Senior Director, AI Lifecycle Management

Position Purpose: Leads enterprise AI use case intake, portfolio lifecycle management, and governance process flow/operations (not policy creation) for Centene, 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 Centene'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.

Key Details: Centene 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 Centene'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 systems and agents, including ownership metadata, risk tier, lifecycle state, data dependencies, and lineage to the AI systems each agent powers; drives automated discovery and reconciliation against the registry.

• Leads use case valuation review and coordinates enterprise prioritization, partnering with business sponsors, finance, and portfolio leadership to assess business value, readiness, cost, and reuse potential before organizational resources are committed.

• Establishes and operates the AI control tower dashboard, delivering enterprise-level visibility into portfolio status, pipeline volume and cycle time, risk distribution, control adherence, usage, and cost.

• Owns enterprise ROI and value measurement for AI — defining the benefit framework and baselines, collecting realized value from production use cases, validating claims with business and Finance partners, and publishing results to leadership and governance forums.

• Directs the decommissioning discipline for AI systems and agents, including retirement criteria, credential revocation, integration removal, registry retirement, and record retention.

• Drives automation of the lifecycle — replacing manual intake, re-keyed data, and disconnected…