Data Product Manager

Jahnel Group•Schenectady, NY

29d•$100,000 - $140,000•Remote

About The Position

Jahnel Group is seeking a Data Product Manager to join one of their high-impact client teams. This role is ideal for someone with both a strategic and analytical mindset who is passionate about connecting data capabilities to meaningful user experiences. The Data Product Manager will serve as the bridge between complex data systems and impactful domain outcomes, driving end-to-end data strategy that powers personalized mobile app features.

Requirements

5+ years experience in data analytics, data science, or related field with demonstrated progression into strategic roles
3+ years leading cross-functional data initiatives involving engineers, analysts, and scientists
Experience with modern data stacks (cloud warehouses, BI tools, ETL/ELT pipelines)
Strong product thinking skills, with the ability to translate business objectives into clear data requirements and translate data insights back into actionable business outcomes.
Excellent stakeholder management and communication skills, including the ability to clearly present complex data concepts to executive audiences.
Deep knowledge of the end-to-end data lifecycle, including data collection, storage, transformation, analysis, and activation.
Ability to partner effectively with cross-functional stakeholders to align data strategy with organizational goals.
Ability to communicate insights and recommendations in a clear, compelling, and executive-ready manner.

Nice To Haves

Experience in mobile app analytics or consumer digital products preferred
Experience in one or more domains, including consumer engagement, marketing technology, and platform/B2B products preferred
Experience managing data initiatives through organizational change preferred
Knowledge of personalization engines, recommendation systems, and experimentation platforms (preferred).

Responsibilities

Translate domain product roadmaps into data requirements, identifying opportunities where data can unlock user value before engineering teams start building.
Attend product planning and "definement" sessions to represent data perspective early in the software development lifecycle (SDLC).
Maintain a domain-specific data roadmap aligned with strategic priorities.
Partner with Engineering teams to ensure foundational capabilities support domain needs.
Orchestrate team priorities to balance strategic initiatives with operational requests.
Foster deep domain expertise within the team, building institutional knowledge of domain-specific metrics, user journeys, and business logic.
Own data quality and trustworthiness for domain-specific datasets from ingestion through insight.
Collaborate with Governance & Quality teams to apply standards while adapting to domain-specific needs.
Ensure proper instrumentation, documentation, and accessibility of domain data assets.
Serve as primary data partner to product managers, engineering leads, domain leaders and executives.
Communicate data insights and opportunities in business context, connecting technical work to user outcomes.
Manage expectations and communicate tradeoffs when prioritizing data work.