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Lead Principal Product Manager, Data Analytics

Job in Nashville, Davidson County, Tennessee, 37247, USA
Listing for: Oracle Corporation
Full Time position
Listed on 2026-10-15
Job specializations:
  • IT/Tech
    AI Business & Operations, Business Intelligence
  • Business
    AI Business & Operations, Business Intelligence
Salary/Wage Range or Industry Benchmark: 140000 - 200000 USD Yearly USD 140000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Lead Principal Product Manager, Central Data Analytics

Oracle Cloud Infrastructure (OCI) is seeking a Lead Principal Product Manager to shape AI-powered analytics products, platforms, and tools for internal teams. You will partner with OCI leaders and engineering, operations, and planning teams to turn complex infrastructure data into trusted insights and better decisions.

The Central Data Analytics team builds the data foundation, reporting platforms, and self-service capabilities used across OCI’s Compute, Storage, Networking, and Data Center organizations. In this role, you will own product strategy and a prioritized roadmap that increase self-service adoption, strengthen trust in the data platform, and deliver business value through continuous iteration.

This is a senior individual contributor role. Success requires working closely with deeply technical subject matter experts, understanding the decisions OCI leaders need to make, and communicating clearly with both groups.

Internal Responsibilities
  • Define and evolve the strategy and roadmap for internal analytics products, platforms, and AI-powered tools.
  • Partner with engineering, operations, planning, finance, and OCI leaders to identify high-value problems and translate them into clear product requirements.
  • Drive product adoption by defining success metrics, monitoring usage and engagement, and using customer feedback and data to improve activation and retention.
  • Prioritize investments using user needs, business impact, technical feasibility, and measurable outcomes.
  • Guide products from discovery through delivery and adoption, working with engineering teams to release useful capabilities iteratively.
  • Increase self-service adoption by improving how internal users discover, understand, and use trusted data and analytics.
  • Help establish a trusted data platform by aligning stakeholders on data definitions, quality, lineage, governance, and the use of canonical datasets.
  • Identify opportunities to use AI to make analytics more accessible and actionable, while setting clear expectations for accuracy, transparency, and appropriate use.
  • Define success measures, evaluate product usage and feedback, and use what you learn to improve the roadmap.
  • Communicate product direction, decisions, progress, and tradeoffs to technical teams and executive leaders.
  • Mentor product management peers and help strengthen product practices across the team.

Qualifications

  • 10+ years of relevant experience in product management, enterprise technology, analytics, cloud infrastructure, or a closely related field.
  • Proven experience owning strategy and roadmaps for technically complex products or platforms.
  • Ability to work effectively with deeply technical experts and translate complex concepts into clear recommendations for executive audiences.
  • Experience leading cross-functional initiatives through influence and making sound decisions amid ambiguity.
  • Strong analytical skills and experience using evidence and user feedback to prioritize work and measure results.
  • Excellent written, verbal, and presentation skills.

Preferred Qualifications

  • Experience with data platforms, analytics products, self-service reporting, or AI-powered tools.
  • Familiarity with cloud infrastructure, capacity planning, or large-scale operations.
  • Hands-on experience with data platforms, data modeling, or data engineering.
External Responsibilities
  • Define and evolve the strategy and roadmap for internal analytics products, platforms, and AI-powered tools.
  • Partner with engineering, operations, planning, finance, and OCI leaders to identify high-value problems and translate them into clear product requirements.
  • Drive product adoption by defining success metrics, monitoring usage and engagement, and using customer feedback and data to improve activation and retention.
  • Prioritize…
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