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 retail4+ years of experience delivering AI/ML projects and managing cross-functional teams within Sales & Marketing domainsAt 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 impactAbility 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 valueStrong 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, 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 plusExcellent 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 opportunities and embed AI into core operations

Responsible AI Leadership: Ensure all initiatives comply with Mars’ Responsible AI Policy and data governance standards

Community Building: Foster a regional AI community of practice, sharing best practices, lessons learned, and success stories

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.

This is an office-based role with flexibility.

#AfroTech

#DDT

The base pay range for this position at commencement of employment is expected to be between the below range, 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 & general allowances (depending on the position and employee’s work schedule).  Subject to the terms and conditions of the applicable policies and plans then in effect, and depending on the position offered and the employee’s work schedule (i.e., part-time schedule), eligible employees are automatically enrolled in a 401(k) plan, are eligible to participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee’s eligible dependents and may be eligible to take up to 18 weeks of paid parental leave. Employees will also receive the following paid-time off (which may be prorated based on start date and the employee’s work schedule): 120 hours of vacation per year, paid sick time for eligible Associates of 100% pay continuation for a maximum of 40 hours per calendar year, and 12 paid holidays (equal to 96 paid holiday hours) throughout the calendar year that include both fixed and flexible holidays.  

Base Salary Range: $100,129.00 - $137,750.00 USD