Data Governance & Business Intelligence Manager

Moog; Buffalo (NY); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Moog is seeking a Data Governance & Business Intelligence Manager to lead governance, metrics, and BI capabilities for trusted, data-driven decisions. You will collaborate across groups to define standards, dashboards, and KPI definitions while guiding data policy and governance through ERP/data modernization initiatives.

The role emphasizes leadership, cross-functional engagement, and the delivery of actionable insights to support operational and strategic choices.

Qualifications

• Typically a bachelor's degree in a related field or equivalent experience.
• Minimum seven years in data governance, BI, analytics, or related disciplines with leadership experience.
• Experience establishing data governance programs, stewardship models, standards, and data quality practices.
• Experience defining KPI frameworks and semantic definitions across functions or units.
• Strong BI experience with Power BI, Tableau, Spotfire, SAP Analytics Cloud, or comparable tools.

Responsibilities

• Lead the Industrial Group data governance program including governance processes, standards, policies, and stewardship.
• Partner with Corporate Data Management to align practices with enterprise standards.
• Establish accountability for critical business data via ownership and stewardship structures.
• Facilitate governance councils to resolve data definition, ownership, quality, and prioritization.
• Develop and maintain glossaries, data dictionaries, metadata standards, and data element definitions.
• Oversee data quality governance including issue identification, prioritization, escalation, and remediation.
• Promote practical adoption of data governance across functions.

Skills

Data governance

Business intelligence

KPI definitions

Stakeholder management

Power BI

Tableau

Spotfire

SAP Analytics Cloud

KPI frameworks

Data governance programs

Education

Bachelor's degree in Business, Information Systems, Data Analytics, Engineering, Finance

Tools

Databricks

SAP ECC/SAP S/4HANA/SAP BW

Data catalogs

Job description

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.

Requirements

• 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.

Responsibilities

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, calcu