AI Activation & Delivery Manager

Job Description:

As the AI Activation & Delivery Manager, you will orchestrate the full lifecycle of AI solutions—from initial concept, capability evaluation, and strategic activation to deployment and ongoing delivery. This hybrid role merges AI use case activation with agile delivery, acting as a critical link between business stakeholders and internal/external technical development teams. 

You will lead efforts to move beyond pilots into scalable, enterprise-wide solutions, while also educating and empowering leaders and product owners to adopt and champion AI in their domains. You will be at the forefront of deploying and scaling AI solutions that unlock new efficiencies, insights, and growth opportunities across our One Demand teams (Sales, Marketing, and Digital Commerce).  

The position requires strong leadership in managing AI teams (internal/external resources), partnering with external consulting providers that will develop scalable and high-quality AI solutions, and collaborating with business stakeholders to align analytics strategies with company objectives. The ideal candidate will have experience in AI, machine learning, and advanced analytics, with a strong understanding of agile delivery and product management principles. 

The opportunities in Generative AI and Agentic AI are both hugely exciting and rewarding connecting and deriving breakthrough insights from Mars’ rich data ecosystems, leveraging the rapidly evolving world of external AI capabilities to get closer to our customers and consumers than ever before, and unlocking efficiencies and automation across our end-to-end value chain. This is a chance to shape the future of how Mars Wrigley operates, competes, and innovates. 

What are we looking for? 

• Bachelor’s degree in computer science, Data Science, Engineering, Business, or related field (master’s preferred)  

• 7+ years of experience in AI, data science, or analytics roles, preferably in CPG or retail  

• 4+ years of experience delivering AI/ML projects and managing cross-functional teams within Sales & Marketing domains 

• At least 1–2 project experiences involving Generative AI and/or Agentic AI, including deploying AI agents, building multi-agent workflows, and fine-tuning LLMs with RAG or domain-specific data. 

• Proven ability to scale AI solutions from pilots to production with measurable business impact  

• Ability to evaluate emerging AI SaaS solutions for specific business use cases and provide clear, strategic recommendations on build vs. buy decisions, balancing speed, scalability, and long-term value 

• Strong technical expertise in:  

• Large Language Models (LLMs) and fine-tuning techniques 

• Retrieval-Augmented Generation (RAG) 

• AI agent frameworks (e.g., LangChain, AutoGen, Semantic Kernel) 

• Cloud-native data platforms (e.g., Azure Synapse, Data Factory) 

• Copilot integration for productivity and workflow enhancement  

• Unity Catalog for data governance, lineage,