AI Transformation & Ops Innovation Director

Bunzl Distribution NADanvers, MA

About The Position

The Director, 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.

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, customer service, and shopfloor or field operations well enough to design process improvements, not just recommend them
  • Demonstrated success partnering directly with frontline managers and operational teams to drive meaningful, on‑the‑ground results
  • Working knowledge with AI and automation tools: workflow automation platforms, AI-assisted analytics, LLM-based productivity tools, and data integration approaches-the ability to design and refine sophisticated prompts that produce reliable, business-grade outputs
  • Extensive experience sourcing, evaluating, and managing external vendors and specialized partners for large‑scale technology and transformation initiatives, ensuring accountability for measurable outcomes rather than merely completed deliverables
  • Strong project management capabilities, with a proven ability to lead multiple concurrent cross‑functional workstreams
  • High level of maturity and confidence necessary to interact with sophisticated internal and external clients
  • Strong leadership and customer service skills with the ability to ensure that a high level of service and quality is maintained
  • Product knowledge with clear technical understanding of services to be able to effectively communicate to customer
  • Outstanding attention to detail, flexibility and creativity
  • Persistence coupled with the ability to communicate effectively with individuals at all levels of the organization
  • Ability to exercise discretion and good judgment, work with minimal supervision and maintain confidentiality of shared information and/or assignments

Responsibilities

  • Partner with managers across 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
  • 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.
  • 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
  • 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 it’s customers
  • Ensure that major initiatives are implemented in ways that transfer knowledge internally to build lasting capability rather than ongoing dependency on outside support
  • 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

Benefits

  • competitive salaries
  • a comfortable work environment
  • a full range of benefits including a 401k with a company match
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