Strategic Delivery Lead, Intelligence Community

Strategic Delivery Lead (SDL) for the Intelligence Community

The Strategic Delivery Lead (SDL) for the Intelligence Community will identify, shape, and deliver OpenAI's highest-impact deployments for U.S. intelligence organizations. You will help IC customers translate mission priorities—including all-source analysis, intelligence production, collection management, open-source and geospatial exploitation, cyber threat analysis, knowledge discovery, and analyst productivity—into secure, technically feasible AI deployments built on the OpenAI API and enterprise products. The role is highly cross-functional and customer-facing: you will partner with Research, Engineering, Go-to-Market, Security, Legal, Privacy, and government mission, acquisition, and technical stakeholders to align on scope, remove delivery obstacles, and communicate progress from working teams to agency leadership.

You will own end-to-end execution of technical delivery work streams led by Forward Deployed Engineers, Researchers, Solutions Architects, and Enablement teams. You will establish mission outcomes, requirements, integrated roadmaps, milestones, dependencies, and acceptance criteria; coordinate secure architecture, data integration, evaluation, authorization, and production rollout; proactively surface risks; and ensure every engagement demonstrates measurable customer value. Accountability for contractual milestones, delivery governance, and acceptance criteria sits with you.

This is a high-trust, high-autonomy role. Success requires technical fluency, deep program-management expertise, executive presence, sound judgment in classified environments, and a commitment to translating novel AI capabilities into trusted, real-world intelligence mission outcomes.

In this role, you will:

• Build trusted relationships with IC mission owners, analysts, collectors, operators, Chief Information Officers, Chief Data Officers, Chief Information Security Officers, and acquisition leaders to identify and prioritize high-value, mission-ready AI use cases.
• Own delivery of complex IC engagements from discovery and technical shaping through pilot, security authorization, production deployment, customer acceptance, and sustained adoption; maintain accountability for contractual milestones, integrated schedules, scope, and mission outcomes.
• Translate intelligence mission requirements, analytic tradecraft, data constraints, and security policies into clear technical requirements, architectural decisions, delivery plans, and executive-level communications; lead technical exchanges, design reviews, and customer briefings.
• Partner with IC elements, mission integrators, cloud and infrastructure providers, industry partners, and academia to develop AI applications for intelligence analysis, collection and exploitation workflows, cyber defense, multilingual research, knowledge retrieval, and other priority missions.
• Lead cross-functional teams spanning Forward Deployed Engineering, Solutions Architecture, Research, Product, Security, Legal, Privacy, and customer mission teams to design, evaluate, and deliver generative AI, retrieval-augmented generation, and agentic workflow solutions.
• Establish delivery operating rhythms, program roadmaps, milestone and dependency tracking, risk and decision governance, customer reporting, and measurable indicators of mission impact, user adoption, model quality, and operational readiness.
• Coordinate deployment and integration requirements across approved classified and unclassified environments, IC cloud, restricted networks, and multiple security domains; work with security and accreditation stakeholders on identity and access management, data handling, cross-domain constraints, the Risk Management Framework, Authority to Operate, and applicable IC security requirements such as ICD 503.
• Partner with customer security, privacy, civil liberties, legal, and analytic leaders to incorporate human oversight, source provenance, explainability, model evaluations, red-teaming, bias mitigation, and lifecycle monitoring consistent with the IC's AI ethics principles and analytic standards.
• Anticipate and mitigate technical,…