Vice President AI Transformation

Amerihealth Caritas • ,

2d

About The Position

The Vice President, AI Transformation Office (AI TO) leads the enterprise artificial intelligence and machine learning transformation program and serves as the operational leader of the AI Transformation Office. Reporting to the AI Steering Committee, the role executes the enterprise AI strategy and establishes the central operating model for AI/ML governance, investment portfolio management, use-case oversight, regulatory readiness, responsible AI, and value realization.

The role translates enterprise priorities into a managed portfolio of AI/ML initiatives, including generative AI, predictive and classification models, forecasting, fraud detection, clinical prediction, risk stratification, and risk adjustment models. It coordinates decisions across business, clinical, technology, finance, legal, compliance, enterprise risk, information security, sourcing, and regulatory stakeholders, and ensures approved investments deliver measurable financial, operational, quality, member, and provider outcomes.

The position leads the AI Transformation Office team and its governance, portfolio, intake, risk, delivery-lifecycle, performance-management, and change-management processes. It partners with Information Technology, business and clinical owners, Finance, Compliance, Legal, Enterprise Risk, Human Resources, and other enterprise functions. The role provides lifecycle governance and stage-gate oversight, while Information Technology is responsible for underlying engineering execution and production operations.

AmeriHealth Caritas is a mission-driven healthcare organization headquartered in Newtown Square, with more than 30 years of experience. It delivers integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services. The posting describes flexible work solutions, including remote options and hybrid schedules. For fully remote or hybrid work, associates need reliable high-speed internet with minimum bandwidth of 50 Mbps download and 5 Mbps upload. Fully remote associates residing in states where reimbursement is required by contract, law, or regulation may submit for reimbursement.

Requirements

• Bachelor’s degree required; a degree in business, healthcare administration, information systems, computer science, data and analytics, engineering, or a related field is required.
• At least 10 years of experience is stated in the Education/Experience section.
• 12 or more years of progressive leadership experience in enterprise transformation, healthcare, operations, technology, portfolio management, strategy, consulting, or a related field.
• Demonstrated experience leading complex, cross-functional transformation programs and executive governance processes.
• Experience managing significant investment portfolios, business cases, budgets, value realization, and performance reporting.
• Experience operating in a highly regulated environment and partnering with Legal, Compliance, Risk, Information Security, Finance, and Technology.
• Demonstrated ability to communicate with executive leaders, boards, regulators, and diverse business and technical stakeholders.
• Executive-level strategic thinking and ability to translate strategy into portfolio choices, operating plans, measurable outcomes, and clear accountabilities.
• Strong understanding of enterprise AI, risks, governance, delivery lifecycle, economics, and adoption requirements.
• Financial acumen, including investment prioritization, total cost of ownership, benefits measurement, budget management, and return-on-investment analysis.
• Knowledge of healthcare payer operations and regulatory expectations applicable to AI-enabled decisions, reporting, transparency, and oversight.
• Exceptional stakeholder management, facilitation, written communication, executive presentation, negotiation, and influence skills.
• Ability to lead through ambiguity, establish new processes, resolve cross-functional issues, and maintain momentum in a rapidly evolving environment.
• Commitment to responsible AI, member and provider trust, data protection, information integrity, transparency, and human oversight.
• For remote or hybrid work, access to reliable high-speed internet with at least 50 Mbps download and 5 Mbps upload is required.

Nice To Haves

• Master’s degree in business administration, healthcare administration, technology, analytics, or a related discipline.
• Leadership experience in artificial intelligence, machine learning, digital transformation, automation, advanced analytics, or emerging technology.
• Healthcare payer, managed care, Medicaid, Medicare, or other government-sponsored healthcare experience.
• Experience establishing responsible AI governance, model risk management, AI regulatory reporting, or enterprise AI portfolio management.
• Experience scaling new enterprise functions, operating models, centers of excellence, or transformation offices.

