Global Head of Analytics & AI

This is a strategic, enterprise-wide leader responsible for shaping the global data, analytics and AI vision that will unlock the value of data for the entire organization, accelerating commercial performance, strengthening clients & talents engagement, enabling new monetization opportunities, and supporting high-quality, data-driven decision-making. This leader oversees global data governance, advanced analytics, BI/visualization, data science, and AI, while ensuring insights consistently translate into measurable business outcomes, around the world and across all business units.

Key Accountabilities, Responsibilities

Strategic Leadership & Vision

-    Develop and lead a unified global BI, data science, AI, and analytics strategy aligned to long-term commercial, talent engagement, and operational objectives.

-    Partner with the C-suite and senior commercial, brand, and function leaders to translate strategic priorities into actionable analytics roadmaps.

-    Drive the transformation of analytics maturity across the end-to-end business flow from business insights, through delivery, including marketing, sales & recruitment funnels, etc.

-    Advise executive leadership on emerging AI/ML capabilities, industry trends, and strategic opportunities and ensure the group meets/leads industry best practices.

-    Champion a global culture of data-driven decision-making & innovation.

Commercial Insight & Performance Intelligence

-    Oversee enterprise dashboards and scorecards covering revenue, pipeline health, commercial productivity, marketing ROI, customer experience, and market trends.

-    Enable sales and revenue-generating teams with insights that optimize targeting, conversion, retention, and account expansion.

-    Lead development of advanced analytics, including customer segmentation, predictive forecasting, propensity models, pricing elasticity, marketing attribution, and client & talent lifetime value.

-    Partner with global sales operations, brands & countries to optimize & align performance reporting, territory design insights, and incentive analytics.

Technology & Data Ecosystem Leadership

-    Own and optimize the commercial BI technology stack in close partnership with the Technology Team (Power BI, SQL, CRM analytics, marketing analytics platforms).

-    Partner with Data Engineering/IT to maintain scalable, high-quality commercial and enterprise data architecture across CRM, ERP, digital platforms, and market data sources.

-    Evaluate and embed emerging technologies, including AI/ML, generative analytics, automation, and experimentation platforms, into enterprise workflows.

Data Governance, Stewardship & Ethics

-    Manage data as a strategic asset and operationalize data governance, data quality, and other controls to sustain the integrity of the data in the group.

-    Develop data procedures and policies, and work closely with various departments to collect, prepare, organize, protect, and analyze data assets while ensuring that the company meets industry's best practices.

-    Ensure that data is democratized and available for all, works to remove silos of data and ensure that the data is properly curated to deliver value added services.

-    Execute data privacy policies and complying with data protection regulations (GDPR, CCPA, China PIPL, Brazil LGPD, and others) in close partnership with Technology, Risk, and Security & Privacy teams.

-    Establish and maintain analytic standards, documentation, and responsible AI practices, aligning with the Office of the CIO

-    Champion ethical AI use and model transparency across the lifecycle.

Operational Excellence

-    Implement scalable, modern data practices (cloud analytics, MLOps, experimentation frameworks, metadata management).

-    Standardize reporting, dashboards, and predictive models to ensure clarity, consistency, and adoption.

-    Oversee portfolio management for analytics initiatives, ensuring measurable value, speed, and alignment to enterprise priorities.

-    Foster innovation leveraging emerging Big Data and analytics technologies.

Leadership of Analytics Talent & Global Community

-    Build, lead, and mentor a global team of BI developers, data scientists, analytics translators, and insight partners.

-    Foster a culture of experimentation, continuous learning, and responsible innovation.

-    Establish and lead a global analytics community of practice, encouraging best practice sharing across functions and regions and driving adoption & consistency.

-    Partner with HR to attract, develop, and retain top analytics and data science talent.

Cross-Functional & Regional Partnership

-    Serve as the primary analytics advisor to Brands, Operations, and Functions, including Global Sales, Marketing, Product, Finance, and Customer Experience leadership.

-    Build trusted relationships with regional commercial leaders to align insights and analytics with local market dynamics.

-    Translate complex analytics into simple, compelling, and actionable…