Data Product Manager leading a portfolio of banking data products and collaborating with cross-functional teams for agile delivery. Advocating for data governance and compliance in product strategy.
Responsibilities
Own end-to-end lifecycle of assigned data products, including vision, strategy, roadmap, and delivery.
Collaborate with business units, analytics teams, and technology partners to prioritize features and enhancements.
Define and track key product success metrics and adoption KPIs.
Advocate for data products across the organization, ensuring alignment with enterprise data governance and cloud/data strategy initiatives.
Act as the primary liaison between business stakeholders and data engineering/analytics teams.
Gather and translate business requirements into actionable data product specifications.
Facilitate cross-functional collaboration to resolve trade-offs and dependencies.
Ensure data products comply with regulatory, security, and privacy requirements.
Define and enforce data quality standards, lineage, and observability metrics.
Collaborate with Data Governance, Risk, and IT Security teams to maintain compliance and audit readiness.
Understand and leverage modern data technologies (e.g., relational databases, data warehouses, data lakes, ETL pipelines, cloud platforms, APIs, BI tools).
Collaborate with data engineering teams on architecture, modeling, and platform decisions.
Evaluate emerging technologies and recommend innovations to improve data products and processes.
Drive delivery of data products using agile methodologies.
Prioritize backlog, manage sprints, and ensure timely delivery of features.
Monitor and measure product performance, adoption, and business impact.
Contribute to the overall data product management framework and best practices within the bank.
Promote a culture of data-driven decision-making and product-centric thinking.
Requirements
8+ years of experience in data product management, data strategy, or analytics roles; experience in banking/financial services preferred.
Strong understanding of core banking products (e.g., deposits, loans, payments) and associated operational data flows.
Solid knowledge of data architecture, warehousing, BI, analytics, and cloud platforms.
Proven ability to manage multiple data products simultaneously.
Excellent communication, stakeholder management, and leadership skills.
Experience with Agile/Scrum methodologies and data governance frameworks.
Bachelor’s degree in Computer Science, Information Systems, Finance, or related field; advanced degree preferred.
Hands-on experience with HiveQL, SQL, Tableau
Understanding of regulatory reporting requirements (e.g., CCAR, FR Y-14, Basel).
Exposure to semantic layers, or enterprise data product management frameworks.
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