Product Manager, Data Products
Washington, DC, 94133
Apply now: Product Manager, Data Products, location is Remote. The start date is March 2 (ideal) / March 9 (latest) for this 3-month contract-to-hire position.
Job Title: Product Manager, Data Products
Location-Type: 100% Remote
Start Date Is: ASAP (March 2nd or March 9th is ideal)
Duration: Contract to Hire (3 Months)
Eligible Work Authorization Status: US-Citizen or Green Card
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W2 Pay Rate Range (while on contract) : $65/hr - $80/hr
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Annual Base Salary Range (when converted to Direct Hire/FTE) : $150k - $175k
Job Description:
The Product Manager, Data Products will lead end-to-end data product strategy and delivery, partnering with executive stakeholders to design and implement high-impact data and AI solutions that drive measurable business outcomes.
Day-to-Day Responsibilities:
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Lead daily stand-ups (9am EST) and manage 2-week sprint cycles with clear deliverables
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Partner with client stakeholders 2x/week to align on objectives, progress, and outcomes
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Translate business problems into data product strategies and actionable roadmaps
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Drive commercial product rollouts, focusing on reducing friction and increasing conversions
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Guide cross-functional teams (data engineers, data scientists, analysts) through execution
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Facilitate post-client debriefs and internal alignment sessions
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Present insights, recommendations, and product updates to non-technical executives
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Ensure solutions align with best practices in data architecture, governance, and scalability
Requirements:
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Must-Have Skills/Experiences:
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7 years of overall experience; 3–5 years in relevant data-driven product roles
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Proven experience leading commercial product development and rollout initiatives
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Strong background in data transformation initiatives and large-scale data products
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Experience leading cross-functional technical teams in agile environments
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Demonstrated ability to reduce friction and increase conversion through product strategy
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Executive-facing experience with strong storytelling and stakeholder management skills
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Hands-on familiarity with modern data platforms (e.g., Azure, Fabric, Databricks, Snowflake, AWS)
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Experience in financial services and/or healthcare industries
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Nice-to-Haves Skills/Experiences:
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AI/ML product exposure
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Background in consulting firms with implementation focus
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Experience from large-scale tech or enterprise organizations
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