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AI Transformation & Ops Innovation Manager

Job in Danvers, Essex County, Massachusetts, 01923, USA
Listing for: Bunzl
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Change Management, AI Engineer (Applied/Software), AI Business & Operations
Salary/Wage Range or Industry Benchmark: 120000 - 140000 USD Yearly USD 120000.00 140000.00 YEAR
Job Description & How to Apply Below

Job Category
:
General & Administrative

Requisition Number
: AITRA
021916

Locations

Showing 1 location

  • Pay or shift range: $120,000 USD to $140,000 USD

The salary range is based on a variety of factors, including experience, education, certifications and geographic location.

Description

McCue Corporation is a Bunzl company and the recognized global market leader in asset protection and people safety solutions, cart corrals, barrier systems, crash-rated bollards, and industrial safety products deployed across grocery, retail, warehouse, healthcare, QSR, and industrial environments.

The Manager, AI Transformation & Ops Innovation will work directly with managers across the business to identify opportunities to modernize the organization through AI and lead the successful implementation of those solutions.

Responsibilities:

  • AI Opportunity Discovery & Prioritization:
    Partner with managers across the company to map current processes and identify the highest-value AI modernization opportunities
  • Develop a company-wide AI improvement roadmap, sequenced by impact, feasibility, and strategic priority
  • Translate business problems into specific AI solutions—from workflow automation to predictive analytics to intelligent customer interaction

Teaching, Coaching & Building AI Confidence

  • Equip employees at all levels with the skills and confidence to use AI tools and models effectively in their day-to-day work
  • Identify specific ways AI can improve an employee’s daily work, remove friction, reduce repetitive tasks, and create time for higher-value activity
  • Develop AI literacy across all functions, ensuring the organization builds sustainable, distributed capability rather than relying on any single individual
  • Serve as a true change agent, guiding managers and teams from established, familiar ways of working to AI-enabled processes through a combination of empathy, patience, and a focus on measurable results
  • Address hesitation and resistance constructively by recognizing that concerns about job impact, limited familiarity with AI, and day-to-day operational pressures are legitimate barriers—and approaching them as challenges to solve collaboratively rather than obstacles to dismiss
  • Monitor adoption, measure outcomes, and continuously refine the transformation approach based on evidence of what is working, using early wins to build confidence and momentum across the organization

Hands-On AI Initiative Delivery

  • Lead the development of complex AI initiatives to include designing and refining sophisticated prompts and AI workflows that deliver reliable, high-quality outputs for specific business functions
  • Lead hands-on implementation of AI tools and process changes with each team; stay engaged through adoption and refinement

Major Initiative Resource Management

  • For complex AI transformations, identify and source the right external partners, vendors, and specialist resources — evaluating options with a clear-eyed view of fit, cost, and delivery risk
  • Manage external resources end-to-end; hold partners accountable to timelines, quality standards, and business outcomes that benefit the company and its customers
  • Ensure that major initiatives are implemented in ways that transfer knowledge internally to build lasting capability rather than ongoing dependency on outside support

Operational Focus Areas

This role carries depth across the following functions:

  • Operations: Operations & Manufacturing
  • Logistics: Logistics, Distribution & Supply Chain
  • Collaborate with Sales and Marketing on AI-powered tools including the ICP targeting system, lead scoring, pipeline analytics, and customer communication automation already in early deployment
  • Support initiatives with data infrastructure and analytics that underpin the company’s next-generation value proposition

Requirements:

  • High school diploma or GED equivalent required
  • Bachelor’s degree in business, Engineering, Operations, Computer Science, Data Science, or a related field
  • Demonstrated experience leading AI or digital transformation at an operations-intensive company — manufacturing, distribution, field services, industrial, or similar
  • Deep operational fluency: you understand procurement, logistics, scheduling,…
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