Remote Head of AI Lifecycle & Portfolio Operations

Centene Corporation; Georgia; Remote; USD 172,000 - 327,000; Full time

Benefits offered by this job

Remote/hybrid/field or office work S

Job summary

Centene Corporation is seeking a senior leader to own enterprise AI intake, lifecycle governance, and ROI measurement across the organization. This role leads a multi-level team, defines operating processes, and drives value from AI systems—from idea through production and retirement.

You will partner with Compliance, Security, Legal, Finance, and platform teams to ensure risk-aware, auditable AI adoption. This remote US role requires travel 2–3 times per quarter and supports Centene’s

Qualifications

• Requires a Bachelor's degree and 10+ years of related experience, including prior management experience.
• Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position.

Responsibilities

• 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 reviews with integrated workflow, automated risk scoring, multi-stage approvals, notifications and escalations, and enterprise integrations - and is accountable for cycle-time and service-level improvement across the front door.
• Establishes and publishes process documentation, roles and responsibilities, service levels, and requestor-facing guidance so business and technology partners understand what is required at each gate and how long each step takes.
• Serves as the primary operational interface to Enterprise AI Governance, Compliance, Security, Legal, Procurement, and BTS portfolio leadership on AI lifecycle matters, escalating exceptions and contested risk determinations through defined channels.
• Recruits, develops, and leads a team of managers and senior individual contributors; sets performance expectations, builds succession depth, and establishes a culture of disciplined, evidence-based portfolio operations.
• Performs other duties as assigned.
• Complies with all policies and standards.

Education

Bachelor's degree

Job description

Centene Corporation is seeking a senior leader to own enterprise AI intake, lifecycle governance, and ROI measurement across the organization. This role leads a multi-level team, defines operating processes, and drives value from AI systems—from idea through production and retirement.

You will partner with Compliance, Security, Legal, Finance, and platform teams to ensure risk-aware, auditable AI adoption. This remote US role requires travel 2–3 times per quarter and supports Centene’s