Role Description

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.

Qualifications

• Master’s degree in business, Economics, Data Science, Statistics, or a related field; bachelor’s degree with equivalent experience also considered.
• Proven experience as a Business Data Domain Owner with end-to-end accountability for domain strategy, governance, data quality, priorities, and business alignment.
• Experience managing market data vendors, budgets, contract negotiations, provider consolidation, and license optimization.
• Experience defining and maintaining commercial data dictionaries, metadata, lineage, data caveats, and usage standards.
• Strong knowledge of data governance frameworks, data quality controls, and their practical application in large commercial organizations.
• Track record of translating business outcomes into analytics, automation, and AI use cases enabled by high-quality, well-structured, and compliant market data.
• Practical understanding of responsible AI principles, data privacy, third-party data usage rights, and governance requirements for compliant AI deployment.
• Experience partnering with IT, product, analytics, and business teams to integrate market data into enterprise platforms such as Snowflake, Azure, or Databricks, moving data and AI use cases from concept to scalable adoption.
• Demonstrated success leading data and AI initiatives from strategy to deployment and adoption, including value tracking, user enablement, and measurable impact on business outcomes.
• Experience with AI-enabled process redesign, including working backwards from business outcomes, defining data and workflow requirements, and supporting adoption across markets or business units.
• Ability to shape structured and unstructured data requirements, semantic definitions, metadata, and interpretation rules needed for analytics, automation, and AI-powered decision support.
• Strong knowledge of GDPR, third-party data usage rights, and license management in a regulated environment.
• Strong leadership, communication, and stakeholder management skills.
• Strong ability to lead human-centered transformation, helping teams understand how AI will augment work, reduce manual effort, and shift contribution toward higher-value activities.
• Fluent English required; additional languages (Spanish, Polish, German) are an asset.

Requirements

• 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.
• 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.

Benefits

• Employees can expect to be paid a salary between $173280- 259920.
• Additional compensation may include a bonus or commission (if relevant).
• Other benefits include health care, vision, dental, retirement, PTO, sick leave, etc.