Data Product Manager

abra • Wheaton, IL

8d

About The Position

abra professional services is seeking an experienced Data Product Manager to lead end-to-end data-driven products and solutions. The role is responsible for defining product strategy and roadmaps, translating business needs into product requirements, managing priorities and backlogs, and coordinating with business stakeholders and technology teams. The Data Product Manager also monitors product performance, uses data-driven insights to improve products, promotes innovation and automation, and leads solution implementation and adoption among end users.

Requirements

• Bachelor’s degree in Information Systems, Industrial Engineering and Management, Computer Science, Economics, or a related field.
• 3–5 years of experience in technology and/or data product management.
• Proven experience leading complex products end-to-end.
• Experience working with a wide range of business and technology stakeholders.
• Ability to define and write business and functional requirements.
• Understanding of Data, BI, Analytics, and information architecture.
• Experience working in an Agile environment.
• Strong analytical skills and a data-driven mindset.

Nice To Haves

• Significant experience in the mortgage domain, including leading products, processes, or business solutions, and a deep understanding of mortgage-industry challenges, processes, and business opportunities.
• Familiarity with Data Lake, DWH, and enterprise data platforms.
• Experience working with AI and GenAI solutions.
• SQL knowledge.
• Experience leading Self-Service Analytics or Data Platform products.

Responsibilities

• Define and lead the vision, strategy, and roadmap for data and analytics products and capabilities.
• Lead end-to-end development of data-driven products and processes.
• Identify business needs and translate them into clear, actionable product requirements.
• Manage the backlog, prioritize tasks, and drive product decision-making.
• Collaborate with business units, Development, Data Engineering, BI, Analytics, and Information Security teams.
• Monitor product performance and use data-driven insights for continuous improvement.
• Promote innovation, automation, and advanced use of organizational data assets.
• Lead implementation and adoption of solutions and products among end users.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level