A complete application in a minute
Tailored resume and cover letter, ready to send.
Hewlett Packard Enterprise is seeking a Senior Technical Program Manager to lead AI governance, compliance, and software assurance initiatives. The role focuses on enterprise AI governance, model risk management, and cross-functional collaboration across engineering, data science, and legal teams.
The candidate will drive lifecycle governance for AI/ML across data collection, development, training, deployment, monitoring, and retirement, ensuring regulatory compliance and risk mitigation.
This role has been designed as “Onsite” with an expectation that you will primarily work from an HPE office.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #india #networking
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.
Equal Employment Opportunity is the Law - Supplement E-Verify (US & PR only)
HPE is an E-Verify employer. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm the employment eligibility of all newly hired employees. For more information click here.
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.
Please ensure the resume you submit to us does not include any sensitive personal data. Sensitive personal data includes data revealing information about your racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, health, sex life or sexual orientation. To the extent the resume you submit does contain this type of personal data, you consent to the storing and processing of this data by HPE for the purpose of reviewing and managing your application.