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Moog

Data Governance & Business Intelligence Manager

Buffalo, NY · Tewkesbury, GBR · Amsterdam, NL · Christiansburg, VA

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hirly's read of this role

Seniority
Lead / management
Countries
US, GB, NL
Work mode
On-site / unstated
First seen by hirly
5 Nov 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Moog is a performance culture that empowers people to achieve great things. Our people enjoy solving interesting technical challenges in a culture where everyone trusts each other to do the right thing. For you, working with us can mean deeper job satisfaction, better rewards, and a great quality of life inside and outside of work.

Job Title :

Data Governance & Business Intelligence Manager

Work Schedule:

Hybrid – Buffalo, NY Moog's Industrial Group is seeking a Data Governance & Business Intelligence Manager to lead the strategy, governance, stewardship, and business intelligence capabilities that enable trusted, data-driven decision making across the organization.

Your role serves as the business-facing counterpart to the Data Solutions Manager and is responsible for establishing the Industrial Group data governance framework, defining and governing critical business metrics, and ensuring leaders have consistent, actionable insights to support operational and strategic decisions.

Operating within a federated data management model, you will partner with business process owners, Corporate Data Management, Finance, Operational Excellence, and Industrial Group IT to align data standards, KPI definitions, and reporting practices while supporting the needs of Industrial Group businesses. As Moog advances its ERP and data modernization journey, in this role you will govern data and analytics requirements and help preserve trusted measures through the transition from legacy reporting environments to future-state analytics capabilities.

The role can be based in the US, UK or Europe.

To be considered for the Data Governance & Business Intelligence Manager, here’s what you’ll typically need to bring with you:

  • Typically a bachelor's degree in Business, Information Systems, Data Analytics, Engineering, Finance, or a related field, or a combination of education and equivalent experience.
  • Minimum of seven (7) years of experience in data governance, business intelligence, analytics, performance management, or related disciplines, including significant experience leading teams or enterprise capabilities.
  • Demonstrated experience establishing data governance programs, stewardship models, business data standards, and data quality practices in a complex organization.
  • Experience defining KPI frameworks, business metrics, semantic definitions, and performance measurement practices across multiple functions or business units.
  • Strong expertise with business intelligence and visualization platforms such as Power BI, Tableau, Spotfire, SAP Analytics Cloud, or comparable solutions.
  • Experience engaging senior leaders and cross-functional stakeholders to resolve competing definitions, priorities, and reporting needs.
  • Strong facilitation, communication, change leadership, and stakeholder management skills.
  • Working familiarity with modern data architectures and platforms, including Databricks lakehouse concepts, semantic models, data catalogs, lineage, and governance controls.
  • Experience supporting ERP transformation or modernization initiatives; SAP ECC, SAP S/4HANA, or SAP BW experience is preferred.
  • Knowledge of recognized data management and governance practices, such as DAMA-DMBOK, DCAM, COBIT, or comparable frameworks, is preferred.
  • Experience in manufacturing, aerospace, industrial, or another complex regulated environment is preferred.
  • Domestic and/or international travel may be required

As the Data Governance & Business Intelligence Manager, your key responsibilities will include:

Data Governance Leadership

  • Lead the Industrial Group data governance program, including governance processes, operating models, standards, policies, and stewardship activities.
  • Partner with Corporate Data Management to align Industrial Group practices with enterprise data standards and governance frameworks.
  • Establish accountability for critical business data through defined data ownership and stewardship structures.
  • Facilitate governance councils and working groups to resolve data definition, ownership, quality, and prioritization matters.
  • Develop and maintain business glossaries, data dictionaries, metadata standards, critical data element definitions, and supporting documentation.
  • Oversee data quality governance, including issue identification, prioritization, escalation, and coordinated remediation with business and technology teams.
  • Promote practical adoption of data governance across functions without creating unnecessary barriers to business value.

Business KPI & Performance Management

  • Own the Industrial Group KPI framework and performance measurement strategy.
  • Establish governed business metric definitions and promote consistent application across reporting platforms, functions, and business units.
  • Partner with business leaders and process owners to identify critical measures supporting strategic, operational, financial, customer, and process objectives.
  • Create and maintain a centralized KPI catalog with documented definitions, calculation logic, ownership, source, cadence, and approval status.
  • Lead cross-functional resolution of conflicting business definitions or performance measures.
  • Govern the KPI lifecycle, including proposal, review, approval, modification, certification, and retirement.
  • Translate approved metric definitions and reporting requirements into clear requirements for technical implementation.

Business Intelligence & Analytics

  • Lead the Industrial Group business intelligence function, including dashboard strategy, reporting standards, visualization practices, and analytics roadmaps.
  • Manage BI analysts responsible for dashboards, scorecards, recurring reporting, self-service analytics enablement, and business insights.
  • Establish standards for visualization design, usability, accessibility, performance, documentation, and executive reporting.
  • Drive adoption of governed reporting capabilities using Power BI and other approved enterprise analytics platforms.
  • Ensure executive scorecards, operational dashboards, and management reporting provide consistent views of business performance.
  • Rationalize redundant or conflicting reports and promote certified, reusable analytics assets.
  • Balance governed enterprise reporting with appropriate self-service analytics capabilities for business teams.

Business Partnership & Analytics Enablement

  • Serve as a trusted advisor to business leaders on performance measurement, reporting strategy, and data-driven decision making.
  • Partner with Global Business Process Owners and functional leaders to align measures with process design and performance objectives.
  • Translate business needs into governed analytics requirements for delivery by the Data Solutions team.
  • Collaborate across Finance, Supply Chain, Operations, Engineering, Quality, Commercial, and IT organizations to improve performance visibility.
  • Drive data literacy, metric understanding, and adoption of analytics capabilities across the Industrial Group.
  • Lead change management and communications for new governance standards, KPIs, dashboards, and reporting practices.

ERP & Data Transformation Support

  • Define governance, reporting, and KPI requirements supporting SAP ECC to SAP S/4HANA and related data modernization initiatives.
  • Ensure critical business measures, definitions, and reporting requirements are documented and considered throughout migration and modernization efforts.
  • Partner with the Data Solutions Manager to validate business rules, KPI consistency, and data quality outcomes during platform transitions.
  • Lead business participation in data validation, user acceptance, and KPI certification activities.
  • Support the controlled transition from legacy reports to future-state analytics, including business approval of replacement and retirement decisions.

People & Functional Leadership

Lead, coach, and develop a high-performing team of business intelligence and data governance p

Original posting on Moog's site ↗

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