compLogoData Product ManagerCompany: IncedoHybridPittsburgh, PA, USACleveland, OH, USADallas, TX, USA
About the Role
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.
 
Key Responsibilities
Product Ownership & Strategy
·      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.
 
Stakeholder Engagement
·      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.
 
Data Governance & Quality
·      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.
 
Technical Leadership
·      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.
 
Execution & Delivery
·      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.
 
Thought Leadership
·      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.
 
Required Qualifications
·      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.
 
Preferred Qualifications
·      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.