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Oracle

Lead Principal Program Manager

Nashville, TN, United States

$114,600 to $234,600 USD / year

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Job details

Pay: $114,600 to $234,600 USD / year
Apply by: May 2, 2027
Posting language: English
Posted: Nov 3, 2026

Original job description

Oracle Cloud Infrastructure (OCI) is seeking a Lead Principal Technical Program Manager to lead cross-functional analytics programs that turn complex business questions into critical insights, executive decisions, and measurable business results. Within the Business Operations and Central Programs team, you will shape the analytics agenda for high-priority business challenges and lead programs from problem definition through technical delivery, adoption, and outcome measurement.

Your portfolio will span capital expenditure management, revenue operations, cost optimization, and strategic programs, with scope evolving as business priorities change. You will connect financial, commercial, and operational data to explain business performance, anticipate risks, and guide investment and execution across OCI.

What you will lead

Capital expenditure management. Partner with Finance, Infrastructure, and Capacity teams to improve visibility into capital plans, commitments, spend, deployment, and asset utilization. Lead analytics that inform investment prioritization, explain variances, and assess capacity and return on investment tradeoffs.
Revenue operations. Bring together Sales, Finance, Product, and Operations to analyze customer demand, consumption, revenue performance, and growth opportunities. Identify constraints across the customer lifecycle and translate findings into actions that improve forecasting and business execution.
Cost optimization. Lead programs that expose cost drivers, unit economics, and efficiency opportunities. Align owners on prioritized interventions and validate realized savings with Finance while accounting for service performance and customer impact.
Strategic programs. Develop business cases, scenarios, and performance measures for emerging priorities, including regional growth, portfolio investments, and operating model improvements. Guide leaders through tradeoffs and track whether initiatives deliver their intended value.

How you will drive results

Set the analytics program strategy. Translate ambiguous executive priorities into a portfolio of decision-focused programs. Define the business questions, hypotheses, success measures, scope, and roadmap; prioritize work by business impact and feasibility.
Lead cross-functional execution. Establish shared accountability across Finance, Engineering, Data Science, Business Intelligence, Product, Sales, and Operations. Align sponsors and delivery teams on milestones, dependencies, resources, and decision rights; resolve blockers and escalate material risks.

How you will drive results continued

Provide technical and analytical leadership. Translate business needs into data and system requirements. Partner with engineering and analytics teams on data integration, models, analytical methods, and scalable tools. Use exploratory analysis and prototypes when needed to validate assumptions and accelerate delivery.
Build trust in the numbers. Establish common KPI definitions, accountable data owners, and controls for data quality, lineage, access, and reconciliation. Ensure analyses distinguish facts, assumptions, and uncertainty, and that financial impact is measured consistently.
Influence executive decisions. Synthesize complex findings into a clear explanation of what is happening, why it matters, and what action to take. Present recommendations, scenarios, and tradeoffs to senior leaders, secure decisions, and align stakeholders around execution.
Carry insights through to impact. Embed analytics into planning and operating reviews, assign action owners, and track adoption and results against agreed baselines. Partner with teams to move successful prototypes into supported solutions and refine programs as evidence changes.
Raise the standard across teams. Establish reusable program practices and analytical frameworks, mentor program and analytics leaders, and improve how OCI identifies opportunities, makes decisions, and measures business value.

Required qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Technology, Business Administration, or a related field, or equivalent practical experience.
7+ years of experience in technical program management, business analytics, business operations, or a related discipline, with demonstrated leadership of complex programs spanning multiple functions and senior stakeholders.
A record of independently shaping ambiguous business problems into enterprise-scale programs, influencing priorities without direct authority, and delivering measurable financial or operational outcomes.
Strong business and financial acumen, including experience connecting operational performance to investment decisions, revenue, costs, and business cases.
Technical fluency in data modeling, analytical methods, BI platforms, and data pipelines, with the ability to challenge assumptions and partner effectively with engineering and analytics teams.
Experience managing program roadmaps, dependencies, risks, and delivery across technical and business teams, including analytics or software development lifecycles.
Excellent written and verbal communication, executive judgment, and negotiation skills; ability to explain complex analysis and lead decisions with technical and nontechnical audiences.

Preferred qualifications

Experience in cloud infrastructure, data center economics, capacity planning, or infrastructure investment and utilization.
Experience leading analytics programs in one or more of capital expenditure management, revenue operations, cost optimization, or enterprise strategic initiatives.
Experience establishing shared business metrics and data governance, applying forecasting or scenario analysis, and scaling analytical solutions across an organization.

Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $114,600 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:

Medical, dental, and vision insurance, including expert medical opinion
Short term disability and long term disability
Life insurance and AD&D
Supplemental life insurance (Employee/Spouse/Child)
Health care and dependent care Flexible Spending Accounts
Pre-tax commuter and parking benefits
401(k) Savings and Investment Plan with company match
Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
11 paid holidays
Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
Paid parental leave
Adoption assistance
Employee Stock Purchase Plan
Financial planning and group legal
Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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More about this job

Skills

Oracle Cloud
Prioritization
Sales
Forecasting
Business intelligence
Leadership
Computer science
Computer technology
Program management
Financial capability
Data modelling
Software development
Communication skills
Negotiation

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