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.

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 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.

What
will be your key
responsibilities?

• Serve
  as the key lead for Gen AI and LLM Ops in the Mars Snacking
  Community
• Applies 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
  solutions
• Plan and lead data science projects
  that cover a diverse range of business
  problems
• Serve as key point of contact with
  Data Engineering and DevOps teams, for solution architecture and
  infrastructure design
• Review work of team
  members identifying optimum methodologies, advising on
  implementation, and checking business logic
• Use
  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
  talent
• Contribute to a high performing data
  science function
• Create repeatable,
  interpretable, dynamic and scalable models that are seamlessly
  incorporated into analytic data
  products
• Performance
  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

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.