Responsibilities

• Execute the enterprise AI strategy on behalf of, and report to, the AI Steering Committee.
• Lead the AI Transformation Office operating model, decision processes, governance forums, standards, and procedures.
• Prepare executive, board, and regulatory updates; escalate critical risks, investment decisions, and performance issues to the AI Steering Committee.
• Facilitate AI Steering Committee agendas, decision materials, portfolio reviews, and follow-through on approved actions.
• Build, lead, and scale the AI Transformation Office team; recruit, develop, engage, and retain talent across governance, portfolio management, program delivery, value realization, risk coordination, and change management.
• Lead cross-functional teams and workgroups through clear decision rights, accountability, and communication, and advise executive leadership on AI opportunities, investment, risk, operating models, and workforce implications.
• Establish and manage the AI investment portfolio, including initiatives funded through an AI-specific funding envelope, in coordination with enterprise capital planning governance and stage-gate processes.
• Develop and maintain criteria for evaluating AI initiatives, including strategic alignment, cost, time to value, readiness, reusability, scalability, member and provider impact, savings, quality, risk adjustment, and regulatory risk.
• Oversee business cases, funding recommendations, resource planning, investment sequencing, and portfolio performance.
• Ensure Transformation Office-approved initiatives continue through organizational capital planning Stage Gate approvals in cooperation with enterprise planning and governance partners.
• Serve as the single enterprise intake point for relevant AI/ML use cases, including vendor and delegated-entity solutions with embedded AI; triage use cases and determine governance and oversight requirements.
• Maintain the enterprise AI inventory as the source of truth for governance, monitoring, and regulatory reporting.
• Assess applicable internal governance, regulatory pre-approval, and disclosure requirements; determine required internal approvals and manage the approval process.
• Coordinate clearances across Sourcing, Legal, Compliance, Information Security, the IT Architecture Review Board, and Enterprise Risk Management as necessary.
• Operate the process for assessing compliance, legal, information security, architecture, procurement, sourcing, and enterprise risk implications of AI use cases.
• Apply AI-specific risk-management processes based on use-case risk, partnering with Compliance and Enterprise Risk Management and consulting Legal and Information Security.
• Establish and maintain processes for business and clinical owners to submit and periodically update risk assessments, risk-management plans, and supporting documentation.
• Collect use-case information, prepare draft disclosure and pre-approval documents, and provide them to the appropriate Compliance team for review and submission to regulators.
• Maintain AI inventory, risk classifications, monitoring procedures, and auditable operating procedures aligned with enterprise policy.
• Provide lifecycle governance, standards, and stage-gate oversight for internal AI builds and third-party AI solutions, and confirm requirements are met.
• Partner with Information Technology on delivery governance while IT is responsible for engineering execution, including build, environments, data pipelines, CI/CD, DevOps, testing infrastructure, and production operations.
• Establish clear accountabilities and handoffs across the Transformation Office, IT, business and clinical owners, Compliance, Legal, Enterprise Risk, Finance, and enterprise governance bodies.
• Promote scalable, reusable, secure, and responsible AI delivery practices across the enterprise.
• Own the methodology for measuring AI value and track realized benefits against approved commitments.
• Establish portfolio dashboards covering investment, delivery, adoption, risk, regulatory status, operating cost, and outcomes.
• Monitor deployed AI solutions and lead corrective action when results, controls, or adoption do not meet expectations.
• Partner with Finance and IT to define and support reporting for AI licenses, consumption costs, ongoing run costs, agent usage, and total cost of ownership.
• Drive enterprise AI literacy, education, adoption, and responsible-use practices.
• Lead change management for AI-enabled operating-model and workflow changes.
• Partner with Human Resources and functional leaders on employee upskilling, AI literacy, productivity, workforce readiness, change management, and enterprise adoption.

Benefits

• Flexible work solutions, including remote options and hybrid work schedules.
• Competitive pay.
• Paid time off, including holidays and volunteer events.
• Health insurance coverage for the associate and dependents on Day 1.
• 401(k).
• Tuition reimbursement.
• Reimbursement may be available for fully remote associates in states where it is required by contract, law, or regulation.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive