Global Head of Data Science, Analytics & AI Strategy

Mars

Chicago (IL)

On-site

USD 252,000 - 347,000

Full time

3 days ago

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Benefits offered by this job

Company bonus

Mars University access

Competitive benefits

Job summary

Mars Snacking seeks a visionary Global Head of Data Science, Analytics & AI to shape the segment's analytics strategy and power AI-enabled growth across its expanded portfolio. You will lead a global team, establish governance and a scalable platform, partner with senior leaders, and deliver innovative data products using platforms like GCP Gemini, Databricks and Azure.

The role requires 12+ years in data and analytics with 5+ in senior leadership, plus strong product management in AI/ML and a

Qualifications

Bachelor's degree required; Master’s or PhD in a quantitative field 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 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.