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Principal Program Manager, Data Governance & Analytics

in 47608, Geldern, Nordrhein-Westfalen, Deutschland
Unternehmen: Ll Oefentherapie
Vollzeit position
Verfasst am 2026-10-05
Berufliche Spezialisierung:
  • IT/Informationstechnik
    Geschäftsintelligenz, Dateningenieur, Daten Analyst, Data Warehousing
Gehalts-/Lohnspanne oder Branchenbenchmark: 90000 - 130000 EUR pro Jahr EUR 90000.00 130000.00 YEAR
Stellenbeschreibung
Location: Geldern

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…
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