Sr. AI Lead (Gen AI)

Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical business-wide problems we face - unlocking quality growth and operational excellence.

Through CDO, we deliver connected insights across the entire Snacking ecosystem. We empower our Associates with the right data, tools and capabilities so they can take decisive action, maximizing value and making a meaningful impact on our consumers, our customers and our business.

This position will play a key role in leading the Mars Snacking ecosystem into the ever-evolving world of Generative AI. This role will lead Gen AI projects in planning and execution across varying types of use cases (creative and processionary). They will create and define frameworks, guidelines and standards to make sure that Mars Snacking is taking full advantage of this field.

They will also be expected to play hands-on when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects.

• 7+ years of experience working in a quantitative role preferably in the CPG, or retail industry.
• 4+ years of experience managing a team of data scientists, product analysts or data analysts
• Proven track record of delivering value through AI/ Data Science products in a fast-paced, agile environment using a scalable and reusable codebase and models to address business problems effectively.
• Partner with business leadership across functions to identify business challenges and opportunities and translate them unto actionable, integrated, data-driven solutions.
• An expert understanding of LLMs, ML Ops, LLM Ops and pertinent design architecture elements.
• An understanding of product management principles such as product definition, roadmap building and management, and product releases and commercialization
• Hands on experience in building Agents and leveraging emerging technologies within Microsoft and Google to design an agentic ecosystem.
• A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use
• Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities.
• Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics.
• Ability to translate business needs into analytical frameworks superior verbal and written communication skills
• Proficiency and hands-on experience in advanced analytics techniques and machine learning algorithms, including NLP, time-series analysis and other relevant methods and willingness to coach data scientists tactically
• Working understanding of ML Ops and DevOps frameworks
• Working expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models.

• 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.
• Best-in-class 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.

#TBDDT

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.