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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 and executing the multiple markets with focus on US and Canada Data & AI strategy and a focus on scalable, reusable data products, AI-enabled workflows, and measurable business outcomes.

+ Translate global data domain strategies into effective execution in Focus markets US and Canada and provide market feedback to strengthen enterprise-wide direction.

+ Support NA data governance, management, and quality for customer and procured data assets, partnering with IT to implement frameworks that ensure quality, security, and compliance with US and Canadian regulations.

+ Collaborate with cross-functional stakeholders across Sales, Marketing, Medical, Digital Commerce, Supply Chain, Regulatory, and Customer Experience to translate data needs into actionable insights and data products.

+ Work closely with IT to enable scalable, secure, and accessible data platforms that align technical capabilities with Focus markets US and Canada business needs and the multi-market data roadmap.

+ Integrate process design, information architecture, data architecture, and user experience considerations to create intelligent, user-friendly workflows that can be deployed and continuously improved across priority markets.

+ Support cross-functional teams in Focus markets US and Canada by promoting a data-as-an-asset mindset, AI adoption, innovation, and continuous improvement, while serving as a senior data partner to commercial and functional leaders.

+ Manage day-to-day Focus markets US and Canada data priorities w, including vendor relationships, issue escalation, stakeholder requests, and reporting on data health and initiative progress.

WHO YOU ARE:

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

+ Master's degree in Business, Economics, Data Science, Information Management, or a related field, or a bachelor's degree with equivalent experience.

+ Proven experience as a Business Data Domain Owner with end-to-end accountability for domain strategy, governance, quality, priorities, and business alignment, ideally in customer or account data.

+ Deep knowledge of customer data ecosystems, master data, retailer hierarchies, distributor records, identity resolution, matching and deduplication, and third-party enrichment sources.

+ Strong knowledge of data governance frameworks, master data management principles, and golden record logic, with the ability to apply them in large commercial organizations operating across channels and markets.

+ Track record of enabling analytics and AI use cases through high-quality, well-structured, and compliant customer data, with an understanding of responsible AI principles.

+ AI-native mindset with strong curiosity, hands-on AI literacy and tool use, and the ability to identify, experiment with, and scale practical AI-enabled ways of working across data, analytics, and business...

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Global Consolidated Customer Data & AI Lead

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Global Consolidated Customer Data & AI Lead