Senior Director, AI Lifecycle Management

Centene Corporation

. Lead enterprise AI use case intake, portfolio lifecycle management, and governance process flow and operations .

Posted 11/1/2026full-timeRemote • United StatesSenior💰 $171,900 - $326,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI Portfolio Management, including lifecycle management, governance processes, and risk evaluation. Proven ability to lead cross-functional teams and optimize enterprise workflows while ensuring compliance and operational excellence.

Highest-signal resume keywords

AI Lifecycle ManagementEnterprise Workflow OptimizationGovernance Process ImplementationRisk Tiering EvaluationPortfolio Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Portfolio ManagementLifecycle Stage GatesRisk ScoringEvidence ManagementROI ReportingProcess AutomationControl Tower DashboardData Readiness TriageVendor Relationship ManagementPerformance Expectations Setting

Soft Skills

Relationship BuildingLeadershipCommunicationTeam DevelopmentOperational Interface

Tools & Technologies

AI InventoryAgent RegistryGovernance RecordsEvidence RepositoriesControl Standards

Industry Keywords

Enterprise AI GovernanceComplianceSecurityFinanceOperational Excellence

About the role

Key responsibilities & impact

Lead enterprise AI use case intake, portfolio lifecycle management, and governance process flow and operations
Serve as the single front door and system of record for AI from idea through production and decommissioning
Own the end-to-end workflow aligned to Centene's seven-stage AI lifecycle
Lead the AI Portfolio Management platform, enterprise use case and AI Inventory, Agent Registry, risk tiering evaluation, governance review coordination, evidence management, control tower dashboard, and ROI reporting
Partner with Enterprise AI Governance, Compliance, Security, Legal, Finance, and platform and delivery teams
Ensure internally built, citizen-developed, and vendor-supplied AI systems are registered, risk-tiered, reviewed, and tracked through retirement
Advise senior leadership on AI portfolio health, investment prioritization, and realized value
Define operating processes and service levels and manage the supporting platform and system of record
Own AI intake, including submission, triage, duplicate detection, routing, and intake dispositions
Define lifecycle stage gates, required artifacts, approval checkpoints, and advancement, pause, and closure criteria
Own platform roadmap, phased capability delivery, vendor relationship, registry, and integration strategy
Administer risk tiering and data readiness triage with Enterprise AI Governance
Coordinate AI control-standard reviews and maintain governance records and evidence repositories
Maintain authoritative AI inventories and agent registries, including metadata, risk tier, lifecycle state, dependencies, and lineage
Lead valuation review and enterprise prioritization with business sponsors, Finance, and portfolio leadership
Establish the AI control tower dashboard for portfolio visibility, cycle time, risk, controls, usage, and cost
Own AI ROI and value measurement, validate claims, and publish results
Direct AI system and agent decommissioning, including credential revocation, integration removal, registry retirement, and record retention
Automate lifecycle workflows, risk scoring, approvals, notifications, escalations, and integrations
Publish process documentation, roles, responsibilities, service levels, and requestor guidance
Serve as operational interface to Governance, Compliance, Security, Legal, Procurement, and BTS portfolio leadership
Recruit, develop, and lead managers and senior individual contributors
Set performance expectations, build succession depth, and establish evidence-based portfolio operations
Perform other duties as assigned
Comply with all policies and standards

Requirements

What you’ll need

Bachelor's degree and 10+ years of related experience, including prior management experience
Equivalent experience may substitute for the Bachelor's degree through applicable knowledge, duties, scope and skill reflective of the position level
Proven AI lifecycle management experience preferred
Experience implementing and optimizing enterprise frictionless workflows and process preferred
Strong track record of building relationships and implementing governance processes preferred
Must be authorized to work in the U.S. without employment-based visa sponsorship now or in the future
Sponsorship and future sponsorship are unavailable, including H-1B, L-1, O-1, H-1B1, F-1, J-1, OPT, and CPT

Benefits

Comp & perks

Competitive pay
Health insurance
401K plan
Stock purchase plans
Tuition reimbursement
Paid time off plus holidays
Flexible approach to work with remote, hybrid, field or office work schedules
Additional forms of incentives may be included in total compensation
Equal opportunity employer committed to diversity