Senior Program Manager, Data Governance & Analytics

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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
• 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.

• 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.

• 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.

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