Lead Principal Product Manager, Central Data Analytics

Oracle

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Nashville, TN
Salary: $119,200–$264,100 / yr
Posted: 20 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $203k

This role $192k

$102k $281k

below market most similar roles pay here above market

This role pays less than 63% of similar roles. Most pay $176,450–$230,200 — the blue band above. At the midpoint, this role pays about $192k versus about $203k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 905 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 736 roles with salary data.

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At a glance

TL;DR · Lead Principal Product Manager, Central Data Analytics

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The Lead Principal Product Manager, Central Data Analytics is a senior individual contributor role within the Central Data Analytics team. You will shape AI-powered analytics products, platforms, and tools for internal teams, turning complex infrastructure data into trusted insights. Your primary responsibilities include defining the product strategy and roadmap, prioritizing investments based on business impact and technical feasibility, and driving self-service adoption. You will partner with engineering, operations, and planning teams to manage data definitions, quality, lineage, and governance. The role requires expertise in cloud infrastructure, capacity planning, data modeling, and data engineering. You must translate complex concepts for executive audiences while guiding products from discovery through iterative delivery. This position solves the challenge of creating a trusted data foundation for Compute, Storage, Networking, and Data Center organizations.

Skills

Oracle Cloud Infrastructure (OCI) AI Data Analytics Cloud Infrastructure Data Modeling Data Engineering Capacity Planning Self-Service Reporting Data Platforms

What you'll do

Define and evolve the strategy and roadmap for internal analytics products and AI-powered tools.
Translate high-value problems from engineering and operations into clear product requirements.
Drive product adoption by defining success metrics and monitoring user engagement and feedback.
Prioritize investments based on user needs, business impact, and technical feasibility.
Guide products from discovery through iterative delivery and adoption with engineering teams.
Establish a trusted data platform by aligning stakeholders on data definitions, quality, and governance.
Identify opportunities to use AI to make analytics more accessible and actionable.
Communicate product direction, decisions, and tradeoffs to both technical teams and executive leaders.

What we're looking for

Must have 10+ years of relevant experience in product management, enterprise technology, analytics, cloud infrastructure, or a related field.
Must have proven experience owning strategy and roadmaps for technically complex products or platforms.
Must be able to work with technical experts and translate complex concepts into clear recommendations for executive audiences.
Must have experience leading cross-functional initiatives through influence and making sound decisions amid ambiguity.
Must possess strong analytical skills using evidence and user feedback to prioritize work and measure results.
Must have excellent written, verbal, and presentation skills.
Experience with data platforms, analytics products, self-service reporting, or AI-powered tools (preferred).
Familiarity with cloud infrastructure, capacity planning, or large-scale operations (preferred).

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