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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 ensure Mars Snacking is leveraging this field effectively.
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.
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 ensure Mars Snacking is leveraging this field effectively.
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 analysts.
* Proven track record of delivering value through AI/Data Science products in a fast-paced, agile environment using scalable and reusable codebases and models.
* Partner with business leadership across functions to identify challenges and opportunities and translate them into actionable, data-driven solutions.
* Expertise in LLMs, ML Ops, LLM Ops, and relevant design architecture elements.
* Understanding of product management principles such as product definition, roadmap building, and commercialization.
* Hands-on experience in building Agents and leveraging emerging technologies within Microsoft and Google ecosystems.
* Strong customer-centric mindset to drive value creation, adoption, and use.
* Strategic thinking, problem solving, and innovation skills.
* Ability to tailor methodologies to specific use case needs such as ML, AI, and analytics.
* Excellent communication skills, both verbal and written.
* Proficiency in advanced analytics techniques and machine learning algorithms, including NLP and time-series analysis.
* Knowledge of ML Ops and DevOps frameworks.
* Experience with OpenAI Endpoints, Google Vertex, Google Model Garden, and Microsoft AI Models.
Key Responsibilities:
* Lead Gen AI and LLM Ops initiatives within the Mars Snacking community.
* Design, prototype, and build next-generation ML engines and services.
* Architect and review technical solutions for data science projects.
* Manage data science projects addressing diverse business problems.
* Collaborate with Data Engineering and DevOps teams for solution architecture.
* Mentor team members on methodologies and business logic.
* Use machine learning, visualization, and statistical analysis to extract insights.
* Work with internal and external teams to focus on product and service recommendations.
* Contribute to a high-performing data science team.
* Create scalable, interpretable models integrated into data products.
* Performance Monitoring: Define KPIs and implement monitoring systems for deployed solutions.
* Solution Development: Guide data scientists in creating fit-for-purpose solutions.
* Program Setup: Build a Data Science AI program, recruit, and track value delivery.
What can you expect from Mars?
* Work with diverse, talented Associates guided by the Five Principles.
* Join a purpose-driven company striving to build a better tomorrow.
* Access to top-tier learning and development resources, including Mars University.
* Competitive salary and benefits, including bonuses.
#TBDDT
Mars is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Assistance or accommodations are available upon request for applicants with disabilities.
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