Enterprise AI Portfolio Principal

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Enterprise AI Portfolio Strategy and Management

• Partner with Enterprise AI leaders, product leaders, platform engineering leaders, architecture leaders, Finance, and business stakeholders to align investments with strategic priorities and delivery roadmaps.

• Serve as the senior portfolio management subject-matter expert for Enterprise AI, integrating the Operational Budget, AI Platform Investments, Enterprise AI Capabilities, Applied AI Products, and innovation or incubation initiatives.

• Design and continuously improve portfolio management processes that provide transparency into funding, delivery, resource allocation, dependencies, risks, outcomes, and strategic tradeoffs.

• Facilitate annual planning, quarterly portfolio reviews, and ongoing prioritization activities, translating complex inputs into clear recommendations for leadership.

• Advance Lean Portfolio Management practices and portfolio operating-model maturity across Enterprise AI.

• Maintain traceability from strategic objectives through funding, delivery, adoption, and measurable business outcomes.

• Identify portfolio-level risks, dependencies, capacity constraints, and investment tradeoffs, and provide options for resolution.

Investment and Financial Management

• Lead the analytical and governance work for portfolio investment planning, budgeting, forecasting, and financial management.

• Partner closely with Enterprise AI Finance, IT Finance, and Segment Finance to support investment planning and operational budget management.

• Develop and maintain business-case methodologies, financial models, scenario analyses, and value-realization frameworks for AI investments.

• Align funding plans, workforce capacity, delivery commitments, and expected outcomes across the portfolio.

• Monitor portfolio financial performance and recommend actions to improve investment efficiency, forecast accuracy, and value realization.

• Produce monthly, quarterly, and annual insights covering budget versus actuals, forecast accuracy, investment utilization, capacity utilization, cost optimization, and realized value.

• Provide workforce and labor strategy analysis, including associate and contractor mix, onshore and offshore sourcing, capacity forecasts, and hiring and ramp assumptions.

Demand, Prioritization, and Capacity Management

• Establish and operate consistent methods to intake, assess, prioritize, and govern Enterprise AI demand.

• Facilitate prioritization decisions using agreed criteria for value, risk, strategic alignment, readiness, dependencies, funding, and capacity.

• Balance demand against available funding, workforce capacity, platform constraints, and delivery sequencing.

• Reassess portfolio alignment as business priorities, enterprise strategies, AI capabilities, and delivery conditions change.

• Create decision-support tools and recommendations for investment tradeoffs, sequencing, deferral, acceleration, and portfolio optimization.

Portfolio Governance and Executive Reporting

• Serve as the primary liaison and subject-matter expert between Enterprise AI and IT Portfolio Management.

• Represent Enterprise AI in annual planning, demand management, funding governance, and portfolio review processes.

• Develop executive dashboards, portfolio scorecards, decision materials, and concise narratives for senior leadership.

• Facilitate recurring portfolio reviews with Enterprise AI leadership and key stakeholders.

• Provide executive-level insights on portfolio health, delivery performance, financial performance, resource utilization, strategic alignment, and business value realization.

• Promote accountability through measurable outcomes, clear decision rights, disciplined follow-through, and transparent reporting.

Delivery and Value Realization Oversight

• Monitor delivery performance across AI platform, capability, and product portfolios without assuming direct product ownership or delivery-team management.

• Assess portfolio health across financial, operational, delivery, adoption, risk, and business-value dimensions.

• Identify execution bottlenecks, dependency conflicts, and emerging risks, and recommend mitigation paths to accountable leaders.

• Establish metrics and KPIs that connect investments to measurable business outcomes.

• Partner with product and platform leaders to evaluate realization of expected value and benefits.

• Ensure executive stakeholders receive accurate, timely, decision-ready information.

Enterprise Influence and Advisory Leadership

• Operate as a trusted advisor to Enterprise AI leaders on portfolio choices, investment tradeoffs, governance, and operating priorities.

• Lead complex cross-functional work through expertise, facilitation, structured problem solving, and influence rather than formal authority.

• Create standards, playbooks, templates, and reusable methods that raise portfolio-management capability across Enterprise AI.

• Coach and advise partners on portfolio management, investment planning, business cases, value realization, and executive communication without direct people-management accountability.

• Build durable partnerships across Enterprise AI, Technology, Finance, Product Management, Architecture, IT Portfolio Management, and business organizations.

• Model accountability, transparency, sound judgment, operational excellence, and continuous improvement.

Use your skills to make an impact

Required Qualifications

• Bachelor's degree or equivalent work experience

• 7 or more years of experience in portfolio management, program management, technology strategy, technology finance, product operations, management consulting, or a related discipline

• Demonstrated experience managing or governing complex technology investment portfolios

• Deep experience with financial planning, forecasting, budgeting, business cases, and investment governance

• Experience developing recommendations and decision materials for executive-level governance forums

• Advanced analytical, problem-solving, facilitation, and organizational skills

• Exceptional executive communication and presentation abilities

• Ability to independently lead complex, ambiguous work across multiple stakeholder groups without direct authority

• Ability to manage multiple priorities in a dynamic enterprise environment

• Commitment to advancing AI-driven business transformation and improving consumer experiences

Preferred Qualifications

• Experience supporting Artificial Intelligence, Data, Analytics, Digital, or Technology organizations

• Lean Portfolio Management experience

• SAFe Agile, PMP, Finance, or Organizational Change Management certification or training

• Expertise in workforce planning, demand management, and capacity planning

• Experience establishing portfolio governance functions, decision frameworks, and operating models

• Strong understanding of AI product development, AI platforms, cloud technologies, and enterprise transformation programs

• Experience translating technical, financial, and delivery information into enterprise investment recommendations

• Demonstrated success leading highly visible enterprise initiatives with executive exposure through influence rather than direct people leadership

Work Style: This position follows a hybrid work schedule, requiring employees to work three days per week in the office and the remaining days remotely. Qualified candidates must currently reside within, or be willing to relocate to, a commutable distance from one of the talent markets listed below.

Office Location Options:

• Louisville, KY
• Chicago, IL

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About Us

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Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.