Digital Transformation Program Manager – Data Governance
Hewlett Packard Enterprise
- Location
- Singapore, Central Singapore, Singapore
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 167 approvals (FY2023)
- Posted
- 1h ago
About this role
Digital Transformation Program Manager – Data Governance This role has been designated as ‘Remote/Teleworker’, which means you will primarily work from home.
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
We are looking for an experienced Digital Transformation Program Manager to lead data governance initiatives across Global Operations. This role is suited for a proven professional with manufacturing or operations industry experience, strong data governance knowledge, and the ability to deliver enterprise-level programs from discovery through implementation and closure. The individual will establish, develop, and optimize data governance frameworks, policies, processes, standards, and supporting business solutions to strengthen data quality, consistency, accountability, and usability across the organization. The role requires close partnership with the Chief Data Officer organization, IT, manufacturing and operations functions, and business stakeholders to define practical governance models and implement scalable solutions that support business transformation. The ideal candidate is comfortable working across multiple functions, managing ambiguity, influencing senior stakeholders, and communicating complex data governance topics clearly to both technical and business audiences. Lead data governance and digital transformation initiatives from discovery, requirements definition, solution design, implementation, adoption, and closure. Translate business needs into practical data governance processes, controls, tools, and operating models. Bring manufacturing, operations, supply chain, or enterprise process experience to ensure governance solutions are relevant to real business workflows. Collaborate effectively with cross-functional teams including business operations, IT, data office, analytics, and functional process owners. Engage, influence, and present confidently to senior leaders and stakeholders to drive alignment, decisions, and sustained adoption.
Key Responsibilities
Establish, operationalize, and continuously improve data governance frameworks, policies, standards, and processes across Global Operations. Lead end-to-end governance-related programs and projects, including discovery, stakeholder alignment, requirements definition, implementation planning, execution, adoption, and closure. Partner with business functions, IT, Chief Data Officer teams, analytics teams, and process owners to define scalable governance solutions that support operational and digital transformation priorities. Support business units in identifying and managing critical data elements, data ownership, data quality rules, metadata, business glossary, data lineage, and data catalogue requirements. Drive governance implementation across manufacturing, operations, supply chain, or enterprise process environments, ensuring solutions are practical, sustainable, and aligned with business workflows. Provide expert consultation to functional teams on data governance policy, standards, controls, and implementation approaches. Identify opportunities to simplify, standardize, automate, and strengthen data governance processes and controls. Define and publish data governance metrics, data quality KPIs, dashboards, and adoption measures to demonstrate business value and governance