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Product Manager

Hybrid in San Francisco, CA, US • Posted 19 hours ago • Updated 19 hours ago

Contract Independent

Contract W2

12 Months

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Roadmaps
Databricks
Design Of Experiments
Documentation
KPI
Management
Communication
Data Analysis
Data Governance
Data Modeling
Analytics
Artificial Intelligence
Business Intelligence
Cloud Computing
Supply Chain Management
User Stories
Reporting
Sourcing
Agile
Data Quality
JIRA
Product Management
Productivity
Retail
Stakeholder Management
Tableau

Summary

Position: Sr. Product Manager – Enterprise Data & Reporting

Location: San Francisco, CA (Hybrid – Onsite)

Duration: Contract

Rate: DOE

Key Responsibilities

Own the product roadmap and lifecycle for Supply Chain reporting and analytics platforms.
Gather, prioritize, and translate business requirements into product specifications and Jira user stories.
Partner with Engineering, Data, Analytics, and Supply Chain teams to deliver scalable reporting solutions.
Define KPIs and success metrics to measure product adoption and business value.
Drive data governance, documentation, and data quality initiatives.
Promote AI-enabled analytics and self-service reporting capabilities across business teams.
Evaluate and implement modern AI-powered analytics solutions including Databricks Genie, ThoughtSpot Spotter, Copilot, and Claude.
Translate reporting requirements into Tableau and ThoughtSpot engineering specifications.
Establish scalable product management processes, templates, and best practices.

Required Skills & Experience

8+ years of Product Management experience, preferably in Enterprise Data, Analytics, or Reporting platforms.
Strong experience managing data products, BI/reporting solutions, and analytics initiatives.
Experience working with Tableau, ThoughtSpot, Databricks, Jira, and modern cloud data platforms.
Solid understanding of data modeling, reporting architecture, and data governance principles.
Experience partnering with engineering teams using Agile methodologies.
Exposure to AI-powered productivity and analytics tools such as Copilot, Claude, Databricks Genie, or similar technologies.
Excellent stakeholder management, communication, and roadmap planning skills.
Experience supporting Supply Chain, Retail, or Enterprise Analytics domains is highly preferred.

Please prioritize sourcing candidates with strong Product Management experience in enterprise data and analytics platforms, along with exposure to AI-enabled reporting and modern BI technologies.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10398358
Position Id: 9020357
Posted 19 hours ago

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