Associate Director, Enterprise Data Governance (AI)

Location: Philadelphia, Pennsylvania, United States of America; hybrid

Company

hirify.global Corporation is a global agricultural sciences company developing crop protection technologies to improve agricultural productivity and resilience.

What you will do

• Establish and evolve the enterprise data governance strategy, operating model, decision rights, and accountability framework.
• Define ownership, stewardship, lifecycle management, and governance standards for master, transactional, metadata, unstructured, reference, and classified data.
• Lead the data governance council and stewardship discipline, including policy adoption, issue escalation, prioritization, risk mitigation, and cross-functional decisions.
• Modernize governance capabilities through SAP MDG, supporting technologies, workflows, and automation.
• Partner with AI governance, risk, compliance, privacy, cybersecurity, Product, Analytics, Process, and Digital teams to enable responsible AI and measurable business outcomes.
• Build the governance roadmap, lead organizational change and adoption, and measure improvements in data quality, efficiency, compliance, decision-making, and AI readiness.

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, including at least 5 years in a senior leadership role.

Nice to have

• Experience defining and scaling enterprise data governance programs and federated operating models in complex, global, matrixed organizations.
• Experience with data products, AI-ready data assets, semantic layers, business glossaries, data marketplaces, metadata management, and enterprise data catalogs.
• Experience supporting AI, machine learning, generative AI, or agentic initiatives and governing structured and unstructured data used in analytics and AI ecosystems.
• Extensive SAP Master Data experience, strong knowledge of SAP best practices, and preferably S/4HANA experience.
• Understanding of cloud data platforms, metadata, lineage, data quality, BI, analytics, AI/ML, and GenAI, including connections to business outcomes and benefits realization.
• Deep understanding of end-to-end supply chain, commercial, finance, and manufacturing processes.
• Ability to translate complex data issues into executive choices, investment priorities, policies, and practical operating mechanisms.
• Strong change leadership, communication, negotiation, stakeholder-management, budgeting, investment-prioritization, and partner-governance skills.

Culture & Benefits

• Work in a global agricultural sciences organization focused on innovation, integrity, safety, respect, and results.
• Collaborate across business, Digital, risk, technology, and global functional teams.
• Support an inclusive workplace committed to equal opportunity and freedom from discrimination and harassment.