Senior Program Manager, Data Governance & Analytics

The Senior Program Manager, Data Governance & Analytics establishes and leads the data governance, reporting, and analytics strategy for Global Program Controls. This role is accountable for ensuring that portfolio delivery data is consistently defined, accurately maintained, appropriately governed, and translated into actionable insights for senior leadership.

As the recognized subject matter expert for program data and performance reporting, this individual will define the policies, standards, operating mechanisms, and analytical capabilities that enable trusted decision-making across the global portfolio. The role owns the authoritative delivery data framework, executive portfolio dashboards, operational reporting suite, data quality program, stewardship network, and reporting calendar.

This position operates across multiple organizations and systems, including Jira, Primavera Cloud, Apex, Unifier, financial platforms, and business intelligence tools. The Senior Program Manager will influence senior leaders, program controls teams, technology partners, finance organizations, and functional stakeholders to establish consistent data practices and improve portfolio visibility.

The successful candidate combines deep expertise in data governance, business intelligence, and program controls with strong executive communication and cross-functional leadership. This is a highly influential individual contributor role that leads enterprise-scale programs and processes through expertise, partnership, and strategic influence rather than direct people management.

Key Responsibilities

Data Governance Strategy and Leadership

• Establish and lead the Global Program Controls Data Governance program, including its strategy, policies, standards, operating model, controls, and performance measures.
• Develop the overarching data governance policy framework and ensure alignment with enterprise data, security, compliance, and technology requirements.
• Define decision rights, ownership models, escalation paths, and governance forums for portfolio delivery data.
• Advise leadership on data governance, reporting strategy, analytical capability, and portfolio performance measurement.
• Evaluate emerging technologies, governance practices, and analytical approaches that can improve data quality, accessibility, automation, and decision-making.
• Lead complex, cross-functional data initiatives that span multiple organizations, regions, business processes, and technology platforms.

Data Standards, Dictionary, and Lineage

• Lead development and maintenance of the authoritative data dictionary for delivery data across Jira, Primavera Cloud, Unifier, financial systems, and reporting platforms.
• Define standard business terms, metric definitions, calculation methodologies, source-system ownership, and acceptable-use requirements.
• Establish and maintain data lineage documentation that maps data from source systems through integrations, transformations, semantic models, dashboards, and reports.
• Ensure that key portfolio metrics have documented definitions, accountable owners, approved sources, and transparent calculation logic.
• Resolve conflicting definitions and promote consistent use of data and metrics across teams and regions.

Data Quality and Issue Resolution

• Define and enforce data quality rules for completeness, validity, accuracy, consistency, timeliness, and uniqueness.
• Establish scheduled data quality monitoring, automated validation checks, exception reporting, and data quality scorecards.
• Create measurable data quality targets and communicate trends, gaps, and risks to leadership and data owners.
• Operate the data issue resolution process, giving stakeholders a clear mechanism to report suspected data defects.
• Lead root-cause analysis and corrective-action efforts for recurring or high-impact data issues.
• Partner with system owners and business teams to address upstream process weaknesses rather than relying solely on downstream corrections.
• Ensure executive and operational reports are validated for accuracy and completeness before distribution.

Master Data and Data Stewardship

• Govern critical master and reference data, including canonical site names, project identifiers, regional hierarchies, organizational structures, program classifications, and reporting dimensions.
• Establish and manage a cross-functional data stewardship network.
• Identify data owners and stewards within each functional area and define their responsibilities, decision authority, and expected service levels.
• Provide training, guidance, tools, and ongoing support to data stewards and contributors.
• Facilitate governance forums that address data quality, definition changes, ownership gaps, and cross-system alignment.
• Mentor peers and stakeholders on governance, reporting, data interpretation, and analytical best practices.

Executive Reporting and Analytics

• Own the strategy, design, development, and ongoing maintenance of the global portfolio executive dashboard and operational reporting suite.
• Translate complex program, schedule, cost, risk, and workflow data into clear, visually compelling insights for vice presidents and other senior leaders.
• Establish reporting standards covering templates, visualization conventions, metric definitions, validation protocols, version control, distribution, and retention.
• Manage the reporting calendar and ensure reports are produced, reviewed, approved, and distributed according to established cadences.
• Respond to ad hoc leadership requests for custom analysis, scenario evaluation, and portfolio deep dives.

