Appendix D Position Descriptions and Personnel Qualifications v1.pdf

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RFI/SSN for NCIS DBD IT Support Services (ITSS)
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This document is Appendix D: Position Descriptions and Personnel Qualifications, which outlines the detailed requirements for various positions supporting federal contracting operations.

The appendix details job descriptions and qualifications across multiple position categories and levels, primarily focused on financial management and IT infrastructure roles for the Naval Criminal Investigative Service (NCIS). Key positions include Budget Comptroller (L1), Budget Lead (L1), Budget Analyst (L2-L3), Data Engineer (L1), Data Architect (L1), Data Modeler (L1), Data Scientist (L1), Portfolio Management (L1-L2), Process Improvement Analyst (L2), Project Manager (L1-L2), Requirements Analyst (L1), Cyber Defense Analyst (L2), Cybersecurity System Administrator (L2-L3), Endpoint Security Solutions Engineer (L1-L2), Splunk Administrator (L1-L2), Cyber Security Threat Analyst (L1-L3), Cybersecurity Analyst (L1-L2), System Administrator (L1-L3), Network Engineering positions (L1-L2), VoIP Engineer (L1-L2), VTC Administrator and Engineering (L1-L2), Field Computer Specialist (L2), Key Management Infrastructure (L3), Cybersecurity Engineer (L1), and Administrative Support (L2). The positions require specific technical certifications (including CISSP, CCNP, Security+, PMP, and AWS certifications), relevant work experience ranging from 1 to 10+ years depending on level, and most require Secret or Top Secret/Sensitive Compartmented Information (TS/SCI) clearance. Qualifications emphasize expertise in financial management systems, DoD regulations, cybersecurity frameworks, data management, project management, and collaboration skills with government and contractor personnel.

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Appendix D: Position Descriptions and Personnel Qualifications

HISTORICAL

CATEGORY (LCAT)

LCAT

LEVEL

LCAT DESCRIPTION QUALIFICATIONS/TRAINING/

REQUIRED SKILLS

Budget Comptroller L1 This position serves as a senior budget position serving the

Comptroller's office. Provide analytic support during the budget formulation process. Assist development of budget information for inclusion in Congressional briefings Assist research and tracking

Congressional marks and language.

Monitor Congressional language and assist the preparation of responses to

Congressional queries. Produce

Budget Formulation reports, including Secretariat Review Board

(SRB) submission; maintain alignments within NCIS tracker and

DON financial and reporting systems.

Assistance will be provided for year-end close out to ensure the NCIS obligation rate is 99%. The integrated agency accounting and financial management system, including financial reporting and internal controls, will be maintained.

Compliance with applicable accounting principles, standards, and requirements, and internal control standards will be achieved.

Compliance with policies and requirements as may be prescribed by the Defense Financial Management

Service (DFAS), Department of

Defense Comptroller, and Director of the Office of Management and

Budget (OMB) will be achieved.

Cost information will be developed and reported. Performance data will be systematically measured.

Processes, procedures, and workload distribution will be assessed. Other financial management assignments as required. Obligations and

Expenditures, Track expenditures;

prepare and deliver financial status reports as needed Monitor and process invoice payments, Assist development of year-end closeout funding recommendations for NCIS leadership, Provide and maintain

Government Purchase Card (GPC)

Must have strong accounting skills and at least 10 year’s experience with applicable accounting principles, standards, and requirements including ability to meet internal control standards. Must have experience developing year-end closeout funding recommendations to obtain a 99% obligation rate. Must have experience with accounting and financial management systems, including financial reporting and internal controls. Experience with monitoring and processing invoice payments in the

Department of Defense/Department of the Navy. Experience tracking

Congressional language, researching and tracking Congressional marks, developing budget inputs for

Congressional briefings and preparation of responses to

Congressional queries. Experience creating Budget Formulation reports such as the Secretariat Review Board

(SRB) submission to the Department of the Navy (DON) and balance/maintain internal tracking and DON financial and reporting systems.

reporting log accounting for quarterly expenditures. Maintain accounting skills to meet accounting standards which include maintain integrity of internal controls and financial reports within the integrated agency accounting and financial management system Comply with applicable principles, requirements, and internal control standards. Comply with financial policies and requirements prescribed by Defense Financial

Management Service (DFAS), DoD

Comptroller, and Office of

Management and Budget (OMB).

Budget Lead L1 This position serves as a Financial

Planning Lead coordination with

NCIS Government personnel within the Department of the Navy (DoN), responsible for providing expert guidance and execution in all aspects of financial planning, analysis, and budgeting in accordance with the

Department of War (DoW)

Programming, Planning, Budgeting, and Execution (PPBE) process. The incumbent will lead and contribute to the development, justification, and execution of financial plans and budgets that support the Department's strategic objectives and operational requirements. This role requires a deep understanding of PPBE principles, DoW financial management regulations, and the ability to collaborate effectively with various stakeholders across the organization. Lead the development, justification, and execution of financial plans and budgets for assigned programs or areas, ensuring alignment with strategic priorities and operational requirements.

