Principal Program Manager – OCI Business Operations Analytics & Insights

Location: Nashville, TN — onsite 5 days/week. Relocation assistance is available; this is not a remote position.

Work Authorization: Visa sponsorship is not available for this position.

Overview

Oracle Cloud Infrastructure (OCI) is seeking a Principal Program Manager to join the OCI Business Operations Analytics & Insights team.

The OCI Business Operations Analytics & Insights team supports business operations through data-driven reporting, advanced analytics, and actionable insights. The team partners across business functions, including Finance and operational organizations, to improve reporting consistency, establish reliable performance metrics, and deliver information that supports informed leadership decisions.

In this role, you will independently lead complex analytical and executive reporting programs, combining strong quantitative capabilities with cross-functional program leadership. You will own reporting delivery plans, coordinate inputs across multiple organizations, analyze complex datasets, validate business metrics, and translate findings into clear recommendations and executive-ready materials.

You will also play a key role in strengthening established reporting programs by developing repeatable metric definitions, analytical controls, and scalable processes that improve reporting accuracy, consistency, and timeliness.

Why OCI?

Oracle Cloud Infrastructure delivers cloud technologies and services that support businesses operating at scale.

Within OCI Business Operations Analytics & Insights, you will lead established business operations reporting programs while identifying opportunities to improve analytical methodologies, develop new reporting views, and strengthen data governance and operational controls.

This role offers the opportunity to work on complex business challenges, influence cross-functional reporting practices, and deliver insights that support senior leadership decision-making.

Key Responsibilities

• Independently lead complex business operations analytics and executive reporting programs, owning end-to-end planning, execution, and delivery across multiple teams.
• Establish and manage reporting workback schedules, milestones, dependencies, review cycles, and final deliverables to meet fixed leadership reporting deadlines.
• Partner with Finance, operational teams, and data owners to coordinate reporting inputs, resolve dependencies, and ensure consistency across business metrics.
• Use Python or R to manage, transform, and analyze complex datasets, identify trends, investigate discrepancies, and develop actionable business insights.
• Build, review, and validate quantitative analyses and analytical models, reconciling conflicting data sources and resolving inconsistencies.
• Establish and maintain standardized metric definitions, calculation methodologies, data dictionaries, and documentation to improve reporting consistency and transparency.
• Implement rigorous data quality checks, validation controls, and repeatable processes that strengthen the accuracy and reliability of business reporting.
• Develop executive-ready narratives, presentations, analytical summaries, and recommendations that communicate complex findings clearly and concisely.
• Review dashboards, reporting outputs, and presentation materials to ensure analytical accuracy, clarity, and alignment with business requirements.
• Identify opportunities to improve existing reporting processes, introduce new analytical views, and automate recurring workflows to increase efficiency and scalability.
• Drive cross-functional issue resolution by identifying reporting gaps, coordinating corrective actions, and following dependencies through completion.
• Serve as an analytical and program management partner to stakeholders, providing data-driven perspectives that support business operations planning and leadership discussions.

Minimum Qualifications

• 8+ years of professional experience in business operations, business analytics, data analysis, program management, executive reporting, or a related field, including experience independently leading complex, cross-functional analytical or reporting initiatives.
• Demonstrated experience independently leading complex business operations, analytics, or executive reporting programs across multiple teams and stakeholder groups.
• Strong hands-on experience using Python or R to manage, clean, transform, and analyze complex datasets.
• Advanced quantitative and analytical skills, including experience developing and reviewing analytical models, reconciling conflicting data sources, and investigating data discrepancies.
• Proven ability to establish business metric definitions, document calculation methodologies, and implement rigorous data quality validation processes.
• Experience owning end-to-end program execution, including workback schedules, cross-functional dependencies, stakeholder reviews, and final deliverables under fixed deadlines.
• Strong cross-functional collaboration and stakeholder management skills, including experience partnering with Finance, business operations, and technical teams.
• Excellent executive communication skills, with demonstrated ability to develop concise written narratives, presentations, and data-driven recommendations for senior leadership.
• Ability to independently navigate ambiguous business requirements, structure complex analytical problems, and drive initiatives through resolution.

Preferred Qualifications

• Familiarity with cloud infrastructure operations and business metrics, including capacity, fleet deployment, utilization, consumption, and time to revenue.
• Experience supporting board, earnings, monthly business reviews, or other senior leadership reporting cycles.
• Working knowledge of SQL, business intelligence tools, and data visualization platforms.
• Experience partnering with Finance on revenue analysis, customer commitments, performance obligations, or related financial operating metrics.
• Experience developing data dictionaries, standardizing business metrics, or improving reporting governance and controls.
• Experience improving established analytical and reporting programs through automation, process standardization, and reusable analytical frameworks.