Data Product Manager
qode.world
full-time
Posted on:
Location Type: Hybrid
Location: Pennsylvania • Ohio • Pennsylvania • United States
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About the role
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data product managementdata strategyanalyticsdata architecturedata warehousingbusiness intelligenceAgile methodologiesHiveQLSQLTableau
Soft Skills
communicationstakeholder managementleadershipcollaborationproblem-solvingprioritizationdata-driven decision-makingproduct-centric thinking