Develop and prepare budget submissions in accordance with

Resource Sponsor and overall Federal guidance, including preparing his position serves as a Financial

Planning Lead in coordination with

Government personnel within the

Department of the Navy. Requires 7-

10 years of experience in financial planning, analysis, and budgeting. At least 5 years working in accordance with the Department of War (DoW)

Programming, Planning, Budgeting, and Execution (PPBE) process is strongly recommended and preferred.

Experience in Information Technology focused planning preferred. Requires the ability to collaborate effectively with various stakeholders across the organization. Experience preparing financial reports, briefings, and presentations to senior leadership and other stakeholder, clearly communicating financial information and recommendations. Collaboration skills working effectively with various stakeholders across the organization, including program managers and comptroller to ensure alignment of financial plans and budgets.

Experience with IT Portfolio

Management processes and system and financial systems such as PBIS specifically IT preferred. Ability to utilize critical thinking and data analytics tools and techniques to

Program Objective Memoranda

(POMs), Budget Estimate

Submissions (BESs), and other required documentation. Monitor budget execution, identify and analyze variances, and recommend corrective actions to ensure efficient and effective utilization of resources.

Conduct comprehensive financial analysis to support decision-making, including cost-benefit analysis, return on investment analysis, and other relevant financial assessments.

Prepare and present financial reports, briefings, and presentations to senior leadership and other stakeholders, clearly communicating financial information and recommendations.

Collaborate effectively with various stakeholders across the organization, including program managers, resource sponsors, and comptrollers, to ensure alignment of financial plans and budgets. Ensure compliance with all applicable DoW/DON financial management regulations, policies, and procedures. Participate in audits and reviews as required. Identify and implement process improvements to enhance the efficiency and effectiveness of financial planning and budgeting activities. May supervise or mentor junior financial analysts or budget analysts. Provide guidance and support to team members to ensure successful completion of tasks and projects.

Utilize data analytics tools and techniques to extract insights from financial data, identify trends, and support informed decision-making.

Identify and assess financial risks and develop mitigation strategies to minimize potential negative impacts on program performance. Remain current on relevant DoW/DON financial management regulations, policies, and procedures, as well as industry best practices. Coordinate with subject matter experts to prepare and finalize procurement paperwork for Government review and approval.

Coordinate and collaborate with

NCIS personnel, other contractors, extract insights from financial data, identify trends, and support informed decision-making required. Experience identifying and assessing financial risks and develop mitigation strategies to minimize potential negative impacts on program performance. BS in financial management, accounting or related field or validated years of experience required. Data analytic skills preferred.

Proficient use of MS office products a must. Prior experience with

Department of War (DoW) or

Department of Navy (DON) a preferred. Specific Federal Law enforcement (LE) information domain knowledge or previous experience working in LE organizations a plus.

This position requires the person(s) to be eligible and adjudicated to TS/SCI clearance level at contract start.

government agencies, and business partners to ensure success. This position requires the person(s) to be eligible and adjudicated to TS/SCI

Budget Analyst L2 This position serves as a Financial

(Budget) Analyst within the

Department of the Navy, responsible for providing guidance and execution in all aspects of financial planning, analysis, and budgeting in accordance with the Department of War (DoW)

Programming, Planning, Budgeting, and Execution (PPBE) process. The incumbent will provide NCIS IT financial products that support the development, justification, and execution of financial plans and budgets that support DoW, Department of Navy (DON) and the

Naval Criminal Investigative Service

(NCIS) strategic objectives and operational requirements. This role requires an understanding of PPBE principles, DON financial management regulations, and the ability to collaborate effectively with various stakeholders across the organization. Supports the development, justification, and execution of financial plans and budgets for assigned programs or areas, ensuring alignment with strategic goals and operational requirements. Develop and prepare budget submissions in accordance with DoW guidance, including preparing Program Objective

Memoranda (POMs), Budget

Estimate Submissions (BESs), and other required documentation.

Support, manage and track budget creation and execution, identify and analyze variances across IT, and recommend corrective actions to ensure efficient and effective utilization of resources. Track funding and keep records of procurement documentation and actions/decisions across fiscal years.

Organize, collect and analyze it financial data to recommend efficiencies and areas of risk for decision makers. Assist in preparing initial procurement documentation based on IT requirements for review by IT Subject Matter experts to submit funding and package for obligation (contracting) in a timely

Must have a minimum of 4-5 years of

Financial Management experience.

