Senior Level Head of Data Jobs
Senior level head of data jobs place experienced professionals in strategic ownership of enterprise data direction, cross-functional initiatives, and the teams that build and maintain the systems behind business-critical decisions. Roles concentrate in Banking & Financial Services, Food & Beverage, and Accounting & Auditing, with a mix of on-site, remote, and hybrid settings, and employers like Mars, Gusto, and 6sense hiring at this level now.
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Showing 5 of 8+ Senior Level Head of Data jobs
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.
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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Who's Hiring
Top Industries Hiring
- Banking & Financial Services
- Food & Beverage
- Accounting & Auditing
- Technology & Software
- Healthcare & Medical Services
Senior Level Head of Data Jobs: Frequently Asked Questions
How do I get a senior level head of data job?
Employers at this level look for candidates who have owned end-to-end data strategy, not just contributed to it. Demonstrating that you have set data governance standards, built or scaled data teams, and translated analytical output into measurable business outcomes gives you the clearest edge. A portfolio of cross-functional leadership, combined with depth in modern data stack architecture, signals readiness for senior responsibility.
Which companies hire senior level head of datas?
Companies hiring senior level head of datas right now include Mars, Gusto, and 6sense, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate in organizations mature enough to have dedicated data functions, including large enterprises, high-growth technology companies, and data-intensive firms in finance and healthcare.
Are there remote senior level head of data jobs?
Yes, though availability varies by employer and industry. About 14% of senior level head of data openings are remote or hybrid as of November 2026, reflecting strong demand for experienced data leaders who can operate effectively across distributed teams. On-site roles do exist, particularly in regulated industries or organizations building out new data functions.
What makes a head of data role senior level?
Senior level head of data roles are defined by strategic ownership rather than execution. You are expected to set the data vision, establish governance frameworks, align data priorities with executive leadership, and mentor mid-level analysts and engineers. The scope extends beyond individual projects to shaping how the entire organization thinks about and uses data to drive decisions.
Which industries hire the most senior level head of datas?
Senior Level head of data roles concentrate in Banking & Financial Services, Food & Beverage, and Accounting & Auditing, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because their competitive advantage depends directly on the ability to manage large, complex data ecosystems and translate analytical capability into strategic and operational decisions.