Global Director Market Data & AI

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 data-enabled and AI-supported processes, ensuring that information flows, data connections, and decision points are practical for markets to adopt and scalable across product teams.

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.

Oversee governance, management, and quality for procured and internal data assets, partnering with IT, Legal, Privacy, and business stakeholders to ensure secure, compliant, and value-driven data usage.

Collaborate with global and market teams across Marketing, Sales, Supply Chain, Regulatory, Digital, Finance, and Commercial Excellence to understand business needs and translate them into actionable data capabilities.

Partner with IT to enable scalable, secure, and accessible data platforms that connect business requirements with technical delivery, support cross-market adoption, and enable responsive information flows from data source to business action.

Lead cross-functional working teams and human-centered change management, creating a clear vision for how AI will augment work, reduce manual effort, and help teams adopt new ways of working with confidence.