Associate Director, Enterprise Data Governance

Key Responsibilities

• Establish and evolve the enterprise data governance strategy, operating model, decision rights, and accountability framework necessary to manage data as a strategic business asset.
• Partner with business leaders to establish ownership, stewardship, and lifecycle management across critical data domains, including master data, transactional data, metadata, and unstructured data, ensuring clear accountability and sustainable governance practices.
• Define and implement enterprise standards for data quality, metadata, lineage, reference data, data classification, and controls to ensure trusted, secure, and consistent information across business processes, digital platforms, analytics environments, and AI applications.
• Establish and lead data governance council, stewardship discipline, and decision-making responsible for policy adoption, issue escalation, prioritization, risk mitigation, and cross-functional alignment on data-related decisions.
• Modernize enterprise data governance capabilities through effective use of SAP MDG and supporting technologies, workflows, and automation.
• Collaborate with AI governance, risk, compliance, privacy, and cybersecurity teams to define policies, controls, monitoring requirements, and governance practices that support responsible use of data in AI models, copilots, and AI agents.
• Collaborate with Product Managers, Analytics leaders, Process Owners, and Digital teams to prioritize and deliver data governance capabilities that drive measurable business outcomes and increase data reuse across the enterprise.
• Develop and execute a roadmap for enterprise data governance capabilities, balancing foundational investments with emerging business needs, regulatory requirements, and digital transformation priorities.
• Lead organizational change, communications, stewardship enablement, and governance adoption efforts that embed data accountability, governance awareness, and responsible AI practices into day-to-day operations.
• Measure and communicate the business value of data governance through improvements in data quality, process efficiency, compliance, decision-making, AI-readiness, and delivery of digital, analytics, and AI initiatives.

Required Qualifications

• Bachelor's degree in Information Systems, Data Management, Supply Chain Management, or equivalent educational experience.
• 10+ years of experience in information technology, data management, or digital transformation roles, with at least 5 years in a senior leadership role.

Preferred Qualifications

• Proven track record of defining and scaling enterprise data governance programs in complex organizations.
• Experience implementing federated data governance operating models that balance centralized standards with distributed business ownership.
• Experience establishing governance frameworks for data products, AI-ready data assets, semantic layers, business glossaries, data marketplaces, metadata management, or enterprise data catalog capabilities.
• Experience supporting AI, machine learning, generative AI, or agentic initiatives through data governance capabilities.
• Experience governing structured and unstructured data, including documents, knowledge repositories, and content used within AI and analytics ecosystems.
• Demonstrated success influencing cross-functional stakeholders without direct authority in complex global organizations.
• Extensive experience with SAP Master Data, including strong knowledge of SAP best practices; S/4HANA experience strongly preferred.
• Demonstrated understanding of modern data and analytics ecosystems, including cloud data platforms, metadata, lineage, data quality, BI, analytics, AI/ML, GenAI.
• Experience connecting operational data governance to analytical use cases, data products, business outcomes, and benefits realization.
• Deep understanding of end-to-end business processes across supply chain, commercial, finance, and manufacturing.
• Ability to translate complex data issues into clear executive choices, investment priorities, policies, and practical operating mechanisms.
• Demonstrated ability to lead global teams and influence senior business, digital, risk, and technology stakeholders in a multinational, matrixed organization.
• Strong change leadership, communication, negotiation, and stakeholder-management skills.
• Ability to manage budgets, prioritize investments, govern partners, and balance delivery speed with enterprise risk.

Additional information

We are committed to creating a diverse and inclusive workplace where all individuals are treated with respect and dignity. Employment decisions at FMC are based on business needs, job requirements, and individual qualifications. We value diversity and strive to ensure that our hiring and employment practices support a work environment that is free from discrimination and harassment.