Prefer BS Degree in Financial

Management, Accounting or another relevant field. Must be proficient with

Microsoft Office products. Prefer experience working in the Department of War (DoW) or Department of the

Navy (DON processes and applications/tools. Experience with IT

Portfolio Management processes and system and financial systems such as

ERP and PBIS specifically IT preferred. Understanding of PPBE principles, DoD financial management regulations preferred. Proven collaborative and organizational skills required. Ability to utilize critical thinking and data analytics tools and techniques to extract insights from financial data, identify trends, and support informed decision-making required. Experience utilizing data analytics tools and techniques to extract insights from financial data, identify trends, and support informed decision-making preferred. Experience identifying and assessing financial risks and developing mitigation strategies to minimize potential negative impacts on program performance. Prior experience with Department of War (DoW) or

Department of Navy (DON) a plus.

Specific Federal Law enforcement (LE) information domain knowledge or previous experience working in LE organizations a plus. This position requires the person(s) to be eligible and adjudicated to TS/SCI clearance level at contract start.

manner. Experience with cost-benefit analysis, return on investment analysis, and/or other relevant financial assessments. Prepare and present financial reports, briefings, and presentations to IT leadership and other stakeholders clearly communicating financial information and recommendations. Utilize provided applications to ensure timely approvals and execution of funding for IT requirements;

examples include DON Enterprise

Resource Planning (SAP), compliance applications and internal

NCIS tools. Collaborate effectively with various stakeholders across the organization, including program managers, resource sponsors, and comptrollers, to ensure alignment of financial plans and budgets. Ensure compliance with all applicable

Federal financial management regulations, policies, and procedures.

Participate in audits and reviews as required. Identify and implement process improvements to enhance the efficiency and effectiveness of financial planning and budgeting activities. Provide successful completion of tasks and projects.

Utilize data analytics tools and techniques to extract insights from financial data, identify trends, and support informed decision-making.

Identify and assess financial risks and develop mitigation strategies to minimize potential negative impacts on program performance. Remain current on relevant DoD financial management regulations, policies, and procedures, as well as industry best practices. Work collaboratively with NCIS personnel, other contractors, government agencies, and business partners to ensure success. This position requires the person(s) to be eligible and

Data Engineer L1 This position must enable data-driven decision-making by collecting, transforming, and publishing data.

Design, build, operationalize, secure, and monitor data processing systems with particular emphasis on security and compliance; capability and efficiency; reliability and fidelity; and flexibility and portability/ mobility.

Facilitates data collection and cleaning with proficient analytical skills. Assist with drafting and editing organizational data-related policy. Transform data into a format that can be easily analyzed by developing, maintaining, and testing infrastructures for data generation.

Collaborate closely with data scientists and data architects to provide solutions. Be able to design data processing systems, build and operationalize data processing systems, operationalize machine learning models and ensure solution quality. Experience with managing data pipelines and driving automation through effective metadata management. Proficiency in data warehousing, relational databases, and Extract-Transform-Load (ETL) technologies. Expertise in big data tools and databases, cloud computing technologies, and programming languages such as Java, Python, R, and Scala. Builds and maintains data warehouse databases. Coordinates with other IT departments to ensure implementation and monitoring of databases. Design, enhance and implement ETL/data ingestion platform on the cloud. Work as hands-on data modeler and ad-hoc data analyst when needed implementing solutions to provide stakeholders self-service access to timely, accurate and actionable data that serve their distinct use-cases.

The candidate will require substantial experience and a deep knowledge of data mining techniques, relational, and non-relational databases. Data pipelines are designed and implemented to accept, process, and store both structured and unstructured

A bachelor's or master's degree in computer science, statistics, applied mathematics, data management, information systems, information science or a related quantitative field

[or equivalent work experience] is required. Proven expertise in data engineering, with an emphasis on developing and optimizing data pipelines. Eight (8) years equivalent work in a data engineering, business analytics, business intelligence or comparable data engineering role, including data warehousing and business intelligence tools, techniques and technology Solid understanding of

ETL concepts and workflows. A minimum of ten (10) years of experience in IT, with at least six (6) years or more of work experience in data management disciplines including

[data integration, modeling, optimization and data quality], and/or other areas directly relevant to data engineering responsibilities and tasks.

Strong experience with advanced analytics tools for Object-oriented/object function scripting using languages such as R, Python, Java, and

C++. Strong ability to work proactively and independently while coordinating with IT colleagues for improved solutions. Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.

The ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.IT

Certification in cloud based platforms such as AWS, Azure preferred.

Experience with cloud platforms, including AWS, GCP, and Azure.

Strong experience with popular database programming languages for relational databases and certifications on upcoming NoSQL/Hadoop oriented databases are preferred but not required for non-relational databases.

Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, data. Optimizing data infrastructure to improve performance, scalability, and reliability. Troubleshooting data issues, guaranteeing data quality and integrity. Experience building and maintaining APIs.

Collaborate across teams on the design and maintenance of operational data (ETL, data modeling, metric design, reporting/dashboarding, ) to assure a stable reporting infrastructure. Lead investigations streams of content usage and optimize user experience with data. Emphasize data tagging and cleansing for reporting and meeting Department of Ware (DoW) and Department of Navy (DON) guidance and policy for optimizing the visibility, reliability and accuracy of data while keeping it secure. Be proactive in determining top issues for resolution with recommendations to NCIS Office of the Command

Data Officer and Information

Technology leadership. Take on research projects to improve data processing understanding current data architecture and IT infrastructure while supporting transition to modernized solutions including cloud based solutions. Be exemplary in promoting Data Engineering best practices within the engineering team. Coordinate solutions for data tagging, meta data management and supporting enterprise data governance and management methodologies and processes.

Introduce new skills and knowledge for data management to assist administrators and engineers. Assist with the elicitation and documentation of system requirements. Understand business and technical requirements and constraints to design effective solutions. Create conceptual architectures and detailed designs for solution. This position requires the person(s) to be eligible and adjudicated to TS/SCI clearance level at contract start.

pipeline architectures and integrated datasets using traditional data integration technologies. These should include ETL/ELT, data replication/CDC, message-oriented data movement, API design and access and upcoming data ingestion and integration technologies. Adaptability, critical thinking skills, management and collaboration skills, and verbal and written communication skills. Must be effective in working both independently and in a customer setting. Proficiency with SQL, Python, and other programming languages utilized in data engineering. A thorough understanding of data warehousing principles and technology.

Excellent problem-solving and analytical abilities. Capable of optimizing and tuning data pipelines for performance and efficiency.

Experience with DevOps methodologies for continuous integration and deployment.

Experienced in data modeling and schema design. Proficiency with ETL tools and methods. Experience with data visualization technologies such as

Tableau and Power BI a plus. Ability to assess rapidly changing technologies and apply them to business needs.

Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows and helping to move them in production. Strong experience in working with both opensource and commercial message queuing technologies, stream data integration technologies and stream analytics technologies. Baseline experience working with popular data discovery, analytics and BI software tools to include Tableau, Qlik, and PowerBI for semantic-layer-based data discovery.

Strong experience in working with data science teams in refining and optimizing data science and machine learning models and algorithm preferred. Strong understanding of popular open-source and commercial data science platforms such as Python

& R. Demonstrated success in working with large, heterogeneous datasets to extract business value and automate parts of the tedious data preparation tasks. Experience in working with data governance, data quality, data security teams, data stewards, and privacy and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification.

Demonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid environments, multiple operating systems and through containerization techniques. Adept in agile methodologies and capable of applying DevOps and increasingly

DataOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows between data managers and consumers across an organization.

Excellent problem-solving skills. Prior experience with Department of War

(DoW) or Department of Navy (DON) a plus. Specific Federal Law enforcement (LE) information domain knowledge or previous experience working in LE organizations a plus.

This position requires the person(s) to

Data Architect L1 This position requires experience in

Data strategy, Data and analytics governance, Data modeling, Data architecture, Data and analytics security, Master data management

(MDM), Metadata management and developing linkages between systems. Understand what the data is and how it is used in the business processes. Experience in identifying structural solutions working with database administrators and analyst to secure easy access to data.

Experience with designing, creating, deploying and managing data architecture. Responsible for the delivery of a robust scalable data architecture that meets the business goals of the organization. Ensure the design can scale to handle additional data demands. Experience in data modeling including enterprise data modeling to include conceptual, logical and physical data models.

Experience defining how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data. Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements, and aligns with the enterprise strategy and related business and technical architecture. Experience and knowledge in setting principles, models of data that enable implementation of the intended business architecture, create diagrams showing key data entities, and create an inventory of the data needed to implement the architecture vision.

Experience in organizing data at the macro level and the micro level, providing a logical data model as a standard of consuming applications to inherit and a logical data model with elements and business rules needed for creation of data quality rules. Proven experience in data architecture, analysis and management, with excellent problem-

This role requires a bachelor's degree in computer science, information systems or a related study (Or equivalent project-related experience). A minimum of ten (10) years of experience in IT, with at least five (5) years in information system design. In-depth experience of designing and implementing information solutions.

Hands-on experience with implementing data and analytics management programs is preferred.

Three (3) to five (5) years' experience as a data analyst is highly desirable.

Effective conceptualization, pattern recognition and teaming skills.

