Senior Director, AI Lifecycle Management

Leads enterprise AI use case intake, portfolio lifecycle management, and governance process flow/operations (not policy creation) for the company, serving as the single front door and system of record for AI from idea through production and eventual decommissioning. Owns the end‑to‑end AI lifecycle workflow aligned to the company's seven‑stage AI lifecycle — plan and design, data collection, build, testing and validation, integration and E2E testing, operations and monitoring, and measurement and real‑world value.

Accountable for the AI Portfolio Management platform, the enterprise use case and AI Inventory, Agent Registry, risk tiering evaluation, governance review coordination and evidence management, the AI control tower dashboard, and enterprise ROI collection and reporting. Partners closely with Enterprise AI Governance, Compliance, Security, Legal, Finance, and platform and delivery teams to ensure every AI system — internally built, citizen‑developed, or vendor‑supplied — is registered, risk‑tiered, reviewed against applicable control standards, and tracked through retirement.

Leads a team of managers and individual contributors and advises senior leadership on AI portfolio health, investment prioritization, and realized value.

the company is going through our biggest transformation in our history to become the market leader, and AI is the key tool to enable the transformation. This is an exciting opportunity to use AI to transform a Fortune 20 company, and to change healthcare for the better! This is a remote role within the United States, requiring business travel 2-3 times per quarter.

Candidates must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. Sponsorship and future sponsorship are not available for this opportunity, including employment-based visa types H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, or CPT.

• Provides strategic and operational leadership for enterprise AI intake, lifecycle management, portfolio governance operations, and value measurement. Owns the supporting platform and system of record, defines the operating process and service levels, builds and manages a multi-level team, and is accountable for portfolio transparency, control adherence, and demonstrated business value across all AI systems in the enterprise.
• Owns the enterprise AI intake process as the single front door for all AI use cases — internal, citizen-developed, and vendor-supplied — including submission, triage, duplicate detection, platform and harness routing, and the defined set of intake dispositions.
• Defines and operates the end-to-end AI lifecycle workflow mapped to the company's seven-stage AI lifecycle, including stage gates, required artifacts, approval checkpoints, and criteria for advancing, pausing, or closing a use case.
• Owns the AI Portfolio Management platform as the single system of record and orchestration spine for the AI portfolio, including product roadmap, phased capability delivery, vendor relationship, agent registry, and integration strategy with adjacent platforms rather than parallel workflows.
• Administers risk tiering and data readiness triage in partnership with Enterprise AI Governance, applying the enterprise risk model consistently across use cases and routing to the required review and approval paths.
• Coordinates governance review and approval against applicable AI control standards — including pre-intake, pre-deployment, and post-deployment controls — and maintains the centralized governance records and evidence repository supporting audit, regulator, and state Medicaid requirements.
• Owns the enterprise use case, AI Inventory, and Agent Registry as the authoritative source for AI…