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Hewlett Packard Enterprise

Technical Program Manager – AI & Machine Learning Programs

Hewlett Packard Enterprise is hiring a Technical Program Manager – AI & Machine Learning Programs in Bengaluru, India. Level rates it ; you can apply on Hewlett Packard Enterprise.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Generative AI, Machine learning and AI safety among its tools and skills.
  • Level classes it as a senior role.
  • Hewlett Packard Enterprise has 1,600+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Technical Program Manager leading end-to-end delivery of large-scale AI, Machine Learning, and GenAI programs.

generative-aimachine-learning
ai-safetyprogram-managementai-governancecross-functional-leadership
Technical Program Manager – AI & Machine Learning Programs

  

This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. 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. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.

Job Description:

   


What you will do :


Key Responsibilities

Program Strategy & Execution

  • 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.

Cross-Functional Leadership

  • 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.

AI/ML Program Governance

  • 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.

Metrics & Business Value Realization

  • 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.

Agile Delivery & Team Enablement

  • 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.

Stakeholder Communications

  • 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.



What you need to bring :


Required Qualifications

  • 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.

Accessibility


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.

What We Can Offer You:

Health & Wellbeing

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.

Personal & Professional Development

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.

Unconditional Inclusion

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.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#india

#networking

Job:

Engineering

Job Level:

TCP_04

    

    

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

   

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

   

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

How we rate this

Technical Program Manager – AI & Machine Learning Programs at Hewlett Packard Enterprise rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyProgram ManagementAI GovernanceCross Functional LeadershipGenerative AIMachine learning

Questions you could be asked

  1. How do you think about the risk of an AI system in this kind of role failing silently?
  2. Tell me about a project where program management was part of your work. What did you do?
  3. Tell me about a project where ai governance was part of your work. What did you do?
  4. Tell me about a project where cross functional leadership was part of your work. What did you do?
  5. Walk me through how you've used Generative AI in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI Safety, Program Management, AI Governance, Cross Functional Leadership, and Generative AI. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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