Senior Level Head of Analytics Jobs
Senior level head of analytics jobs place experienced professionals in charge of analytics strategy, data governance, and the teams and initiatives that turn insights into measurable business outcomes. Openings are concentrated across Food & Beverage, Technology & Software, and Banking & Financial Services, with a mix of on-site, remote, and hybrid settings, and employers like Mars, Gusto, and SentiLink hiring at this level now.
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The Global Head of Data Science, Analytics & AI for Mars Snacking is a pivotal senior leadership role, that will be joining at a time of transformation for the Segment, following the recent acquisition of Kellanova. We are seeking a visionary leader to shape and execute our segment's Analytics & AI strategy. Reporting to the SVP Chief Data & Analytics Officer, and a member of the CDAO leadership team, you will be instrumental in powering our strategic priorities delivering leading digital products and capabilities, developing the governance & frameworks for how we lead in this space, and building a best-in-class team. Mars Snacking is at the start of a hugely exciting journey, integrating two incredibly successful organizations with exciting and category leading brands. This position requires a leader who can innovate, excite, and help shape our future; ensuring data, analytics, and AI are core enablers of our growth across a newly expanded portfolio. As a key member of the CDAO leadership team, you will be responsible for co-creating a vision and strategy that will help steer the organisation through complexity and change, keeping a sharp focus on value creation and a winning culture.
BASIC 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.
- Ideally experience in a CPG or Retail environment.
- Experience working across leading technology platforms including GCP Gemini, Databricks, Azure, etc.
Responsibilities
- AI Strategy & Vision: 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.
- Team Leadership: Build, engage, and develop a high-performing global team of Data Science, Analytics & AI associates, establishing clear ways of working and accountabilities.
- Stakeholder Management / Business Partnership: 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.
- Deliver Business Value: Support the regions, functions and divisions on the delivery of our integration priorities with purpose and pace.
- Operational Excellence: 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.
- Capability & Governance: 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.
- Technology & Architecture: 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.
- Innovation & Research: Lead the research and evaluation of emerging skills, models, and market trends, bringing forward recommendations and solutions to achieve our long-term vision.
WHAT CAN YOU EXPECT FROM MARS?
- Work with diverse and talented Associates, all guided by the Five Principles.
- Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
- A strong focus on learning and development support from day one, including access to our in-house Mars University.
- An industry competitive salary and benefits package, including company bonus.
INTRODUCTION
The Global Head of Data Science, Analytics & AI for Mars Snacking is a pivotal senior leadership role, that will be joining at a time of transformation for the Segment, following the recent acquisition of Kellanova. We are seeking a visionary leader to shape and execute our segment's Analytics & AI strategy. Reporting to the SVP Chief Data & Analytics Officer, and a member of the CDAO leadership team, you will be instrumental in powering our strategic priorities delivering leading digital products and capabilities, developing the governance & frameworks for how we lead in this space, and building a best-in-class team. Mars Snacking is at the start of a hugely exciting journey, integrating two incredibly successful organizations with exciting and category leading brands. This position requires a leader who can innovate, excite, and help shape our future; ensuring data, analytics, and AI are core enablers of our growth across a newly expanded portfolio. As a key member of the CDAO leadership team, you will be responsible for co-creating a vision and strategy that will help steer the organisation through complexity and change, keeping a sharp focus on value creation and a winning culture.
BASIC 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.
- Ideally experience in a CPG or Retail environment.
- Experience working across leading technology platforms including GCP Gemini, Databricks, Azure, etc.
Responsibilities
- AI Strategy & Vision: 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.
- Team Leadership: Build, engage, and develop a high-performing global team of Data Science, Analytics & AI associates, establishing clear ways of working and accountabilities.
- Stakeholder Management / Business Partnership: 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.
- Deliver Business Value: Support the regions, functions and divisions on the delivery of our integration priorities with purpose and pace.
- Operational Excellence: 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.
- Capability & Governance: 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.
- Technology & Architecture: 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.
- Innovation & Research: Lead the research and evaluation of emerging skills, models, and market trends, bringing forward recommendations and solutions to achieve our long-term vision.
WHAT CAN YOU EXPECT FROM MARS?
- Work with diverse and talented Associates, all guided by the Five Principles.
- Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.
- A strong focus on learning and development support from day one, including access to our in-house Mars University.
- An industry competitive salary and benefits package, including company bonus.
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Top Industries Hiring
- Food & Beverage
- Technology & Software
- Banking & Financial Services
- Biotechnology & Pharmaceuticals
Senior Level Head of Analytics Jobs: Frequently Asked Questions
How do I get a senior level head of analytics job?
Employers at this level look for candidates who have led analytics functions end-to-end, not just contributed to them. A strong portfolio of business impact, experience managing or mentoring analysts, and fluency in both technical tools and executive communication give candidates the clearest edge. Demonstrated ownership of data strategy, roadmap decisions, and cross-functional alignment sets senior applicants apart from those with strong individual-contributor backgrounds.
Which companies hire senior level head of analyticss?
Companies hiring senior level head of analyticss right now include Mars, Gusto, and SentiLink, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from organizations large enough to have dedicated analytics functions, including enterprise technology firms, financial services companies, healthcare systems, and growth-stage companies scaling their data operations.
Are there remote senior level head of analytics jobs?
Yes, though availability varies by employer and industry. About 50% of senior level head of analytics openings are remote or hybrid as of November 2026, reflecting the continued demand for analytics leaders who can operate effectively across distributed teams. On-site roles do still exist, particularly at organizations where analytics work is tightly integrated with in-person operations or where the role carries executive visibility.
What makes a head of analytics role senior level?
Senior level head of analytics roles are defined by strategic ownership rather than execution alone. The scope typically includes setting the analytics roadmap, owning the team structure and talent development, and aligning data initiatives with business priorities. Technical depth matters, but so does the ability to influence decisions at the leadership level. Mentoring analysts, managing stakeholder relationships, and translating complex findings into actionable direction are all core expectations at this stage.
Which industries hire the most senior level head of analyticss?
Senior level head of analytics roles concentrate in Food & Beverage, Technology & Software, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. These sectors tend to generate the highest demand because they operate on large, complex datasets where dedicated analytics leadership has a direct and measurable effect on revenue, risk, or operational efficiency.