Business acumen, and the ability to communicate to executives, business domain stakeholders and technical staff alike. Demonstrated influence, communication, presentation and facilitation skills. Experience with innovation and ideation methods, such as design thinking. Business domain, data/content and process understanding. System integration experience, including interface design, and familiarity with web-oriented architecture techniques. Data modeling and information classification expertise at the enterprise level. Understanding of common information architecture frameworks and information models.

Knowledge of Department of War

(Dow) Enterprise Architecture artifacts a plus. Understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources. Familiarity with data science concepts, as well as Meta

Data Management (MDM), business intelligence, and data warehouse design and implementation techniques.

Experience with distributed management and analytics in cloud and hybrid environments. Also, an understanding of a variety of data access and analytics approaches (for example, microservices and event-based architectures). Knowledge of problem analysis, structured analysis and design, and programming techniques. Ability to assess rapidly solving abilities. Ability to develop strategy documents, roadmaps, plans, socialize concepts, develop business cases, liaise with teams for planning and implementation. Understand what the data is and how it is used in the business processes Document and articulate relationships between business goals and information technology solutions Demonstrates careful attention to quality and accuracy. This position requires the person(s) to be eligible and adjudicated to TS/SCI clearance level at contract start.

changing technologies and apply them to business needs. Strong communication and persuasion skills, including the ability to create marketing and messaging materials that meet stakeholder needs. Ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers a plus. In-depth understanding of solution, business, information and data architectures. Ability to learn and absorb new concepts quickly (in business and in systems), apply new knowledge as appropriate, and mentor others. Experience with a variety of data model tools. Experience of Cloud managed service offering will be preferred. Prior experience with

Department of War (DoW) or

Department of Navy (DON) a plus.

Specific Federal Law enforcement (LE) information domain knowledge or previous experience working in LE organizations a plus. This position requires the person(s) to be eligible and

Data Modeler L1 Experience in Data modeling, Data strategy, and Data architecture, developing linkages between systems and troubleshooting data flow processes. Experience in identifying and maintaining structural solutions working with database administrators, system administrators, and developers to provide access to the data.

Demonstrate experience with creating/updating both tables and stored procedures using defined

Configuration Management (CM) process through the development lifecycle. Experience in using the defined CM process to take ad-hoc queries from a customer through to production. Experience in creating

Power BI reports based on data residing in SQL Server and Oracle databases. Troubleshoot application issues from the application data used in the back-end to the final output seen by the user over multiple servers. Experience reviewing and mitigating STIGs on the application servers. Experience designing and creating data models that represent the structure of data within an organization. Translate business rules and requirements into conceptual, logical, and physical data models that serve as blueprints for database design and ensure data consistency and integrity. Collaboration with

Data Architects, database administrators, and developers to ensure that the data models align with business needs and technical constraints. Demonstrate a deep understanding of data relationships, normalization, and database design principles. Determine impacts on the performance and scalability of applications. Ability to translate complex data into useful information structures that can be easily understood and leveraged. Design and implement data models to meet the organizational needs. Collaborate with business analysts and stakeholders to gather and analyze requirements. Ensure data integrity, This role requires a bachelor's degree in computer science, information systems or a related study (Or equivalent project-related experience). A minimum of ten (10) years of experience in IT, with at least five (5) years in information system design. In-depth experience of designing and implementing information solutions.

Hands-on experience with implementing data and analytics management programs is preferred.

Three (3) to five (5) years' experience as a data analyst is highly desirable.

Effective conceptualization, pattern recognition and teaming skills.

Business acumen, and the ability to communicate to executives, business domain stakeholders and technical staff alike. Demonstrated influence, communication, presentation and facilitation skills. Experience with innovation and ideation methods, such as design thinking. Business domain, data/content and process understanding. System integration experience, including interface design, and familiarity with web-oriented architecture techniques. Data modeling and information classification expertise at the enterprise level. Understanding of common information architecture frameworks and information models.

Knowledge of Department of War

(Dow) Enterprise Architecture artifacts a plus. Understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources. Familiarity with data science concepts, as well as Meta

Data Management (MDM), business intelligence, and data warehouse design and implementation techniques.

Experience with distributed management and analytics in cloud and hybrid environments. Also, an understanding of a variety of data access and analytics approaches (for example, microservices and event-based architectures). Knowledge of problem analysis, structured analysis and design, and programming techniques. Ability to assess rapidly stability, and security across databases.Establish and enforce data modeling standards and best practices.Create and maintain metadata management and data governance. Optimize and tune data models for performance. Support database administrators and engineers in ongoing database tasks.Conduct data model reviews and provide feedback for improvement.

Document and communicate data models and their specifications. Use data modeling tools and software for model creation and management.

