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 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.

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 analystsProven 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 commercializationHands 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 useStrategic 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 skillsProficiency 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 frameworksWorking expertise of OpenAI Endpoints, Google Vertex, Google Model Garden and Microsoft Suite of AI Models.

What will be your key responsibilities?Serve as the key lead for Gen AI and LLM Ops in the Mars Snacking CommunityApplies strong expertise in AI through use of machine learning, data mining, and statistical models to design, prototype and build next generation ML engines and services Design, architect and review technical architecture of data science solutionsPlan and lead data science projects that cover a diverse range of business problemsServe as key point of contact with Data Engineering and DevOps teams, for solution architecture and infrastructure designReview work of team members identifying optimum methodologies, advising on implementation, and checking business logicUse machine learning techniques, visualizations, & statistical analysis to gain insight into various data sets – some readily available, and some you create and curate yourself Collaborate with internal and external teams to ensure we focus on product and service recommendations and be a key player in our network of talentContribute to a high performing data science function Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data productsPerformance Monitoring: Define key performance indicators (KPIs) and implement monitoring systems for deployed data platforms and products to ensure efficient operations data operations, effective support services and incident management.Solution ideation and Development: Guide a team of data scientists to create fit for purpose solutions using cutting edge analytical and AI methodologies.Focus on setting up a Data Science AI program and delivery methodology: Entails, recruiting and forming a team to solve a specific problem; elaborating on a programmatic mindset and tracking value delivery

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 company bonus.

#TBDDT

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.

USD 117,808.00 - USD 161,984.00