Technical Program Manager – AI & Machine Learning Programs

• Lead end-to-end delivery of large-scale AI, Machine Learning, Generative AI, and Data Science programs from ideation through production deployment.
• Translate business objectives into executable program plans, roadmaps, milestones, and measurable outcomes.
• Establish governance frameworks, operating cadences, and reporting mechanisms for AI initiatives.
• Drive program execution across multiple teams while managing timelines, risks, dependencies, and resources.

• Partner with AI/ML engineers, data scientists, architects, product management, UX, and engineering teams to deliver innovative solutions.
• Facilitate alignment among technical and business stakeholders on priorities, scope, and delivery commitments.
• Lead executive reviews, steering committee meetings, and strategic planning sessions.
• Influence cross-functional teams without direct authority to achieve program goals.

• Develop and maintain AI program plans, release schedules, and portfolio dashboards.
• Ensure adherence to AI governance, compliance, security, responsible AI, and model lifecycle management practices.
• Monitor delivery health, identify risks proactively, and implement mitigation plans.
• Manage dependencies related to data availability, model training, infrastructure readiness, testing, and deployment.

• Define and track key performance indicators (KPIs), OKRs, and program success metrics.
• Measure business impact including productivity, customer experience improvements, automation benefits, model adoption, and operational efficiencies.
• Provide data-driven insights and recommendations to senior leadership.

• Drive Agile program management practices across multiple teams.
• Facilitate PI Planning, roadmap reviews, sprint execution tracking, release planning, and retrospective activities.
• Improve delivery predictability, operational excellence, and organizational maturity.
• Mentor project managers and junior program managers on best practices.

• Prepare executive-level presentations, status reports, business cases, and investment proposals.
• Communicate program progress, risks, dependencies, and strategic recommendations clearly to senior leaders.
• Serve as the primary point of coordination for complex AI initiatives spanning multiple organizations.

• Bachelor's degree in Computer Science, Engineering, Data Science, Business, Information Systems, or related discipline.
• 8+ years of experience in Program Management, Technical Program Management, Product Operations, or PMO leadership.
• 3+ years of experience supporting AI, Machine Learning, Analytics, Data Platform, or Digital Transformation initiatives.
• Proven experience managing complex cross-functional programs involving engineering, product, and business teams.
• Strong understanding of software development lifecycle (SDLC), Agile methodologies, and product delivery frameworks.
• Experience building executive dashboards, governance mechanisms, and delivery metrics.
• Demonstrated ability to influence senior stakeholders and drive decisions across organizational boundaries.
• Strong written, verbal, and presentation skills.

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

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