Lead a multidisciplinary SETA team supporting enterprise data strategy, architecture, engineering, governance, and acquisition.
Guide enterprise data architecture and service expansion to support current and future constellations, ensuring interoperability, scalability, and cross-program integration.
Translate enterprise data strategies and mission objectives into technical requirements, implementation roadmaps, and acquisition strategies.
Lead technical and acquisition planning, including requirements, cost estimates, schedules, acquisition documentation, and evaluation of proposed solutions.
Oversee systems engineering and integration of enterprise data capabilities, including data models, catalogs, metadata, provenance, lineage, and lifecycle management.
Coordinate cross-program dependencies, interfaces, and priorities to identify capability gaps, mitigate risks, and advance enterprise-wide solutions.
Evaluate technical and programmatic performance against cost, schedule, and mission objectives; provide assessments, trade studies, and recommendations to Government leadership.
Qualifications
Required Qualifications
Must possess and be able to maintain a TS/SCI with Poly
Bachelor’s degree in Computer Science, Software Engineering, Systems Engineering, Electrical Engineering, or a related technical discipline with 10-12 years of relevant experience; OR a Master’s degree with 8-10 years of experience; PhD with 5-7 years of experience OR equivalent relevant professional experience.
Extensive experience supporting enterprise data systems, data architecture, systems engineering, or complex technical programs.
Demonstrated experience leading multidisciplinary technical teams and coordinating engineering activities across organizations or programs.
Experience translating enterprise strategies and mission requirements into technical architectures, executable implementation plans, and acquisition activities.
Strong understanding of enterprise data architecture, governance, metadata management, data lifecycle, and interoperability across distributed systems.
Experience supporting acquisition planning, technical evaluations, and management of scope, cost, schedule, performance, and program risk.
Demonstrated ability to assess complex technical alternatives, communicate tradeoffs, and provide strategic recommendations to senior Government stakeholders.
Desired Qualifications
Experience supporting Intelligence Community or DoD enterprise data initiatives, including integration of data services across multiple mission systems, programs, or constellations.
Experience developing or modernizing enterprise data architectures, including cloud-based or distributed data platforms, data catalogs, ontologies, metadata frameworks, and data integration services.
Familiarity with Government acquisition processes, Agile/DevSecOps, Digital Engineering, and Model-Based Systems Engineering (MBSE) practices
Equal Pay Act
This is the projected compensation range for this position. There are differentiating factors that can impact a final salary/hourly rate, including, but not limited to, Contract Wage Determination, relevant work experience, skills and competencies that align to the specified role, geographic location (For Remote Opportunities), education and certifications as well as Federal Government Contract Labor categories. In addition, Arcfield invests in its employees beyond just compensation. Arcfield ’s benefits offerings include, dependent upon position, Health Insurance, Life Insurance, Paid Time Off, Holiday Pay, Short Term and Long-Term Disability, Retirement and Savings, Learning and Development opportunities, wellness programs as well as other optional benefit elections.
- Min: $120,572.56
- Max: $209,652.29
- EEO Statement
We are an equal opportunity employer and federal government contractor. We do not discriminate against any employee or applicant for employment as protected by law.
Arcfield is seeking a Data Strategy & Systems Engineering Manager to lead Systems Engineering Technical Advisor (SETA) support to the GED Enterprise Data and Applications Platforms (EDAP) office under the Merigold contract, advancing enterprise data strategy, architecture, governance, and implementation.
In this role, you will lead a multidisciplinary SETA team responsible for translating enterprise data strategy and evolving mission requirements into executable technical solutions and acquisition outcomes. You will guide the expansion and integration of enterprise data services across existing and future constellations, working with Government leadership, System Program Offices, architects, engineers, acquisition professionals, and mission partners to advance interoperable, scalable data capabilities.
The ideal candidate combines technical expertise in enterprise data systems with strong leadership, systems engineering, and acquisition experience. You will help shape future data architectures, align cross-program investments and dependencies, and ensure technical initiatives are appropriately scoped, resourced, and executed within cost, schedule, and performance constraints. This position requires the ability to balance enterprise-wide strategic objectives with practical implementation and provide independent recommendations to senior Government leadership.
Key Responsibilities
Lead a multidisciplinary SETA team supporting enterprise data strategy, architecture, engineering, governance, and acquisition.
Guide enterprise data architecture and service expansion to support current and future constellations, ensuring interoperability, scalability, and cross-program integration.
Translate enterprise data strategies and mission objectives into technical requirements, implementation roadmaps, and acquisition strategies.
Lead technical and acquisition planning, including requirements, cost estimates, schedules, acquisition documentation, and evaluation of proposed solutions.
Oversee systems engineering and integration of enterprise data capabilities, including data models, catalogs, metadata, provenance, lineage, and lifecycle management.
Coordinate cross-program dependencies, interfaces, and priorities to identify capability gaps, mitigate risks, and advance enterprise-wide solutions.
Evaluate technical and programmatic performance against cost, schedule, and mission objectives; provide assessments, trade studies, and recommendations to Government leadership.
Required Qualifications
Must possess and be able to maintain a TS/SCI with Poly
Bachelor’s degree in Computer Science, Software Engineering, Systems Engineering, Electrical Engineering, or a related technical discipline with 10-12 years of relevant experience; OR a Master’s degree with 8-10 years of experience; PhD with 5-7 years of experience OR equivalent relevant professional experience.
Extensive experience supporting enterprise data systems, data architecture, systems engineering, or complex technical programs.
Demonstrated experience leading multidisciplinary technical teams and coordinating engineering activities across organizations or programs.
Experience translating enterprise strategies and mission requirements into technical architectures, executable implementation plans, and acquisition activities.
Strong understanding of enterprise data architecture, governance, metadata management, data lifecycle, and interoperability across distributed systems.
Experience supporting acquisition planning, technical evaluations, and management of scope, cost, schedule, performance, and program risk.
Demonstrated ability to assess complex technical alternatives, communicate tradeoffs, and provide strategic recommendations to senior Government stakeholders.
Desired Qualifications
Experience supporting Intelligence Community or DoD enterprise data initiatives, including integration of data services across multiple mission systems, programs, or constellations.
Experience developing or modernizing enterprise data architectures, including cloud-based or distributed data platforms, data catalogs, ontologies, metadata frameworks, and data integration services.
Familiarity with Government acquisition processes, Agile/DevSecOps, Digital Engineering, and Model-Based Systems Engineering (MBSE) practices