Stay current with industry trends and emerging technologies to keep data models updated.This position requires the person(s) to be eligible and adjudicated to TS/SCI clearance level at contract start.

changing technologies and apply them to business needs. Strong communication and persuasion skills, including the ability to create marketing and messaging materials that meet stakeholder needs. Ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers a plus. In-depth understanding of solution, business, information and data architectures. Ability to learn and absorb new concepts quickly (in business and in systems), apply new knowledge as appropriate, and mentor others. Experience with a variety of data model tools. Experience of Cloud managed service offering will be preferred. Prior experience with

Department of War (DoW) or

Department of Navy (DON) a plus.

Specific Federal Law enforcement (LE) information domain knowledge or previous experience working in LE organizations a plus. This position requires the person(s) to be eligible and

Data Scientist L1 This position requires extensive experience in the field of data science, specializing in turning complex data into actionable insights.

The candidate possesses a deep understanding of statistical models, machine learning algorithms, and big data technologies. Ability to solve complex problems, predict trends, and inform strategic decisions through data analysis. designs and implements models that can analyze large datasets to solve various problems and predict future outcomes. The candidate must work closely with business stakeholders to understand their challenges and goals, translating complex data into actionable insights. Collaborating with cross-functional teams to understand business needs and devise possible solutions. This role involves technical skills in programming and data analysis and the ability to communicate findings effectively.

This role provides information in a format that will guide data-driven decision-making processes. Identifies opportunities to improve organizational outcomes using data, builds and oversees predictive models, and tells stories with data that highlight novel insights.

Experiece preparing data for and using visualization tools. Use information to develop data-driven solutions to resolve difficult business challenges. Managing data science projects from conception to deployment. Collaborates with cross-functional teams to drive innovation and improve our data-driven decision-making processes and data standardization and quality. Develop and implement advanced statistical and machine learning models to solve complex problems. Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions. Manage data science projects, ensuring they meet business requirements and are delivered on time. Stay abreast of industry trends

A bachelor’s or master’s degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field or equivalent work experience such as, economics, engineering and physics is required. Minimum of ten

(10) years of previous relevant experience. Six (6)- eight (8) years of relevant project experience in successfully launching, planning, and executing data science projects.

Preferably in the domains of risk modeling, real-time problem solving, enhance efficiency and performance and quality assessment. A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques such as deep learning, etc., is preferred. Ideally, the candidate is adept in agile methodologies and well-versed in applying DevOps/MLOps methods to the construction of ML and data science pipelines. Coding knowledge and experience in several languages:

for example, R, Python, Java, C++, Excel, MATLAB, etc. Experience with popular database programming languages including SQL, PL/SQL, others for relational databases and upcoming nonrelational databases such as NoSQL/Hadoop-oriented databases.

Solid and demonstrable knowledge of machine learning techniques and algorithms. Excellent programming skills in languages such as Java or

Python. Experience with big data technologies and data analysis software like R. Exposure to natural language processing, image processing techniques, and big data stacks like

Hadoop or Apache Spark is highly desirable. Experience in data mining.

Experience and knowledge of

Microsoft products such SharePoint required. Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems. Strong communication skills and the ability to work collaboratively across teams. Excellent problem solving skills. Excellent public speaking and presentation skills.

and advancements in data science and machine learning, continuously improving our methodologies and technologies. Assessing the effectiveness and accuracy of new data sources and data gathering techniques. Implementing new statistical or other mathematical methodologies as needed for specific models or analysis. Developing algorithms to analyze large data sets and provide insights. Driving the collection of new data and the refinement of existing data sources.

Designing and building data platforms for analysis and experimentation. Presenting and visualizing data insights to stakeholders in a comprehensible manner. This position requires the person(s) to be eligible and adjudicated to TS/SCI clearance level at contract start.

Experienced in Problem Analysis and

Project Management, Data Collection and Integration, Data Exploration and

Preparation and Machine Learning.

Collect, analyze, and interpret large data sets. Experience in a wide range of technical competencies including:

statistics and machine learning, coding languages, databases, machine learning, and reporting technologies.

Developing and implementing advanced analytics models. Critical

Thinking skills and problem-solving aptitude. Leading data-driven decision-making processes. Experience working across multiple deployment environments including cloud, on-premises and hybrid environments, multiple operating systems and through containerization techniques such as

Docker, Kubernetes, AWS Elastic

Container Service, and others.

Experience in one (1) or more of the following commercial/opensource data discovery/analysis platforms such as

RStudio and Spark. Expertise in solving vision and text analytics is preferable. Knowledge and experience in statistical and data mining techniques such as text mining, hierarchical clustering, deep learning, , etc. Strong documentation skills. Prior experience with Department of War

(DoW) or Department of Navy (DON) a plus. Specific Federal Law enforcement (LE) information domain knowledge or previous experience working in LE organizations a plus.

