Sr. AI Lead (Gen AI)

Job Level:

Job Description:

This role is a project-based transformation role and has a current expected end date of ‘31st December 2026’. As we move closer to ‘31st December 2026’, we will work with you to explore other opportunities for employment within the Mars family of companies. If a suitable alternative role is not available at that time, your employment will end. Do you feel comfortable entering recruitment for this role, given that it is project-funded and would require you to secure your next full-time or promotional opportunity with Mars before December 31, 2026?

Join the Chief Data Office (CDO) at Mars, where we leverage data and insights to tackle critical business challenges and fuel growth within our Snacking division. This is your chance to lead the charge into the dynamic realm of Generative AI, spearheading innovative projects that encompass a wide range of use cases—from creative applications to process optimization.

In this pivotal role, you will engage with senior stakeholders at the VP level and present your insights to executives, crafting compelling narratives that highlight the business value of our Mar GPT initiatives. You will be instrumental in establishing frameworks, guidelines, and standards that empower our teams to fully harness the potential of Generative AI, driving significant efficiencies and innovation across the organization.

As a hands-on product owner, you will guide the broader Data Science community through complex Gen AI and LLMOps projects, ensuring successful planning and execution. Your expertise will be key in navigating the ever-evolving landscape of Generative AI, making a lasting impact on our Snacking ecosystem.

What are we looking for?

• Bachelor's Degree with a minimum of 5 years of experience required; Master's degree preferred.

• 7+ years of experience in a quantitative role, preferably within the CPG or retail industry.

• 4+ years of experience managing teams of data scientists, product analysts, or data analysts.

• Proven track record in delivering AI/Data Science products in fast-paced, agile environments.

• Expertise in LLMs, ML Ops, and relevant design architecture elements.

• Hands-on experience in building agents and leveraging emerging technologies within Microsoft and Google.

• Strong customer-centric mindset with a focus on value creation and adoption.

What will be your key responsibilities?

• Lead Innovation: Serve as the key lead for Gen AI and LLM Ops within the Mars Snacking Community, driving transformative projects that redefine how we leverage data.

• Design Next-Gen Solutions: Apply your strong expertise in AI to design, prototype, and build next-generation ML engines and services that will have a lasting impact on our business.

• Collaborate Across Functions: Work closely with Data Engineering and DevOps teams to architect solutions that meet diverse business needs, ensuring seamless integration and functionality.

• Mentor and Inspire: Guide and mentor a talented team of data scientists, fostering a culture of innovation and excellence while creating fit-for-purpose solutions using cutting-edge analytical methodologies.

• Drive Strategic Insights: Utilize machine learning techniques and visualizations to derive actionable insights from data, empowering decision-making at all levels of the organization.

• Performance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms, ensuring efficient operations and continuous improvement.

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.

• 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 a company bonus.

• Be part of a transformative journey that not only enhances your career but also contributes to the future of Mars Snacking and the broader industry.

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Skills:

Competencies:

The base pay range for this position at commencement of employment is expected to be between the range listed below, however, base pay offered may vary depending on multiple individualized factors, including but not limited to, market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, if eligible, including variable pay, medical and dental benefits, participation in 401k plan, and paid time off benefits.  Eligibility for these additional elements depend on the position offered and the employee’s work schedule (i.e., part-time schedule, store associate).  Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.