Data Product Manager

The Value Maximizer; Austin (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A financial services firm in Austin, Texas, is looking for a Data Product Manager to oversee a portfolio of enterprise data products. The successful candidate will lead the product lifecycle, ensuring data products meet business needs while complying with operational standards. Candidates should have over 8 years of relevant experience in data management and a solid grasp of core banking operations. This position fosters collaboration with various teams and promotes data-driven decisions throughout the organization.

Qualifications

• 8+ years of experience in data product management, data strategy, or analytics roles.
• Strong understanding of core banking products and operational data flows.
• Excellent communication and leadership skills.

Responsibilities

• Own end-to-end lifecycle of assigned data products.
• Collaborate with business units and analytics teams to prioritize features.
• Define and track key product success metrics.

Skills

Data governance

Analytics

Stakeholder management

Agile/Scrum methodologies

Education

Bachelor's degree in Computer Science, Information Systems, Finance, or related field

Tools

HiveQL

SQL

Tableau

Job description

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

• 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

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