Portfolio Management L1 This position is responsible for overseeing the planning, execution, and delivery of a portfolio of IT projects and programs that align with our overall business strategy. This role is centered on optimizing NCIS

IT investments, driving strategic alignment, and ensuring successful project outcomes. Develop and maintain a comprehensive IT portfolio roadmap that aligns with business objectives and priorities.

Establish and maintain portfolio governance processes, including project intake, prioritization, and resource allocation. Regularly monitor and report on the overall performance of the IT portfolio, including budget, schedule, and risk.

Utilize a standard IT Portfolio framework that aligns/crosswalks to resource sponsor authoritative data sources to provide insight into all IT in alignment with resources and mission objectives. Identify and manage dependencies, risks, and issues across the IT portfolio (across the NCIS enterprise). Proactively identify opportunities to optimize the

IT portfolio and improve overall efficiency. Lead portfolio reviews and steering committee meetings to communicate progress, address challenges, and make strategic decisions. Collaborate with business stakeholders to understand their needs and ensure IT projects support their strategic objectives and obtain required information to sustain compliance with Department of War

(DoW) and Department of Navy

(DON) policies, regulations and guidance. Work with IT leadership to define, document and implement

IT strategy and roadmap. Evaluate new project proposals and assess their alignment with the overall IT strategy and portfolio objectives.

Develop and manage the IT portfolio budget, ensuring responsible allocation of resources and effective cost control across the DoW

Planning, Programming, Budget and

Executing lifecycle. Coordinate with

Bachelor's degree in Computer

Science, Information Technology, Business Administration, or a related field or at least eight (8) + years of experience in IT portfolio management, project management, or a related field.

Proven experience in managing large and complex IT portfolios.

Certifications (Preferred): PMP, PgMP, PfMP, ITIL. Strong understanding of

IT strategy and its alignment with business objectives. Excellent financial management skills, including budgeting, forecasting, and cost control. Strong leadership skills, project management expertise, and the ability to effectively communicate with stakeholders at all levels. Strong risk management skills, including risk identification, assessment, and mitigation. Excellent communication, interpersonal, and presentation skills.

Strong analytical and problem-solving skills. Proficiency in project management methodologies (e.g., Agile, Waterfall, Scrum).Proficiency in portfolio management methodologies.

Strong problem-solving and decision-making abilities. Excellent communication and stakeholder management skills. Ability to work effectively under pressure and handle complex projects. Strong knowledge of

IT project management methodologies and tools. Proficiency in portfolio management tools. Prior experience with Department of War (DoW) or

Department of Navy (DON) a plus.

Specific Federal Law enforcement (LE) information domain knowledge or previous experience working in LE organizations a plus. This position requires the person(s) to be eligible and financial analysts and Comptroller's office to keep information current and in alignment with the latest investments and actual costs. Track and report on project and program spending, ensuring adherence to budget and identifying potential cost overruns. Conduct financial analysis and modeling to support investment decisions. Identify and assess potential risks to the IT portfolio and develop mitigation strategies.

Monitor and report on the status of risks and escalate issues as necessary.

Ensure compliance with relevant regulations and quality standards

Effectively communicate portfolio status and progress to stakeholders at all levels of the organization. Build strong relationships with business and IT stakeholders to foster collaboration and alignment.

Facilitate communication and collaboration across project teams.

Continuously identify and implement improvements to IT portfolio management processes and methodologies. Promote best practices in project management and portfolio governance. Provide guidance and support to project teams to ensure successful project delivery.

This position requires the person(s) to

Process Improvement

Analyst

L2 This position is responsible for analyzing and making recommendations for changes to internal processes and/or standards/specifications in order to build more efficient and economical operations for Information

Technology services. Manage process improvement projects from inception to completion. Analyzes existing processes and creates new processes when need with the goal of more efficient and effect use of resources

(personnel and funding) and impactful results such as mission outcomes and higher compliance rates to IT mandates/guidance.

Document business processes, analyzing practices, improving efficiency, and tracking progress to evaluate IT efficiency and effectiveness or change in business practices and/or policy. Develop process maps and flowcharts to visualize current and future state processes. Apply process modeling tools, process improvement methodology, benchmarking, project management, and strategies to projects. Utilize Key Performance

Indicators, root cause analysis and business process improvement methodology. Assist with policy updates and Standard Operating

Procedures to reflect updated processes. Collaborate with stakeholders to identify problems and suggest solutions through developing creative and scalable ways to solve organizational challenges. Analyze existing business and IT processes and develop strategies for improvement. Implement, monitor, and upgrade the improved processes.

