Senior Data Product Manager: AI Analytics & Dashboards

CLEAResult

Athens (GA)

On-site

USD 120,000 - 160,000

Full time

5 days ago
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Benefits offered by this job

Paid vacation, sick, personal and Par
Volunteer Time
Employee Assistance Program – offers
Access to on-demand training courses

Job summary

CLEAResult is seeking a Product Manager to lead data and analytics products for enterprise clients. You will own client dashboards, reporting, and how AI features connect to the data platform, ensuring scalable, branded insights.

You'll collaborate with Data & AI, Software Engineering, and Client Delivery to ship measurable results, define KPIs, and navigate multi-product ecosystems with guardrails for accuracy and governance.

Qualifications

  • 5+ years of product management experience focusing on data, analytics or BI products.
  • Hands-on experience with the Databricks platform and collaboration with data engineering teams.
  • Track record shipping data products with measurable business results.
  • Experience in multi-product/platform environments within a larger solution.

Responsibilities

  • Own secure, multi-tenant client dashboards and value realization reporting.
  • Define how analytics connect to upstream products and the data platform.
  • Shape AI-enabled analytics and guardrails for accuracy and data access.
  • Collaborate with data engineering and platform teams on data ingestion and modeling.
  • Coordinate with product managers on data, instrumentation and sequencing.
  • Define and track KPIs like analytics adoption, self-service usage, data quality, client satisfaction.

Skills

Product management
Databricks platform
Data analytics
Cross-functional collaboration
Enterprise analytics

Tools

Databricks
Claude

Job description

CLEAResult is seeking a Product Manager to lead data and analytics products for enterprise clients. You will own client dashboards, reporting, and how AI features connect to the data platform, ensuring scalable, branded insights.

You'll collaborate with Data & AI, Software Engineering, and Client Delivery to ship measurable results, define KPIs, and navigate multi-product ecosystems with guardrails for accuracy and governance.

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