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Senior Data Platform Product Manager

Ultimate Staffing United State
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

As a Senior Data Platform Product Manager, you will contribute to the strategic execution of data platform product plans. Your role will involve deep engagement with data science, engineering, and analytics teams. You will be responsible for translating complex data-intensive capabilities into products that meet business goals.

Key Highlights
Own the end-to-end lifecycle of data-intensive products
Translate business needs into clear data and technical requirements
Analyze complex datasets to identify patterns, risks, gaps, and opportunities
Key Responsibilities
Own the end-to-end lifecycle of data-intensive products
Translate business needs into clear data and technical requirements
Analyze complex datasets to identify patterns, risks, gaps, and opportunities
Technical Skills Required
Effective Communication Analytical Expertise Project Management Collaboration Technical Proficiency Strategic Thinking Problem-Solving
Benefits & Perks
$50.00/hr
100% Remote
Open to all time zones

Job Description


Product Manager - Remote

Pay Rate: $50.00/hr.

100% Remote

Open to all time zones

Potential temp-to-hire

Responsibilities - 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, hands‑on engagement with data science, engineering, and analytics teams, and increased responsibility for translating complex, data‑intensive capabilities into products that meet business goals

Responsibilities:

* Own the end‑to‑end lifecycle of data‑intensive 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 platform‑level 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 data‑driven findings.

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

Requirements (years of experience, educational background, technical skills, etc.):

Skills:

* Effective Communication: Proficient in conveying complex ideas and technical concepts to both technical and non‑technical 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 data‑focused product areas.

* Collaboration: Strong skills to work with diverse, cross‑functional teams, including engineering, data, and analytics partners.

* Technical Proficiency: Comfort working with data‑intensive systems, analytics platforms, or technical product environments.

* Strategic Thinking: Ability to think strategically about product planning, particularly for platforms and data‑driven capabilities.

* Problem‑Solving: Enhanced problem‑solving capabilities in complex, data‑rich product contexts.

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance.


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