Global Director Market Data & AI

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ‘Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Global Director Market Data & AI Global Director Market Data & AI is a strategic leadership role with a dual mandate: globally, shaping market data as a critical enterprise asset, and locally, translating data and AI strategy into scalable business impact across multiple priority markets, with the U.S. and Canada as core markets.

This role is central to building a more predictive, connected, and insight-led commercial engine. The successful candidate will turn trusted market data into competitive advantage by enabling analytics, AI, and decision-making at global scale while ensuring business teams can act on harmonized, high-quality, and activation-ready data.

By combining global domain ownership with multi-market execution, this role bridges strategy and delivery. It ensures that enterprise standards are shaped by real market needs, while local initiatives benefit from scalable governance, reusable data products, and cross-market best practices.

As AI becomes a core operating layer for commercial decision-making, market data is evolving from reporting support into continuous commercial intelligence. This role will help shape that future by strengthening data foundations, improving governance, and enabling intelligent systems that support faster insight generation, better investment decisions, and scalable growth across markets.

YOUR TASKS AND RESPONSIBILITIES: Global Responsibilities:

• Define the global vision, roadmap, and success measures for market data, including acquisition, governance, activation, and value realization in partnership with Insights & Analytics, Marketing, Sales, Finance, IT, Procurement, and external data providers.
• Define and enforce global governance standards, taxonomies, data policies, and quality frameworks across the full data lifecycle — from ingestion to consumption — ensuring compliance with GDPR, data privacy, licensing terms, and applicable regulatory requirements in partnership with Legal and IT.
• Own the global market data quality and enrichment strategy, including standards, matching algorithms, and scoring models that keep profiles accurate, deduplicated, complete, and fit for activation and AI use.
• Partner with cross-functional teams—including Digital, Data, Technology, Customer & Commercial, Media, and Operating Units—to design global-to-local data flows, integration models, and activation strategies that connect structured and unstructured data across markets.
• Establish and coordinate a global network of Data Owners and Business Data Stewards, providing clear accountability, escalation paths, and decision-making forums across markets.
• Co-shape the Master Data Strategy, ensuring Market Data aligns with Product, Customer, and Consumer master domains — harmonizing market and channel definitions across providers and systems to enable downstream analytics and AI use cases.
• Ensure Market Data is AI-ready by design — with robust quality, consistent structures, documented lineage, compliant usage rights, and clear semantic standards — so data can reliably fuel analytics, automation, and intelligent action in collaboration with I&A Home, IT, Legal, and others.

Multi-Market Responsibilities:

• Define and execute a multi-market data and AI roadmap aligned with commercial priorities, with the U.S. and Canada as core markets and a focus on scalable, reusable data products, AI-enabled workflows, and measurable business outcomes.
• Translate global data domain strategies into effective market execution, capturing feedback from priority markets to continuously strengthen enterprise-wide strategy.
• Identify, prioritize, and lead data and AI initiatives that deliver measurable business value, including revenue growth, cost optimization, stronger consumer engagement, and faster commercial decision-making.
• Work backwards from priority market outcomes to redesign dat…