Associate Director, Enterprise Data Governance

FMC Corporation•Philadelphia, PA

About The Position

FMC Corporation is seeking a strategic, forward-looking leader to establish, scale, and sustain enterprise data governance capabilities. The role will define the operating model, governance processes, stewardship framework, technology capabilities, and organizational accountability needed to manage data, metadata, and information assets as strategic business resources. It will build a trusted, reusable, AI-ready, business-owned data foundation across Integrated Supply Chain, Commercial, R&D, Finance, Procurement, Regulatory, and Manufacturing. As the enterprise leader for data governance, the Associate Director will enable business transformation, advanced analytics, generative AI, and agentic AI capabilities. Working closely with business and Digital leaders, this person will modernize governance practices, improve data quality and transparency, and support operational excellence, analytics, automation, and AI-enabled decision-making. The role requires cross-functional leadership, influence without authority, and a pragmatic balance between governance discipline and business agility. It reports to the Chief Digital Officer.

Requirements

Bachelor's degree in Information Systems, Data Management, Supply Chain Management, or equivalent educational experience.
At least 10 years of experience in information technology, data management, or digital transformation roles.
At least 5 years in a senior leadership role.
Ability to influence cross-functional stakeholders without direct authority.
Ability to translate complex data issues into clear executive choices, investment priorities, policies, and practical operating mechanisms.
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.

Nice To Haves

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 catalogs.
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 in AI and analytics ecosystems.
Demonstrated success influencing cross-functional stakeholders without direct authority in complex global organizations.
Extensive experience with SAP Master Data and strong knowledge of SAP best practices; S/4HANA experience is strongly preferred.
Demonstrated understanding of modern data and analytics ecosystems, including cloud data platforms, metadata, lineage, data quality, BI, analytics, AI/ML, and 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.

Responsibilities

Establish and evolve the enterprise data governance strategy, operating model, decision rights, and accountability framework.
Partner with business leaders to establish ownership, stewardship, and lifecycle management across master, transactional, metadata, and unstructured data domains.
Define and implement enterprise standards for data quality, metadata, lineage, reference data, classification, and controls.
Establish and lead the data governance council, stewardship discipline, and decision-making processes for policy adoption, issue escalation, prioritization, risk mitigation, and cross-functional alignment.
Modernize enterprise data governance capabilities through 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 practices for responsible data use in AI models, copilots, and AI agents.
Collaborate with Product Managers, Analytics leaders, Process Owners, and Digital teams to prioritize and deliver governance capabilities that produce measurable business outcomes and increase enterprise data reuse.
Develop and execute an enterprise data governance capabilities roadmap that balances foundational investments with business needs, regulatory requirements, and digital transformation priorities.
Lead organizational change, communications, stewardship enablement, and adoption efforts that embed data accountability, governance awareness, and responsible AI practices into daily operations.
Measure and communicate governance value through improvements in data quality, process efficiency, compliance, decision-making, AI readiness, and delivery of digital, analytics, and AI initiatives.