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AI Activation & Delivery Manager

Job in Newark, Essex County, New Jersey, 07175, USA
Listing for: Mars, Incorporated and its Affiliates
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Description:

An AI Activation & Delivery Manager orchestrates 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 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 opportunities in Generative AI and Agentic AI are both hugely exciting and rewarding connecting and deriving breakthrough insights from Mars Wrigley’s 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., Lang Chain, Auto Gen, 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, and access control in Databricks environments;
    Visualization and BI tools (e.g., Power BI, Tableau)

  • Agile delivery certifications (e.g., Scrum, SAFe, Six Sigma) and change management (e.g., PROSCI) are a plus

  • Excellent communication, stakeholder management, and problem-solving skills

What will be your key responsibilities?
  • AI Solution Delivery
    :
    Manage end-to-end execution of AI initiatives across MWNA, ensuring timely delivery, business alignment, and measurable impact

  • Strategy to Meaningful Activation
    :
    Translate Mars Wrigley’s AI strategy into executable roadmaps and activate AI solutions that transform business operations

  • AI-fication of E2E Processes
    :
    Ensure identified AI opportunities is embeded across end-to-end Sales & Marketing business processes, driving automation, intelligence, and efficiency

  • ROI Tracking
    :
    Monitor project performance, track KPIs, and report on the impact of AI initiatives to ensure continuous improvement and business value realization

  • Technical Leadership
    :
    Provide guidance on technical architecture, work with engineering teams to align with roadmaps, and ensure solutions are robust and scalable.

  • GenAI & Agentic AI Integration
    :
    Explore and deploy GenAI and AI agent technologies to automate complex workflows, enhance decision-making, and improve user experiences

  • Capability Exploration
    :
    Continuously monitor the external AI landscape to identify emerging technologies—including multi-agent systems, autonomous reasoning, and tool-chaining—and assess their relevance for Mars Wrigley

  • Education & Enablement
    :
    Design and deliver learning programs for business leaders, product owners, and teams to build AI fluency and confidence

  • Stakeholder Engagement
    :
    Partner with sales and marketing teams to identify…

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