Data Product Manager
Indexed description
You will work closely with stakeholders across business, data engineering, analytics, and IT to define product vision, prioritize initiatives, and ensure data products deliver measurable value.
Key Responsibilities
- Own the end-to-end lifecycle of data products, including regulatory, risk, and business intelligence use cases
- Define and manage the data product roadmap, balancing business priorities, regulatory obligations, and technical constraints
- Partner with stakeholders across Trading, Risk, Marketing, Sales, Compliance, Finance, Operations, and Technology to identify and prioritize data needs
- Translate regulatory and business requirements into clear product requirements, user stories, and acceptance criteria
- Collaborate with data engineering and analytics teams to ensure data accuracy, lineage, quality, and auditability
- Drive prioritization decisions with a strong focus on risk, cost control, and business impact
- Monitor data product performance, usage, and data quality KPIs, and continuously optimize delivery
- Ensure compliance with data governance, security, and regulatory requirements
- Act as the primary point of contact for stakeholders on data product initiatives and delivery status
- 5+ years of experience as a Data Product Manager, Product Manager, Business Analyst, or similar role focused on data or analytics
- Strong understanding of data platforms, data pipelines, BI tools, and analytics workflows
- Experience working with cross-functional teams including data engineers, analysts, and software engineers
- Solid knowledge of SQL and familiarity with data modeling concepts
- Proven ability to translate business needs into actionable data requirements
- Experience with Agile/Scrum methodologies and product management best practices
- Excellent communication and stakeholder management skills
- Experience with regulatory reporting, risk data, AML, KYC, or trading-related data products
- Experience with cloud data platforms (e.g., AWS, GCP, Azure)
- Familiarity with modern BI tools (e.g., Tableau, Power BI, Looker)
- Background in data governance, privacy, or regulatory reporting
- Experience in data-driven organizations or platform-scale products
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