[Remote] Global Head of Analytics & AI

Note: The job is a remote job and is open to candidates in USA. ManpowerGroup is a global leader in workforce solutions, and they are seeking a Global Head of Analytics & AI to shape their data, analytics, and AI vision. This strategic leader will oversee global data governance and advanced analytics while driving data-driven decision-making and commercial performance across the organization.

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

Skills

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

Company Overview

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