Data Product Manager

Responsibilities:

Deliver data products that create real business value by focusing on the right problems, ensuring data is reliable and compliant, and driving adoption across the organisation. You own the full lifecycle of your products from idea through to delivery, usage, and continuous improvement.

Strategic & Vision Leadership

• Align data products with business priorities and data strategy, ensuring they support measurable outcomes
• Define and maintain a clear product vision, including expected value, success metrics, and business impact
• Lead early-stage discovery: clarify problem statements, engage users, map current processes, and assess data availability and constraints
• Evaluate options to deliver solutions (build internally, reuse existing platforms, or partner), considering cost, time, and scalability
• Prioritise initiatives based on ROI, effort, and strategic importance, not just incoming requests
• Own and maintain a product roadmap from concept through MVP to scaled rollout, ensuring each stage delivers incremental value

Product Delivery & Orchestration

• Own the product backlog, define clear requirements, and decide when features are ready for release
• Lead delivery across data engineers, analysts, BI, and other teams to ensure coordinated execution
• Manage delivery in stages (PoC → MVP → scale), with clear success criteria at each step
• Ensure all required checks are completed before release (data quality, metadata, privacy, security, documentation)
• Approve releases once standards are met and coordinate deployment and communication

Governance & Compliance

• Ensure governance is built into the product from the start, not added later
• Apply company standards for data quality, metadata, master data, privacy, security, and system integration
• Work closely with data owners, stewards, and governance teams to ensure alignment and compliance
• Define and monitor data quality targets and service levels
• Support data access decisions and participate in security and privacy reviews

Measurement & Optimization

• Define how success is measured (usage, performance, business impact)
• Track adoption, value delivered (e.g. time saved, efficiency gains), reliability, and user retention
• Monitor delivery performance (release frequency, cycle time, data quality compliance)
• Gather user feedback, prioritise improvements, and resolve issues quickly

Adoption & Enablement

• Plan and manage internal rollout of data products
• Provide clear documentation, training, and support materials
• Drive adoption through engagement with users and business teams
• Monitor usage, support requests, and adoption trends
• Maintain regular feedback loops with users to continuously improve

Stakeholder Leadership & Influence

• Align stakeholders across business and technical teams
• Communicate clearly on priorities, progress, and value delivered
• Present outcomes in a simple, business-focused way (impact, ROI, risks)
• Make final decisions on priorities and scope within agreed governance
• Collaborate across domains to deliver integrated, cross-functional data products

Job Requirements:

• 5+ years in Data Product Management, Product Management, or equivalent Data Management roles
• Proven track record delivering data products from discovery through scale
• Experience managing product roadmaps, backlogs, and cross-functional teams
• Demonstrated success in ROI-driven prioritization and stakeholder alignment

Data & Technical Literacy

• Working knowledge of data architecture (Data Lakes, Delta, Data Warehouses, ETL/ELT pipelines)
• Understanding of data governance solutions, metadata management, and data quality frameworks
• Proficiency in SQL and Python for data analysis and validation
• Hands-on experience with data visualization tools (Power BI, Tableau, Looker, or equivalent)
• Familiarity with project management tools (JIRA, Trello, Miro)
• Working knowledge of data catalog and lineage tools

Governance & Compliance

• Ability to apply and embed governance policies (metadata, data quality, MDM, privacy, security, interoperability)
• Understanding of data protection regulations (GDPR, data privacy frameworks)
• Experience with policy gates and compliance-by-design approaches

Others

• Prior exposure to GenAI and emerging data technologies
• SAFe (Scaled Agile Framework) certification
• Experience with ML lifecycle management (MLOps, model risk governance)
• DPIA (Data Protection Impact Assessment) facilitation experience
• AI governance or responsible AI frameworks knowledge
• Product marketing enablement or go-to-market strategy experience
• Comfortable with Agile/Scrum/SAFe methodologies
• Fluent written and verbal communication in English
• Executive storytelling and board-level presentation experience
• Entrepreneurial mindset with drive to innovate; comfortable working in ambiguous environments
• Ability to translate technical concepts for executives and vice versa
• Skilled at building consensus and driving change across organizations

We offer competitive salary and benefits to the right candidate. Interested parties please send your application with date of availability, present & expected salary to the Human Resources Department, Bureau Veritas Hong Kong Limited by email or via Linkedin.

Our Benefits:

• Excellent Training & Career Advancement Opportunities
• Double Pay, Performance Bonus
• 5-day Work Week
• Public Holiday, Annual Leave, Marriage Leave, Maternity Leave & Paternity Leave
• Life & Medical Insurance Benefits
• Mandatory Provident Fund Contribution
• Education & Training Subsidies

Join us on Linkedin: https://www.linkedin.com/company/bureau-veritas

Mail

Unit 702, 7/F, Harbourside HQ

8 Lam Chak Street

Kowloon Bay, Kowloon

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