Senior Associate Data Product Management

What you'll do

• Translate user needs into well-defined scope, user stories, and acceptance criteria for data product increments.
• Partner with engineers to shape logical/physical data models, source-to-target mappings, and metadata documentation.
• Manage the product backlog, sprint planning, and day-to-day delivery coordination to mitigate risks and dependencies.
• Execute testing activities including data validation, reconciliation checks, regression testing, and defect triage.
• Establish production readiness by implementing monitoring for data quality, freshness, and pipeline health.
• Develop consumption-ready interfaces such as curated tables, views, or APIs with appropriate security controls.
• Produce runbooks, release notes, and data dictionaries to support user adoption and lifecycle improvements.

What we're looking for

• 5+ years of experience in data product management, data governance, financial data delivery, or related roles in a regulated industry.
• Strong SQL proficiency for working with large datasets, including complex queries, joins, aggregations, and window functions.
• Practical knowledge of relational and dimensional data modeling, ETL/ELT patterns, metadata, and lineage.
• Familiarity with scripting languages like Python for data analysis, automation, validation, and profiling.
• Experience in Agile delivery, including writing user stories, defining acceptance criteria, and managing sprint cycles.
• Working knowledge of version control, ticketing tools, and modern data pipeline concepts.
• Exposure to Finance, Financial Control, Risk, or Treasury domains (preferred).
• Knowledge of cloud/lakehouse platforms, data governance practices, and advanced analytics readiness (preferred).