Deskripsi Pekerjaan
Are you a seasoned Product Manager with a passion for data-driven transformation? The Monetary Authority of Singapore (MAS) is seeking a visionary Senior Product Manager to join our high-impact Data Analytics & Engineering (DAE) team on a contract basis. In this role, you will play a pivotal part in shaping the future of financial sector infrastructure through innovative data solutions.
You will serve as the bridge between technical engineering squads and business stakeholders, translating complex requirements into actionable product roadmaps. This is an exceptional opportunity to influence policy and financial stability through cutting-edge analytics at one of the world's most respected financial regulators.
We are looking for an individual who thrives in a fast-paced environment and possesses the technical fluency to guide engineering teams while maintaining a keen focus on delivering tangible business value. If you are ready to apply your product management expertise to high-stakes financial data, we want to hear from you.
Tanggung Jawab
- Define and drive the product vision, strategy, and roadmap for DAE initiatives.
- Translate complex business requirements into clear, manageable user stories and technical specifications.
- Collaborate cross-functionally with data engineers, data scientists, and policy experts to ensure seamless product delivery.
- Lead agile ceremonies, including sprint planning, backlog grooming, and daily stand-ups to maintain development velocity.
- Monitor and analyze product performance metrics to drive iterative improvements and ensure high-quality output.
- Engage with internal and external stakeholders to manage expectations and communicate product updates effectively.
- Identify potential risks and roadblocks, implementing proactive mitigation strategies to ensure timely delivery.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Systems, Business, or a related quantitative field.
- Minimum 5-7 years of experience in product management, specifically within data-centric or analytics environments.
- Proven track record of managing end-to-end product lifecycles, from concept to deployment.
- Strong understanding of data engineering concepts, including ETL pipelines, data warehousing, and cloud platforms.
- Proficiency in Agile methodologies and tools such as Jira, Confluence, or similar management software.
- Exceptional stakeholder management and communication skills, with the ability to simplify technical concepts.
- Strong analytical mindset with the ability to interpret data and translate it into strategic product decisions.