Intelligence Data Integration Manager (TS/SCI Required)

Location: Ft. Belvoir, VA

Clearance Required: TS/SCI minimum (U.S. Citizen)

Employment Type: Full-Time

About Praescient Analytics

Praescient Analytics is a leader in delivering advanced analytic, data engineering, and technology integration solutions in support of the Department of Defense (DoD), Intelligence Community, and federal law enforcement. Our mission is to empower analysts and decision‑makers through data‑driven insights, enabling faster and more effective mission outcomes.

About the role

Praescient Analytics is seeking a highly skilled Data Integration Manager (Team Lead) to support the Data Capabilities Division (DCD) within INSCOM. This role is responsible for leading the design, integration, and operational sustainment of data pipelines, messaging systems, and enterprise data services that enable seamless intelligence sharing across U.S. Army, Joint, and coalition networks. The Data Integration Manager will provide both technical leadership and mission‑focused expertise to ensure data is discoverable, accessible, interoperable, and secure across multiple classification domains and mission systems.

Responsibilities

• Lead the design, development, and sustainment of data integration pipelines and messaging architectures.
• Oversee integration of structured and unstructured data across multiple platforms and networks.
• Ensure interoperability between systems supporting the Army Intelligence Data Platform (AIDP) and related mission systems.
• Guide implementation of API integrations, ETL/ELT processes, and data transformation workflows.
• Implement and enforce data governance frameworks, metadata standards, and data quality controls.
• Ensure compliance with IC and DoD data standards (e.g., ICD 501, ICS guidance).
• Support development and maintenance of data catalogs and tagging strategies.
• Support integration of data across multiple security domains and networks (e.g., JWICS, SIPRNET, NIPRNET, coalition systems).
• Collaborate with Cross Domain Solution (CDS) teams to enable secure data transfer and accessibility.
• Ensure compliance with classification, releasability, and security policies.
• Lead integration efforts within cloud‑based and hybrid environments.
• Support deployment and integration of services within government‑authorized cloud platforms.
• Ensure scalability, performance, and resilience of data systems.
• Lead and mentor a team of data engineers, integration specialists, and analysts.
• Manage tasking, priorities, and workload distribution.

Required Qualifications

• Active Top Secret/SCI clearance (CI Polygraph eligible).
• Minimum 8 + years of experience in data integration, systems engineering, data engineering, or intelligence data environments.
• Minimum 4 years of demonstrated experience leading teams and managing work tasks of personnel conducting intelligence planning, collection, processing, analysis & dissemination.
• Ability to deliver professional briefings and presentations to diverse audiences (technical and non‑technical).
• Ability to draft and maintain documentation, including Standard Operating Procedures (SOPs), technical documentation, and reports incorporating text and graphics.
• Strong expertise in data integration architectures (ETL/ELT, streaming, batch processing), messaging systems and data exchange frameworks, and API development/system interoperability.
• Experience with cloud environments (AWS, Azure, or GovCloud platforms).
• Strong understanding of data governance and metadata standards, cybersecurity and RMF requirements, and multi‑domain/cross‑domain data environments.
• Bachelor’s degree in a related field from an accredited institution.
• Current DoDD 8140.01 (formerly DoDD 8570.01‑M) certification – IAT Level II (or higher) (e.g., CompTIA Security+, CompTIA CySA+, CompTIA Cloud+, GSEC, GCIH, CCNA, CEH).

Preferred Qualifications

• Experience supporting INSCOM, Army G‑2, or enterprise intelligence platforms (e.g., AIDP, NGC2).
• Familiarity with AI/ML data pipelines and analytics platforms.
• Experience with tools such as Apache Kafka, NiFi, Elasticsearch, Hadoop, or other big‑data ecosystems.
• Relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Engineer).
• Experience working in Agile or DevSecOps environments.

Benefits

• Competitive salary based on qualifications and experience.
• Company‑paid healthcare (premiums and deductibles).
• 401(k) with company match.
• Travel & performance incentives.
• Three weeks paid time off plus Federal holidays.
• $5,000 annual training allowance.
• $500 book allowance.
• Tuition reimbursement program.