Document all process changes and updates. Work closely with all departments to ensure process improvements are implemented effectively. Provide training and guidance to team members to understand process changes. Monitor the impact of process changes and make adjustments as necessary.

Prepare and present reports on the

BS degree in Business Administration, Engineering, or relevant field or equivalent of eight (8) + years as IT process improvement analyst. Certified

Business Process Professionals (CBPP) certification or other relevant certifications a plus. Ability to exercise independent judgment and decision-making, along with knowledge of when to get others involved. Proficient in application of business process improvement methodology, benchmarking, and change management. Strong customer service orientation. Self-starter, proactive and excellent collaboration and communication skills required. Proven critical thinking, analytical, and problem-solving skills. Strong organizational skills, with an ability to prioritize workload and balance multiple projects simultaneously, and demonstrated successful follow through on deliverables. Experience working in or with the Federal

Government in this role a plus.

Experience working to improve IT preferred. Proven work experience as a

Process Improvement Specialist or similar role. Strong understanding of

Lean Six Sigma or other process improvement methodologies. Strong analytical skills with attention to detail.

Strong problem-solving and decision-making skills. Proficient in data analysis and statistical software a plus.

Ability to manage multiple projects and tasks concurrently. Excellent communication and presentation skills.

Proficiency in process mapping software and other relevant computer applications. Prior experience with

Department of War (DoW) or

Department of Navy (DON) a plus.

Specific Federal Law enforcement (LE) information domain knowledge or previous experience working in LE organizations a plus. This position requires the person(s) to be eligible and progress and impact of process improvement initiatives. Coordinate with IT colleagues for any system changes, updates or issues.

Facilitate change management and encourage adoption of new processes

This role involves identifying, analyzing, and improving upon existing business processes within the organization for optimization and to meet new quotas or standards of quality. The Process Improvement

Specialist will have a keen understanding of our existing business and IT processes, be able to document those processes, analyze operational metrics, and perform gap analysis. Ultimately, the role of the

Business Process Improvement

Specialist is to ensure that business processes are efficient, effective, and capable of adapting to new improvements or changes in the IT environment. Analyze business and

IT processes and workflows with the objective of finding out how they can be improved or automated. Facilitate process workshops that involve eliciting process requirements and liaising with users. Document procedures and present new process designs to stakeholders. Collaborate with operational teams and management to implement and manage process changes. Monitor and measure the effectiveness of processes to ensure consistent value delivery. Provide analysis of process changes reflected as IT services modernize such as movement to the

Cloud and implementation of Federal mandates. Manage the change and issue resolution processes. Identify the potential impact of proposed changes on the technology (systems, infrastructure and services). Manage process improvement projects, including scheduling, budgeting, and risk assessment. Continually reassess the operational risks associated with the IT process and its purpose supporting mission outcomes.

Develop training materials and provide training and support to staff regarding new processes. This position requires the person(s) to be eligible and adjudicated to TS/SCI

Budget Analyst L3 This position serves as a Juinor

Financial (Budget) Analyst within the

Department of the Navy, responsible for providing suport and execution in all aspects of financial planning, analysis, and budgeting in accordance with the Department of War (DoW)

Programming, Planning, Budgeting, and Execution (PPBE) process. The incumbent will provide NCIS IT financial products that support the development, justification, and execution of financial plans and budgets that support DoW, Department of Navy (DON) and the

Naval Criminal Investigative Service

(NCIS) strategic objectives and operational requirements. This role requires an understanding of PPBE principles, DON financial management regulations, and the ability to collaborate effectively with various stakeholders across the organization. Supports the development, justification, and execution of financial plans and budgets for assigned programs or areas, ensuring alignment with strategic goals and operational requirements. Support, manage and track budget creation and execution, identify and analyze variances across

IT, and recommend corrective actions to ensure efficient and effective utilization of resources. Track funding and keep records of procurement documentation and actions/decisions across fiscal years.

Organize, collect and analyze IT financial data, recommend efficiencies and areas of risk for decision makers. Assist in preparing procurement documentation based on

IT requirements for review by IT

Subject Matter experts to submit funding and package for obligation

(contracting) in a timely manner.

Experience with cost-benefit analysis, return on investment analysis, and/or other relevant financial assessments preferred. Prepare and present financial reports, briefings, and presentations to IT leadership and other stakeholders clearly

Must have a minimum of 3 years of

Financial Management experience.

Prefer BS Degree in Financial

Management, Accounting or other relevant field. Must be proficient with

Microsoft Office products and have basic technology skills. Experience with SAP Enterprise Resource Planing

(ERP) highly recommended. Prefer experience working in the Department of War (DoW) or Department of the

Navy (DON processes and applications/tools. Experience with IT

Portfolio Management processes and system and financial systems such as

ERP and PBIS…

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