O

Oracle

Builds databases, business apps and cloud services

Lead Principal Technical Program Manager

Program ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A 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, including leadership of complex programs across 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, business intelligence 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.
  • Ability to explain complex analysis and lead decisions with technical and nontechnical audiences, supported by strong written and verbal communication, executive judgment, and negotiation skills.

Responsibilities

  • 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.
  • Bring Sales, Finance, Product, and Operations together to analyze customer demand, consumption, revenue performance, and growth opportunities; identify customer-lifecycle constraints and turn findings into actions that improve forecasting and business execution.
  • Lead programs to 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.
  • 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 initiative value.
  • Translate executive priorities into a portfolio of decision-focused programs; define business questions, hypotheses, success measures, scope, and roadmaps, and prioritize work by business 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; partner with engineering and analytics teams on data integration, models, analytical methods, and scalable tools; use exploratory analysis and prototypes to validate assumptions and accelerate delivery.
  • Establish common key performance indicator 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 for senior leaders; present scenarios and tradeoffs, secure decisions, and align stakeholders around execution.
  • 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.
  • Establish reusable program practices and analytical frameworks, mentor program and analytics leaders, and improve how the organization identifies opportunities, makes decisions, and measures business value.

Desired Qualifications

  • 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.

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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