Systems and Data Partnerships

• Partner with systems integration, data engineering, IT, and application teams to ensure reliable and scalable data flows.
• Define business requirements for integrations, data models, reporting layers, controls, and workflow enhancements.
• Partner with system owners to align data access policies with role-based access, confidentiality, security, and business requirements.
• Assess the downstream reporting and governance impact of system, process, and data-model changes.
• Ensure analytical products draw from governed, traceable, and trusted data sources.
• Drive adoption of reusable data products and self-service reporting capabilities while maintaining appropriate governance and controls.

Stakeholder Leadership and Influence

• Build and maintain a broad network across Global Program Controls, delivery organizations, finance, IT, data engineering, system administration, and senior leadership.
• Lead through influence across teams where formal authority may not exist.
• Communicate recommendations, risks, tradeoffs, and decisions to both technical and non-technical audiences.
• Facilitate alignment among stakeholders with competing requirements, definitions, or priorities.
• Represent Global Program Controls in enterprise data, reporting, and technology forums.
• Provide coaching and mentorship to analysts, program managers, data stewards, and other peers across the line of business.
• Foster inclusive collaboration by ensuring relevant stakeholders are represented in governance, reporting, and decision-making activities.

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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.

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: $116,600 to $264,100 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:

1. Medical, dental, and vision insurance, including expert medical opinion

2. Short term disability and long term disability

3. Life insurance and AD&D

4. Supplemental life insurance (Employee/Spouse/Child)

5. Health care and dependent care Flexible Spending Accounts

6. Pre-tax commuter and parking benefits

7. 401(k) Savings and Investment Plan with company match

8. 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.

9. 11 paid holidays

10. 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.

11. Paid parental leave

12. Adoption assistance

13. Employee Stock Purchase Plan

14. Financial planning and group legal

15. 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.

Career Level - IC5

Required Qualifications

• Extensive experience leading data governance, analytics, business intelligence, program controls, or enterprise reporting in a complex global environment.

• Demonstrated experience building or significantly maturing a data governance or enterprise reporting program.

• Expert knowledge of at least one relevant specialist area, such as data governance, business intelligence, program controls, data management, or portfolio analytics.

• Deep understanding of:

• Data quality management

• Master and reference data management

• Data lineage and metadata management

• Data ownership and stewardship

• Metric governance

• Reporting controls

• Analytical data modeling

• Expert proficiency with Power BI or Tableau, including dashboard design, semantic or data modeling, calculated measures, and report distribution.

• Strong knowledge of program controls and performance metrics, including schedule variance, cost variance, forecast accuracy, service-level performance, and earned value.

• Experience extracting, interpreting, reconciling, or reporting data from Primavera P6 and Jira.

• Experience defining executive dashboards and translating complex data into concise, decision-oriented narratives.

• Demonstrated success influencing senior leaders and cross-functional teams across organizational boundaries.

• Ability to lead multiple complex initiatives with significant business impact, ambiguity, and interdependencies.

• Strong written, verbal, facilitation, and executive presentation skills.

• Proficiency with Jira, Confluence, and enterprise reporting or analytics platforms.

Preferred Qualifications

• Experience supporting construction, capital programs, infrastructure delivery, or data center development.
• Familiarity with DAMA-DMBOK or comparable data governance frameworks.
• Experience with Unifier, or similar capital project management systems.
• Knowledge of financial reporting, including budget-versus-actual analysis, cash-flow forecasting, and cost forecasting.
• Experience partnering with data engineering teams on integrations, transformation logic, data warehouses, or semantic reporting layers.
• Experience implementing automated data quality monitoring or governance workflow tools.
• Familiarity with predictive analytics, artificial intelligence, or machine-learning applications for program controls and portfolio management.
• Experience operating in a large, globally distributed enterprise environment.

