Global Head of Data Science, Analytics & AI

Aim of the Role

The Global Head of Data Science, Analytics & AI for Mars Snacking is a pivotal senior leadership role, joining at a time of transformation for the Segment following the recent acquisition of Kellanova. The role aims to shape and execute the Analytics & AI strategy, driving the development of leading digital products and capabilities.

Responsibilities

• Lead the development and application of the strategic vision for data science, analytics, and AI for the Snacking segment, partnering with functional, regional, and divisional leaders to deliver innovative and scalable solutions.
• Build, engage, and develop a high-performing global team of Data Science, Analytics & AI associates, establishing clear ways of working and accountabilities.
• Be the strategic partner of choice for the segment regions, functions & divisions by deeply understanding the business needs, identifying opportunities for scale and providing innovative solutions and recommendations.
• Support the regions, functions and divisions on the delivery of our integration priorities with purpose and pace.
• Ensure operational excellence and accelerate quality growth through the creation of advanced analytics and AI capabilities, such as SRM (Strategic Revenue Management) and Perfect Store, Perfect Service agentic tools.
• Establish a clear vision, strategy, and framework to ensure a consistent, scalable, and high-quality approach to Analytics & AI, ensuring value realization and adherence to governance and ethical practices.
• Elevate AI Literacy: Act as an accelerator and champion for AI maturity growth across the segment, elevating capabilities and sponsoring valuable experimentation and scale.
• Contribute to the architectural direction for analytics technology solutions and partner with internal IT and external partners to maximize the value derived from our technology platforms.
• Lead the research and evaluation of emerging skills, models, and market trends, bringing forward recommendations and solutions to achieve our long-term vision.

Requirements

• Bachelor’s degree required; Master’s degree or PhD in a quantitative field such as Computer Science, Data Science, Statistics, or a related discipline preferred.
• 12+ years of experience in the data and analytics space with at least 5 years in a senior leadership capacity managing large, technical teams.
• Proven experience in Product Management, specifically within the AI, Data Science, and Machine Learning domains.
• Strong stakeholder relationship management skills, with the ability to influence and collaborate with senior leaders across a large enterprise.
• Deep technical knowledge in Machine Learning, Data Science, and Computational Science.
• Demonstrated experience in AI strategy development and successful implementation.
• Experience managing vendor and partner relationships to drive innovation and execution.
• A strong understanding of User Experience (UX) principles in the context of AI and analytics products.
• Solid experience in business case development and feasibility assessment for technical projects.
• Ideal experience in a CPG or Retail environment.
• Experience working across leading technology platforms including GCP Gemini, Databricks, Azure, etc.

Qualifications

• Bachelor’s degree required; Master’s degree or PhD in a quantitative field such as Computer Science, Data Science, Statistics, or a related discipline preferred.
• 12+ years of experience in the data and analytics space with at least 5 years in a senior leadership capacity managing large, technical teams.
• Proven experience in Product Management, specifically within the AI, Data Science, and Machine Learning domains.
• Strong stakeholder relationship management skills, with the ability to influence and collaborate with senior leaders across a large enterprise.
• Deep technical knowledge in Machine Learning, Data Science, and Computational Science.
• Demonstrated experience in AI strategy development and successful implementation.
• Experience managing vendor and partner relationships to drive innovation and execution.
• A strong understanding of User Experience (UX) principles in the context of AI and analytics products.
• Solid experience in business case development and feasibility assessment for technical projects.
• Ideal experience in a CPG or Retail environment.
• Experience working across leading technology platforms including GCP Gemini, Databricks, Azure, etc.

Skills

• Leadership and strategic visioning.
• Technical expertise in Machine Learning, Data Science, and Computational Science.
• Stakeholder management and business partnership.
• AI strategy development and implementation.
• Team building and development.
• Business case development and feasibility assessment.
• Vendor and partner management.
• User Experience (UX) principles.
• Technology architecture and platform management.
• Emerging skills and market trend evaluation.

Benefits

• Industry competitive salary and benefits package, including company bonus.
• Medical and dental benefits.
• Participation in 401k plan.
• Paid time off benefits.

Pay Range

The base pay range for this position at commencement of employment is between USD 252,000.00 - USD 346,500.00.