Data Product Manager: Enterprise Data & AI Enablement

Members 1st Partnership; Enola (PA); On-site; USD 74,000 - 90,000; Full time

Job summary

Members 1st is seeking a Technical Product Manager for Data Products to lead enterprise data capabilities from vision through delivery. You will partner with data engineering, analytics, governance, and business teams to translate strategic priorities into trusted, scalable data products that drive decision making and AI-driven outcomes.

You will establish product roadmaps, adoption plans, and success metrics while promoting data governance, quality, and reuse across the organization.

Qualifications

• Proven track record defining roadmaps and delivering measurable outcomes.
• Excellent stakeholder management and communication.
• Fluency in modern data architectures, APIs, cloud platforms, and analytics ecosystems.
• Ability translate complex business problems into scalable data products.
• Experience defining product success metrics and driving adoption strategies.
• Strong analytical, decision-making, and problem-solving skills.

Responsibilities

• Owns roadmap, adoption, value realization, and lifecycle management of enterprise data products.
• Collaborates with business, analytics, governance, and engineering teams to deliver scalable data capabilities.
• Defines product vision, backlog priorities, and success metrics.
• Promotes data governance, quality, lineage, and reusability across the organization.
• Establishes KPIs and tracks product impact on adoption and revenue enablement.
• Leads stakeholder engagement and change management to maximize value of data products.

Skills

Roadmaps

Backlog management

Stakeholder mgmt

Technical fluency

Data architectures

APIs & cloud

Analytics ecosystems

Requirements translation

Adoption strategies

Problem-solving

Job description

Members 1st is seeking a Technical Product Manager for Data Products to lead enterprise data capabilities from vision through delivery. You will partner with data engineering, analytics, governance, and business teams to translate strategic priorities into trusted, scalable data products that drive decision making and AI-driven outcomes.

You will establish product roadmaps, adoption plans, and success metrics while promoting data governance, quality, and reuse across the organization.