Data Product Manager

QodePennsylvania, PA
1d

About The Position

We are seeking a Data Product Manager to lead and manage a portfolio of 3–5 enterprise data products. This role is ideal for someone with deep experience in data technologies, data governance, and analytics, combined with a strong understanding of core banking processes. You will serve as the strategic owner of data products, ensuring they meet business needs, drive insights, and support compliance and operational excellence. As a senior leader, you will work closely with business stakeholders, data engineers, data architects, and analytics teams to deliver high-quality, governed, and scalable data products. You will also help define the vision, roadmap, and lifecycle management of these products in alignment with the bank’s enterprise data strategy.

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.

Nice To Haves

  • 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.

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.
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