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EDF power solutions North America · 1 week ago

Senior Manager - Data Governance [Hybrid]

San Diego, CA

Full-time

Hybrid

Senior Level, Lead/Staff

$133K/yr - $222K/yr

8+ years exp

EDF power solutions North America is a market-leading independent power producer and service provider focused on clean energy solutions. The Senior Manager - Data Governance will establish and lead the enterprise data governance function, designing governance frameworks and managing a team of data professionals to ensure data quality and compliance across the organization.

Renewables & Environment

Responsibilities

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

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

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

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

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

Qualification

Data Governance FrameworksMaster Data ManagementData Quality ManagementData Protection ComplianceSAP Master Data GovernanceData Architecture ConceptsStakeholder ManagementTeam LeadershipCommunication SkillsStrategic Thinking

Required

Bachelor's degree in computer science, Information Management, Business, or related field required

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

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