Technical Product Manager - Data Products
Listed on 2026-09-25
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IT/Tech
Business Systems & Technology Analysis, IT Business Analyst, AI Business & Operations, Business Intelligence -
Business
Business Systems & Technology Analysis, AI Business & Operations, Business Intelligence
Overview
When you join the Members 1st team, you become part of something much bigger than a credit union. You become part of our faM1ly—a tight-knit bunch with big dreams and even bigger values. It is an exciting time for us as we continue to grow, and we hope that you will choose to grow along with us. Wanting the absolute best for our associates means more than just competitive pay.
It means fantastic healthcare, paid benefits, opportunities for professional advancement and work-life balance - and best of all, a place where you are accepted and respected for your individuality.
The Technical Product Manager
- Data Products is responsible for the roadmap, adoption, value realization, and lifecycle management of enterprise data products in alignment with organizational priorities, business objectives, and the strategic direction established by Data & Analytics leadership.
Partnering across business, technology, analytics, governance, and engineering teams, this role defines and delivers trusted, scalable, and reusable data capabilities that enable decision-making, operational excellence, personalization, and AI-driven outcomes. The Technical Product Manager
- Data Products serves as the bridge between business strategy and data execution, translating organizational priorities into governed, high-value data products. This role is accountable for product vision, backlog prioritization, stakeholder alignment, adoption, and value realization while ensuring data products remain reliable, secure, and aligned with enterprise objectives.
- Guides the full lifecycle of enterprise data products and data capabilities from ideation through implementation, adoption, measurement, and continuous improvement.
- Owns and continuously evolves product vision, roadmaps, adoption plans, release priorities, and product success metrics.
- Partners with business stakeholders to identify data needs, define requirements, and translate complex business challenges into scalable data and analytics solutions.
- Understands and prioritizes the needs of data product consumers including Marketing, Lending, Member Service, Digital Banking, Risk, Finance, and Analytics teams.
- Conducts research and analysis to understand user needs, data trends, emerging technologies, and industry best practices to drive innovation and continuous improvement.
- Collaborates with data engineering, business intelligence, analytics, governance, and technology teams throughout design, development, testing, implementation, and enhancement efforts.
- Establishes and monitors key performance indicators (KPIs) and product success metrics to evaluate adoption, effectiveness, and business impact.
- Defines and tracks business value metrics including adoption, operational efficiency, revenue enablement, member experience improvements, and data reuse.
- Promotes data governance, accessibility, quality, discoverability, lineage, and stewardship to ensure enterprise data products remain trusted and reusable across the organization.
- Identifies opportunities to enable machine learning, generative AI, and intelligent automation through trusted and reusable enterprise data products.
- Prioritizes product backlogs and enhancement opportunities in coordination with Data & Analytics leadership, balancing enterprise priorities, stakeholder needs, resource capacity, user feedback, and measurable business outcomes.
- Leads stakeholder engagement, change management, and communication efforts to drive adoption and maximize the value of data products across the organization.
- Partners with business owners and data stewards to establish authoritative definitions, ownership, and quality standards for critical enterprise data…
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