Lead Principal Program Manager

Oracle•Nashville, TN

About The Position

Oracle Cloud Infrastructure (OCI) is seeking a Lead Principal Technical Program Manager for its Business Operations and Central Programs team. The role leads cross-functional analytics programs that turn complex business questions into critical insights, executive decisions, and measurable business results. The position shapes the analytics agenda for high-priority business challenges and leads programs from problem definition through technical delivery, adoption, and outcome measurement. The portfolio may span capital expenditure management, revenue operations, cost optimization, and strategic programs, with scope evolving alongside business priorities. The role connects financial, commercial, and operational data to explain business performance, anticipate risks, and guide investment and execution across OCI. The role develops decision-focused analytics programs, translating executive priorities into questions, hypotheses, success measures, scope, and roadmaps. It works across Finance, Engineering, Data Science, Business Intelligence, Product, Sales, and Operations to align accountability, milestones, dependencies, resources, and decision rights. It also partners with engineering and analytics teams to define data and system requirements and deliver integrations, models, analytical methods, and scalable tools. The position establishes trusted metrics and data controls, communicates findings and recommendations to senior leaders, and carries insights through adoption and measured impact. It also develops reusable program practices and analytical frameworks, mentors program and analytics leaders, and improves how OCI identifies opportunities, makes decisions, and measures business value. The role’s principal business areas include improving visibility into capital plans, commitments, spending, deployment, and asset utilization; analyzing customer demand, consumption, revenue performance, and growth opportunities; identifying and validating cost-efficiency opportunities; and developing business cases, scenarios, and performance measures for strategic initiatives.

Requirements

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Technology, Business Administration, or a related field, or equivalent practical experience.
At least 7 years of experience in technical program management, business analytics, business operations, or a related discipline.
Demonstrated leadership of complex programs spanning multiple functions and senior stakeholders.
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 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, including ability to explain complex analysis and lead decisions with technical and nontechnical audiences.

Nice To Haves

Experience in cloud infrastructure, data center economics, capacity planning, or infrastructure investment and utilization.
Experience leading analytics programs in 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.

Responsibilities

Shape the analytics agenda for high-priority OCI business challenges and lead programs from problem definition through technical delivery, adoption, and outcome measurement.
Partner with Finance, Infrastructure, and Capacity teams to improve visibility into capital plans, commitments, spending, deployment, and asset utilization.
Lead capital-investment analytics that inform prioritization, explain variances, and assess capacity and return-on-investment tradeoffs.
Bring Sales, Finance, Product, and Operations together 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.
Lead programs that expose cost drivers, unit economics, and efficiency opportunities; align owners on interventions and validate realized savings with Finance while accounting for service performance and customer impact.
Develop business cases, scenarios, and performance measures for emerging strategic priorities, including regional growth, portfolio investments, and operating-model improvements.
Guide leaders through tradeoffs and track whether strategic initiatives deliver intended value.
Translate executive priorities into a portfolio of decision-focused programs; define business questions, hypotheses, success measures, scope, and roadmaps, and prioritize work by impact and feasibility.
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.
Translate business needs into data and system requirements and 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.
Establish common KPI definitions, accountable data owners, and controls for data quality, lineage, access, and reconciliation; ensure analyses distinguish facts, assumptions, and uncertainty and measure financial impact consistently.
Synthesize complex findings into clear explanations and recommendations; present scenarios and tradeoffs to senior leaders, secure decisions, and align stakeholders around execution.
Embed analytics into planning and operating reviews, assign action owners, track adoption and results against agreed baselines, and help move successful prototypes into supported solutions.
Establish reusable program practices and analytical frameworks, mentor program and analytics leaders, and improve how OCI identifies opportunities, makes decisions, and measures business value.

Benefits

Medical, dental, and vision insurance, including expert medical opinion.
Short-term and long-term disability.
Life insurance and AD&D.
Supplemental life insurance for employees, spouses, and children.
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, including Flexible Vacation for eligible salaried non-overtime positions or accrued vacation for other eligible employees.
11 paid holidays.
72 hours of paid sick leave upon hire, refreshed each calendar year, with unused balances carrying over up to a 112-hour cap.
Paid parental leave.
Adoption assistance.
Employee Stock Purchase Plan.
Financial planning and group legal benefits.
Voluntary benefits, including auto, homeowner, and pet insurance.
May be eligible for bonus, equity, and compensation deferral.