Technical Program Manager - Software Compliance and Program Budgeting

Technical Program Manager - Software Compliance and Program Budgeting

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 :

AI Governance & Compliance Leadership

- Lead enterprise AI governance and compliance programs across AI, Machine Learning, Generative AI, and software engineering initiatives.
- Establish and operationalize AI governance frameworks covering model lifecycle management, Responsible AI, model risk management, explainability, transparency, and compliance requirements.
- Drive adoption of AI governance controls across engineering and data science organizations.
- Collaborate with executive stakeholders to align AI innovation goals with compliance and risk management objectives.

Software & Open-Source Compliance

- Lead software compliance initiatives across product portfolios and engineering organizations.
- Ensure compliance with open-source licensing requirements, software supply chain policies, and third-party software governance standards.
- Partner with legal and engineering teams to review and remediate software compliance risks.

AI/ML Lifecycle Governance

- Partner with AI engineers, data scientists, and architects to govern the end-to-end AI/ML lifecycle.
- Ensure compliance checkpoints are integrated throughout data collection, model development, training, validation, deployment, monitoring, and retirement processes.
- Establish governance processes for model documentation, reproducibility, auditability, and explainability.
- Drive implementation of model performance monitoring and drift management strategies.

Responsible AI & Risk Management

- Facilitate Responsible AI assessments for AI-powered products and solutions.
- Identify and manage AI-specific risks including model bias, fairness, transparency, explainability, privacy, hallucinations, and security concerns.
- Partner with legal, privacy, ethics, and security teams to establish controls that meet internal and external regulatory requirements.
- Develop mitigation plans and track remediation of identified risks.

Regulatory & Audit Readiness

- Drive readiness for internal and external audits involving software governance and AI systems.
- Maintain compliance evidence, documentation, audit trails, and governance records.
- Coordinate responses to audit findings and drive corrective action plans.
- Support compliance with emerging AI regulations and industry standards.

Cross-Functional Program Management

- Manage complex programs involving engineering, product management, AI research, data science, legal, security, and compliance stakeholders.
- Establish program roadmaps, milestones, governance cadences, and executive reporting.
- Lead strategic planning sessions, steering committees, and business reviews.
- Manage risks, dependencies, and organizational change associated with AI and software governance initiatives.

Metrics, Analytics & Reporting

- Define and track key compliance and governance metrics.
- Build executive dashboards that provide visibility into compliance posture, model inventory, risk exposure, remediation status, and operational health.
- Present strategic recommendations and compliance insights to senior leadership.

- Measure adoption and effectiveness of AI governance initiatives.

What you need to bring :

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Information Systems, Business, or related field.
- 8+ years of experience in Technical Program Management, Software Engineering Operations, Compliance and Governance.
- Experience managing large-scale, cross-functional software or digital transformation programs.
- Strong understanding of Software Development Lifecycle (SDLC), Agile methodologies, DevSecOps, and cloud-based software delivery.
- Demonstrated experience working with executive stakeholders and engineering leadership teams.

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:

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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.

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