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 and deliver trusted, reusable, AI-ready, business-owned data across Integrated Supply Chain, Commercial, R&D, Finance, Procurement, Regulatory, and Manufacturing. The enterprise leader will establish data governance practices that enable business transformation, advanced analytics, generative AI, and agentic AI capabilities. Working closely with business and Digital leaders, the role will modernize governance, improve data quality and transparency, and build the trusted data foundation for operational excellence, analytics, automation, and AI-enabled decision-making. Reporting to the Chief Digital Officer, this role calls for strong cross-functional leadership, influence without authority, and a pragmatic balance between governance discipline and business agility. The leader will embed governance into business processes and decision-making so data is managed as a business asset that drives measurable value.

Requirements

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.
At least 5 years of experience in a senior leadership role.

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 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 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.
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.

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 critical data domains, including master, transactional, metadata, and unstructured data.
Define and implement enterprise standards for data quality, metadata, lineage, reference data, data classification, and controls across business processes, digital platforms, analytics environments, and AI applications.
Establish and lead the data governance council, stewardship discipline, and decision-making 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 governance practices for 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 governance capabilities that drive measurable business outcomes and increase enterprise data reuse.
Develop and execute a roadmap for enterprise data governance capabilities, balancing foundational investments with business needs, regulatory requirements, and digital transformation priorities.
Lead organizational change, communications, stewardship enablement, and governance adoption to 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.