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Global Consolidated Customer Data & AI Lead

Job in Trenton, Mercer County, New Jersey, 08628, USA
Listing for: Bayer
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Scientist
Salary/Wage Range or Industry Benchmark: 144160 - 216240 USD Yearly USD 144160.00 216240.00 YEAR
Job Description & How to Apply Below

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 Consolidated Customer Data & AI Lead

The Global Consolidated Customer Data & AI Lead is a strategic leadership role with a dual mandate: globally, shaping consolidated customer data as a critical enterprise asset, and locally, translating Data & 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 connected, trusted, and insight-led commercial engine. The successful candidate will turn harmonized customer data from Retailer & Omni - POS, trade systems, master data platforms, Category Management & Space Planning, and third-party providers into competitive advantage by enabling analytics, AI, omnichannel engagement, customer segmentation, and decision-making at global scale, while ensuring business teams can act on 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, data products, and governance frameworks are shaped by real market needs, while initiatives markets i.e. U.S. and Canada benefit from scalable governance, reusable customer data products, and cross-market best practices.

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

YOUR

TASKS AND RESPONSIBILITIES Global
  • Define the global vision, roadmap, and success measures for consolidated customer 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 consolidated customer 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 Customer Data aligns with Product, Market, and Consumer master domains — harmonizing market and channel definitions across providers and systems to enable downstream analytics and AI use cases.
  • Ensure Customer 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
  • Co-Shaping in defining…
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