Job Description
Job Description
- Industry/ Organization Type: Information Technology Consulting
- Position Title: Product Manager (Esp Data & AI Platform)
- Working Location: Pasir Panjang
- Working Hours: 5 days, Mon – Fri (8:30 AM – 6:00 PM, Fri 8:30 AM - 5:30 PM)
- Salary Package: Basic Salary + Completion Bonus
- Duration: 1 year contract (renewable)
Key Responsibilities
- Define and communicate the product vision and strategy for the enterprise data hub, aligned with user needs and business goals.
- Manage the data hub as a product platform, balancing the needs of data producers, users, analytics, and AI use cases.
- Conduct user research, interviews, and testing, and analyse data and feedback to identify problems and guide product decisions.
- Translate product strategy into clear requirements, user stories, and acceptance criteria.
- Identify and manage risks across the product lifecycle, including data, security, AI, and operations.
- Prioritise and maintain the product backlog to deliver high-impact data and AI features.
- Collaborate with engineering, design, project teams, data owners, and policy teams, and communicate updates to stakeholders.
- Plan and support product launches, monitor performance, and improve based on results.
- Define success metrics, data requirements, and reporting methods to track outcomes.
- Work with data owners to ensure data quality, governance, access control, and proper usage.
- Identify and assess AI opportunities, evaluate feasibility and risks, and translate them into clear use cases.
- Ensure AI features are practical for daily use, including monitoring performance and supporting adoption through training and communication.
- Any ad hoc duties assigned
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- Minimum 7 years of experience in product management.
- Strong analytical skills and ability to use data for decision-making.
- Experience working with cross-functional teams and aligning stakeholders.
- Experience managing product lifecycle and go-to-market activities.
- Good technical understanding to work with engineering teams on requirements and constraints.
- Strong communication and stakeholder management skills.
- Experience with data platforms (e.g. data lakes, warehouses, APIs, pipelines).
- Experience with data or AI-related products, including understanding risks and implementation.
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