Key Partners

• Global Program Controls leadership
• Systems Integration and Data Engineering
• Program and Project Controls teams
• Reporting and Analytics teams
• Root Cause Analysis leaders
• Functional and regional pillar leads
• Data owners and data stewards
• Information Technology and enterprise data teams
• Finance and business operations
• Scheduling, cost management, risk, and delivery organizations

Scope and Impact

• Serves as the recognized subject matter expert for data governance, analytics, and portfolio reporting within the line of business.
• Leads strategies, programs, and operating processes that have a material impact on portfolio visibility, data trust, and leadership decision-making.
• Advises senior leadership on decisions involving data strategy, performance measurement, governance, systems, and reporting.
• Leads work that spans multiple functions, systems, organizations, and geographic regions.
• Addresses complex and ambiguous problems by examining systemic causes, applying industry best practices, and introducing innovative or non-conventional approaches.
• Regularly contributes to strategic planning and decision-making for Global Program Controls.
• Establishes scalable capabilities that improve how the organization manages data, measures performance, identifies risk, and executes its global portfolio.

Required Qualifications

• Extensive experience leading data governance, analytics, business intelligence, program controls, or enterprise reporting in a complex global environment.

• Demonstrated experience building or significantly maturing a data governance or enterprise reporting program.

• Expert knowledge of at least one relevant specialist area, such as data governance, business intelligence, program controls, data management, or portfolio analytics.

• Deep understanding of:

• Data quality management

• Master and reference data management

• Data lineage and metadata management

• Data ownership and stewardship

• Metric governance

• Reporting controls

• Analytical data modeling

• Expert proficiency with Power BI or Tableau, including dashboard design, semantic or data modeling, calculated measures, and report distribution.

• Strong knowledge of program controls and performance metrics, including schedule variance, cost variance, forecast accuracy, service-level performance, and earned value.

• Experience extracting, interpreting, reconciling, or reporting data from Primavera P6 and Jira.

• Experience defining executive dashboards and translating complex data into concise, decision-oriented narratives.

• Demonstrated success influencing senior leaders and cross-functional teams across organizational boundaries.

• Ability to lead multiple complex initiatives with significant business impact, ambiguity, and interdependencies.

• Strong written, verbal, facilitation, and executive presentation skills.

• Proficiency with Jira, Confluence, and enterprise reporting or analytics platforms.

Preferred Qualifications

• Experience supporting construction, capital programs, infrastructure delivery, or data center development.
• Familiarity with DAMA-DMBOK or comparable data governance frameworks.
• Experience with Unifier, or similar capital project management systems.
• Knowledge of financial reporting, including budget-versus-actual analysis, cash-flow forecasting, and cost forecasting.
• Experience partnering with data engineering teams on integrations, transformation logic, data warehouses, or semantic reporting layers.
• Experience implementing automated data quality monitoring or governance workflow tools.
• Familiarity with predictive analytics, artificial intelligence, or machine-learning applications for program controls and portfolio management.
• Experience operating in a large, globally distributed enterprise environment.

Key Partners

• Global Program Controls leadership
• Systems Integration and Data Engineering
• Program and Project Controls teams
• Reporting and Analytics teams
• Root Cause Analysis leaders
• Functional and regional pillar leads
• Data owners and data stewards
• Information Technology and enterprise data teams
• Finance and business operations
• Scheduling, cost management, risk, and delivery organizations

Scope and Impact

• Serves as the recognized subject matter expert for data governance, analytics, and portfolio reporting within the line of business.
• Leads strategies, programs, and operating processes that have a material impact on portfolio visibility, data trust, and leadership decision-making.
• Advises senior leadership on decisions involving data strategy, performance measurement, governance, systems, and reporting.
• Leads work that spans multiple functions, systems, organizations, and geographic regions.
• Addresses complex and ambiguous problems by examining systemic causes, applying industry best practices, and introducing innovative or non-conventional approaches.
• Regularly contributes to strategic planning and decision-making for Global Program Controls.
• Establishes scalable capabilities that improve how the organization manages data, measures performance, identifies risk, and executes its global portfolio.