Data Platform Product Manager

Job ID: W#737 - Data Platform Product Manager- Remote

PLEASE NOTE: This is a 10 month contract to hire and needs to meet Client full-time conversion policies. Those dependent on a work permit sponsor now or anytime in the future (ie H1B, OPT, CPT, etc) do not meet Client requirements for this opening.

As a Data Platform Product Manager, you will take on more advanced tasks and contribute significantly to the strategic execution of our data platform product plans. Your role will involve deep, handson engagement with data science, engineering, and analytics teams, and increased responsibility for translating complex, dataintensive capabilities into products that meet business goals

Responsibilities:

Own the endtoend lifecycle of dataintensive products, including datasets, analytics outputs, and data services, from definition through delivery and ongoing refinement.

Translate business needs into clear data and technical requirements, priorities, and acceptance criteria for delivery teams.

Analyze complex datasets to identify patterns, risks, gaps, and opportunities that inform platformlevel priorities and product decisions.

Support and contribute to product planning and strategy sessions, including data platform and analytics initiatives.

Develop and maintain comprehensive product documentation, including data flows, dependencies, and assumptions where applicable.

Facilitate collaboration across departments and with external stakeholders, particularly with technical and analytics teams.

Aid in creating and adjusting the product roadmap based on market insights and datadriven findings.

Provide insights and recommendations during product lifecycle meetings, grounded in data analysis and platform performance.

Requirements:

Effective Communication: Proficient in conveying complex ideas and technical concepts to both technical and nontechnical audiences.

Analytical Expertise: Strong ability to interpret complex datasets and translate insights into product decisions.

Project Management: Ability to manage and lead smaller initiatives within technical or datafocused product areas.

Collaboration: Strong skills to work with diverse, crossfunctional teams, including engineering, data, and analytics partners.

Technical Proficiency: Comfort working with dataintensive systems, analytics platforms, or technical product environments.

Strategic Thinking: Ability to think strategically about product planning, particularly for platforms and datadriven capabilities.

ProblemSolving: Enhanced problemsolving capabilities in complex, datarich product contexts.