Job Level:

Job Description:

Chief Data Office (CDO) is a Mars Wrigley program that harnesses the power of data and insights to solve some of the critical businesswide 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 everevolving world of Generative AI. This role will lead Gen AI projects in planning and 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 handson when required and be able to guide the broader Data Science community through complex Gen AI and LLMOps projects.

What are we looking for

• 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 fastpaced 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 datadriven 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 handson experience in advanced analytics techniques and machine learning algorithms including NLP timeseries 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.

What will be your key responsibilities

What can you expect from Mars

• Work with diverse and talented Associates all guided by the Five Principles.
• Join a purpose driven company where were striving to build the world we want tomorrow today.
• Bestinclass learning and development support from day one including access to our inhouse Mars University.
• An industry competitive salary and benefits package including company bonus.

#TBDDT

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 jobrelated knowledge skills and experience.The total compensation package for this position mayalso 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 offeredand the employees work schedule (i.e. parttime schedule store associate). Details of participation in these benefit plans will be provided if an applicant receives an offer of employment.