O

Oracle

Builds databases, business apps and cloud services

Lead Principal Product Manager - Central Data Analytics

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeNashville, TN, USAIn-person

About the Job

Requirements

  • At least 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.
  • 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.

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.

Desired 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.

About the Company

Oracle

Builds databases, business apps and cloud services

Oracle builds databases, business applications, and cloud infrastructure for companies and public-sector organizations. Oracle Database stores and processes business data, while Oracle Cloud Infrastructure provides computing, storage, and networking for applications and AI workloads. Fusion Cloud Applications support finance, human resources, supply chains, and customer service, helping businesses manage everyday operations and reporting. Customers pay for cloud subscriptions and usage, software licenses, support, hardware, and consulting, with deployment options in Oracle's cloud or their own data centers. Oracle was founded in 1977 and is headquartered in Austin, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Austin, TX
Founded
1977

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