Technical Product Manager - Data Products

Members 1st Federal Credit Union•Enola, PA

About The Position

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.

Requirements

3-5 years of related experience
Strong product management mindset with experience defining roadmaps, prioritizing backlogs, and delivering measurable business outcomes
Excellent stakeholder management, communication, and influencing skills
Technical fluency in modern data architectures, APIs, semantic models, cloud platforms, analytics ecosystems, and data engineering practices
Skilled in iterative development methodologies and creation of key artifacts including business objectives and requirements
Ability to translate complex business problems into scalable data product capabilities
Experience defining product success metrics and driving adoption strategies
Strong analytical, decision-making, and problem-solving skills
Accountability and self-management
Communication
Effective knowledge
Innovation and problem-solving
Teamwork and leadership

Responsibilities

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 domains.
This role serves as the bridge between business strategy and data capabilities, ensuring data products deliver meaningful insights, support operational excellence, and enable data-driven decision-making throughout the organization.