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 Senior 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, analytics, and actionable insights. The team works across business functions to improve reporting consistency, establish reliable metrics, and provide leaders with the information needed to make informed operational decisions.
In this role, you will combine hands-on data analysis with cross-functional program management to drive recurring reporting and analytical initiatives. You will partner with business stakeholders and data owners to translate requirements into analytical solutions, validate metrics, develop dashboards, and deliver clear, actionable insights.
You will also help scale established reporting and analytics processes by developing reusable datasets, standardizing metrics, and identifying opportunities to improve efficiency and reporting reliability.
Why OCI?
Oracle Cloud Infrastructure delivers cloud technologies and services that support businesses operating at scale.
Within OCI Business Operations Analytics & Insights, you will contribute to an established reporting and analytics workstream while helping develop reusable datasets, dashboards, and processes.
This role offers an opportunity to combine technical problem-solving with business impact, improve reporting consistency, and help stakeholders make better-informed decisions.
Internal Responsibilities
Key Responsibilities
- Manage recurring reporting and analytics initiatives, coordinating stakeholders, timelines, dependencies, and deliverables to ensure timely completion.
- Partner with business stakeholders to clarify analytical requests, define requirements, and establish measurable outcomes.
- Write and optimize SQL queries to extract, join, reconcile, and validate data from multiple sources.
- Use Python or R to clean, transform, and analyze complex datasets, identifying trends, inconsistencies, and actionable insights.
- Define and document business metrics, calculation logic, data definitions, and reporting assumptions to improve consistency across reporting.
- Perform data quality checks to ensure reporting accuracy, consistency, and reliability.
- Develop and maintain reusable datasets, dashboards, visualizations, and recurring reports that communicate operational performance.
- Translate analytical findings into concise written updates, presentations, and actionable insights that help business leaders understand operational trends and make informed decisions.
- Coordinate with data owners and cross-functional partners to resolve data discrepancies, manage reporting dependencies, and deliver accurate analytical outputs.
- Identify opportunities to improve, standardize, and automate recurring analytics and reporting processes, reducing manual effort and improving scalability.
- Maintain clear documentation and track analytical deliverables through stakeholder review and completion.
Minimum Qualifications
- 5+ years of professional experience in business analytics, data analysis, business operations, program management, or a related field, including experience delivering analytical or reporting initiatives.
- Experience managing analytics, business reporting, or data-driven projects involving multiple stakeholders, deadlines, and dependencies.
- Strong hands-on SQL skills, including extracting, joining, transforming, and validating complex datasets.
- Practical experience using Python or R for data cleaning, manipulation, and analysis.
- Experience defining business metrics, documenting calculation logic, and performing data quality validation.
- Ability to translate ambiguous business requests into clear analytical requirements and actionable deliverables.
- Strong organizational and program management skills, with the ability to coordinate parallel workstreams and follow through on commitments.
- Excellent written and verbal communication skills, including the ability to explain analytical findings to nontechnical audiences.
Preferred Qualifications
- Experience developing dashboards and reports using business intelligence or data visualization tools.
- Familiarity with cloud infrastructure operations, capacity planning, utilization metrics, or financial operating metrics.
- Experience automating recurring data preparation, analysis, or reporting workflows.
- Working knowledge of version control, documentation standards, and reproducible analytical practices.
- Experience preparing executive-ready presentations, charts, and written business summaries.
- Experience improving existing reporting processes, standardizing metrics, or developing reusable analytical datasets.
#LI-AJP
External Responsibilities
Key Responsibilities
- Manage recurring reporting and analytics initiatives, coordinating stakeholders, timelines, dependencies, and deliverables to ensure timely completion.
- Partner with business stakeholders to clarify analytical requests, define requirements, and establish measurable outcomes.
- Write and optimize SQL queries to extract, join, reconcile, and validate data from multiple sources.
- Use Python or R to clean, transform, and analyze complex datasets, identifying trends, inconsistencies, and actionable insights.
- Define and document business metrics, calculation logic, data definitions, and reporting assumptions to improve consistency across reporting.
- Perform data quality checks to ensure reporting accuracy, consistency, and reliability.
- Develop and maintain reusable datasets, dashboards, visualizations, and recurring reports that communicate operational performance.
- Translate analytical findings into concise written updates, presentations, and actionable insights that help business leaders understand operational trends and make informed decisions.
- Coordinate with data owners and cross-functional partners to resolve data discrepancies, manage reporting dependencies, and deliver accurate analytical outputs.
- Identify opportunities to improve, standardize, and automate recurring analytics and reporting processes, reducing manual effort and improving scalability.
- Maintain clear documentation and track analytical deliverables through stakeholder review and completion.
Minimum Qualifications
- 5+ years of professional experience in business analytics, data analysis, business operations, program management, or a related field, including experience delivering analytical or reporting initiatives.
- Experience managing analytics, business reporting, or data-driven projects involving multiple stakeholders, deadlines, and dependencies.
- Strong hands-on SQL skills, including extracting, joining, transforming, and validating complex datasets.
- Practical experience using Python or R for data cleaning, manipulation, and analysis.
- Experience defining business metrics, documenting calculation logic, and performing data quality validation.
- Ability to translate ambiguous business requests into clear analytical requirements and actionable deliverables.
- Strong organizational and program management skills, with the ability to coordinate parallel workstreams and follow through on commitments.
- Excellent written and verbal communication skills, including the ability to explain analytical findings to nontechnical audiences.
Preferred Qualifications
- Experience developing dashboards and reports using business intelligence or data visualization tools.
- Familiarity with cloud infrastructure operations, capacity planning, utilization metrics, or financial operating metrics.
- Experience automating recurring data preparation, analysis, or reporting workflows.
- Working knowledge of version control, documentation standards, and reproducible analytical practices.
- Experience preparing executive-ready presentations, charts, and written business summaries.
- Experience improving existing reporting processes, standardizing metrics, or developing reusable analytical datasets.
#LI-AJP
