Senior Manager - Data Governance [Hybrid]

About Us:

EDF power solutions North America has been providing clean energy solutions throughout the U.S., Canada, and Mexico since 1987. We are a market-leading independent power producer and service provider, serving utilities, corporations, industries, communities, institutions, and investors with reliable, low-carbon energy solutions that help meet growing demand.

From developing and building scalable wind (onshore and offshore), solar, storage (battery and pumped storage hydro), smart EV charging, microgrids, green hydrogen, and transmission projects, to maximizing performance and profitability through skilled operations and maintenance and innovative asset optimization, our teams deliver expert solutions along the entire value chain—from origination to commercial operation.

Be a part of an innovative and collaborative team environment that fosters our goal of delivering renewable solutions to lead the transition to a sustainable energy future.

Benefits & Perks: 

EDF power solutions offers best-in-class employee benefits, including the following:

• Competitive bonus incentives. This position is eligible for our annual bonus program.
• Comprehensive health coverage. We provide low-cost health & wellness coverage for employees and their eligible dependents.
• Rewarding 401k. We provide a generous matching contribution.

We are also proud to offer:

• Favorable paid time off programs, including paid parental leave after one year of service.
• Rewarding learning & career development and advancement opportunities.
• Supportive mentorship & buddy programs.

Salary Range: The full pay range for this role is $133,000 - $221,700 annually. We generally base our salary decisions on factors such as internal equity, candidate work and/leadership experience, educational credentials, and in some cases, candidate work location.

Scope of Job: The Senior Manager - Data Governance, establishes and leads the enterprise data governance function from the ground up. This role involves designing and deploying foundational governance frameworks, policies, and operating models while managing a team of specialized data professionals. The role establishes enterprise data governance capabilities in an organization with emerging data maturity, driving adoption of governance practices, master data management, data quality standards, and data protection compliance. The Sr Manager, Data Governance partners closely with peer functions in Data Architecture, Data Product Management, Data Engineering, and Analytics & Insights to embed governance throughout the data ecosystem.

Responsibilities:

• Data Governance Program Leadership:
  • Designs and deploys enterprise data governance framework from scratch, including the operating model, policies, standards, and procedures.
  • Establishes data governance councils, working groups, and decision-making structures appropriate for the maturity level of the organization.
  • Develops and executes the roadmap for data governance maturity, balancing quick wins with long-term strategic objectives.
  • Creates and implements data stewardship models, defining roles, responsibilities, and accountability across the business and IT.
  • Defines and tracks governance KPIs and metrics to demonstrate program value and progression.
  • Establishes data classification schemes and data handling protocols.
  • Drives data literacy initiatives across the organization through training, communication, and enablement programs
• Master Data & Data Quality Management:
  • Defines enterprise master data management (MDM) strategy and standards across all domains
  • Oversees both enterprise-wide MDM initiatives and legacy SAP MDG operations.
  • Establishes data quality frameworks, including rules, measurements, and remediation processes.
  • Drives data quality improvement initiatives and monitors ongoing data health across critical data domains.
  • Defines and implements metadata management and business glossary standards, oversees the data catalog.
  • Leads data profiling and assessment activities to baseline current state and identify improvement opportunities.
  • Partners with Data Architecture on data models, lineage, and technical implementation of governance controls
• Team Leadership & Development:
  • Builds and scales the data governance team to meet organizational needs
  • Leads recruitment, hiring, and onboarding of data governance talent.
  • Provides coaching, mentorship, and capability development for team members across governance, master data, data quality, and data protection specializations.
  • Conducts performance management and develops career development paths for direct reports.
  • Fosters collaborative, high-performance culture aligned with organizational data goals.
  • Identifies skill gaps and drives professional development initiatives.
• Cross-functional Collaboration & Change Management:
  • Partners with Data Architecture team to ensure governance policies align with technical architecture and standards.
  • Collaborates with Head of Data Product Management to embed governance into the data product lifecycle and ensures governed data supports analytical use cases.
  • Works with the Data Engineering Manager to implement governance controls, metadata management, and quality checks in data pipelines.
  • Engages with the Analytics and Insights Manager to ensure governed data enables insights generation.
  • Builds strong relationships with business stakeholders to drive governance adoption and accountability.
  • Navigates an evolving data culture and builds data literacy across business processes with a pragmatic change management approach.
  • Develops communication strategies to build buy-in and address resistance across technical and business communities.
• Data Protection & Compliance:
  • Oversees data protection and privacy compliance efforts in partnership with Legal and Compliance functions.
  • Ensures that governance frameworks address regulatory requirements (GDPR, CCPA, and industry-specific regulations)
  • Leads implementation of privacy by design and security by design principles across data initiatives
  • Establishes data access controls, data retention policies, and data breach response protocols.
  • Conducts compliance monitoring and reporting across governance domains.
  • Partners with Information Security on data security governance standards
• Other duties as assigned 

Supervision of Others: Direct supervision of data specialists.

Working Conditions: 95% of time is spent in the office environment, utilizing computers (frequent use of various Microsoft software/programs), phones, and general office equipment. 5% of time is spent outside of the office visiting vendors’ and/or internal customers’ sites in additional to attending various conferences and meetings.

Fiscal Responsibilities: may contribute to the departmental budget.

Education/Experience:

• Bachelor’s degree in computer science, Information Management, Business, or related field required, master’s degree in related field preferred.
• Professional certifications such as CDMP (Certified Data Management Professional), CDGP (Certified Data Governance Professional), or CIPP (Certified Information Privacy Professional) highly valued
• 8+ years in data management, with minimum 4 years in data governance leadership roles
• Proven experience establishing data governance programs from the ground up in organizations building foundational data capabilities.
• Demonstrated success managing and developing technical teams.
• Experience working with SAP Master Data Governance (MDG) systems.
• Background navigating complex stakeholder environments and driving adoption in resistant or change-averse cultures.
• Experience in regulated industries or organizations with complex data compliance requirements preferred.

Skills/Knowledge/Abilities:

• Deep expertise in data governance frameworks and methodologies (DAMA-DMBOK, DCAM, etc.)
• Strong knowledge of data protection regulations (GDPR, CCPA, PIPEDA) and compliance requirements
• Advanced understanding of master data management principles, practices, and technologies
• Expertise in data quality dimensions, measurement, and improvement methodologies
• Familiarity with data architecture concepts, metadata management, and data cataloging tools
• Knowledge of data modeling, data lineage, and business glossary management
• Strong people leadership skills with ability to mentor, coach, and develop diverse technical teams.
• Exceptional stakeholder management and influencing skills across all organizational levels.
• Proven ability to drive change in dynamic, ambiguous, and evolving environments.
• Excellent communication skills - able to translate complex technical concepts for varied business audiences.
• Strategic thinking balanced with pragmatic, execution-oriented approach.
• Collaborative mindset with ability to build effective peer relationships across Data Architecture, Data Product Management, Data Engineering, and Analytics functions.
• Resilience and adaptability when facing organizational resistance or setbacks.