Global Head of Analytics & AI

Manpower

About The Position

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.

Requirements

Bachelor’s degree required, Master’s in Analytics, Data Science, IT, Economics, Finance, or related field preferred.
12+ years of progressive experience in BI, analytics, data science, or data strategy roles.
5+ years leading global or multi-region analytics teams within a matrixed enterprise.
Proven track record enabling revenue teams, supporting GTM strategy, and delivering insights that influence commercial and enterprise outcomes.
Advanced proficiency in BI tools (Power BI, Tableau, Qlik, Looker) and SQL-based environments.
Strong command of data modeling, cloud data platforms (Azure, AWS, GCP), and modern data stacks.
Experience with CRM analytics (Salesforce, Dynamics), marketing automation analytics, and pricing tools.
Expertise in machine learning, deep learning, NLP, statistical modeling, forecasting, and experimentation.
Experience implementing scalable MLOps or DevOps frameworks.
Executive-level communication with expertise simplifying complex analytics for non-technical audiences.
Systems thinker with strong strategic and commercial acumen. Ability to develop business cases.
Inclusive, collaborative leader who builds capability, drives alignment, and navigates global complexity, with complex, cross-functional program leadership experience.
Demonstrated ability to influence decisions at the C-suite and board levels.
Strong business acumen and experience of cross-functional partnership across Tech team, sales, product, marketing, customer, and finance teams.
Global mindset and experience operating in diverse cultural and regulatory environments.
Demonstrated change leadership supporting digital, commercial, or enterprise transformation.
Commitment to data ethics, responsible AI, and continuous improvement.
Enthusiastic and visionary: Strategic foresight to identify new business models, capture opportunities arising from technology and data advancements, deflect potential problems, and develop innovative, forward-facing capabilities that provide long-term competitive advantages.
Disruptive and agile: Confidence to bring up new ideas and uncomfortable subjects, and to counter “not-invented-here” or “not worth the effort” attitudes to drive transformative change while delivering value to the business quickly and often by applying a pragmatic approach.
Collaborative at heart: Willingness to serve as a “bridge builder” and facilitator to traverse divisional siloes, create synergies between business and technology functions, and align shared efforts to enable measurable business outcomes

Nice To Haves

Related experiences and exposures that could expedite performance in role.
Elements that can be developed over time to enable continued success

Responsibilities

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.
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.
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.
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.
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.
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.
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 narratives influencing senior leadership decisions.
Collaborate with operations and product teams to identify high-value AI/ML use cases and bring them to production.
Other accountabilities as assigned.