AI Manager - Supply Chain

Information Technology: AI Manager - Supply Chain

About Tti

Techtronic Industries is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, and Floor Care for Do-It-Yourself (DIY), professional and industrial users in the home improvement, repair, maintenance, construction, and infrastructure industries. The Company is committed to accelerating the transformation of these industries through superior environmentally friendly cordless technology. At TTI Anderson, our brands RYOBI and Ridgid are recognized worldwide for their deep heritage and cordless product platforms of superior quality, outstanding performance, safety, productivity, and compelling innovation.

Job Summary

The IT AI Manager - Supply Chain identifies, develops, prioritizes, and executes AI initiatives across Supply Chain sub-functions (demand planning, supply planning and customer fulfillment) to create measurable business value. This role partners directly with Supply Chain leadership and functional stakeholders to understand opportunities, define requirements, maintain a supply chain AI roadmap, and deliver practical solutions such as AI agents, AI chatbots, predictive AI analytics, reporting, automation, and decision-support capabilities. The position combines supply chain domain expertise, analytical problem solving, technical curiosity, and strong communication skills to translate business needs into scalable AI-enabled solutions that improve forecasting, inventory management, replenishment, logistics, distribution operations, service levels, productivity, and overall operational performance.

Responsibilities / Skills

• Partners directly with Supply Chain leaders and functional stakeholders to identify, evaluate, prioritize, and execute AI opportunities that align to functional goals and measurable business outcomes. Please note – this is a business facing role.
• Develops, maintains, and manages the supply chain AI roadmap, including opportunity intake, prioritization criteria, delivery milestones, value assumptions, dependencies, and execution status.
• Designs, prototypes, tests, and deploys AI-enabled solutions such as AI agents, AI chatbots, forecasting tools, inventory analytics, automation workflows, reporting, and decision-support capabilities.
• Translates business problems into clear technical requirements by gathering stakeholder input, documenting use cases, defining success criteria, and clarifying expected business value.
• Uses SQL and related data tools to access, transform, validate, and prepare functional data needed for AI, analytics, reporting, forecasting, and predictive solutions.
• Collaborates with IT, data engineering, business optimization, security, governance, and functional stakeholders to ensure AI solutions are scalable, supportable, secure, and aligned to enterprise standards.
• Manages intake, qualification, prioritization, and execution tracking of AI opportunities within the assigned business function.
• Communicates project status, risks, requirements, demos, adoption expectations, and business impact clearly to technical and non-technical audiences, including leadership when needed.
• Tracks adoption, usage, outcomes, and value realization for delivered AI solutions and recommends enhancements to improve business impact over time.
• Creates documentation, training materials, quick reference guides, and support materials to help users understand and adopt AI-enabled tools and processes.
• Works both independently and as part of cross-functional teams to move AI initiatives from idea generation through execution while balancing multiple priorities.
• Continuously learns new AI tools, forecasting techniques, inventory optimization concepts, analytics capabilities, and development practices; tests emerging technologies and recommends practical applications for Supply Chain.
• Performs other related duties as assigned.

EXPECTED ALLOCATION OF TIME

• Project Intake/Requirements/Design: 10%
• AI Innovation Discovery: 10%
• AI Development & Execution: 40%
• Collaboration: 30%
• Project & Portfolio/Roadmap Management: 10%

• Supply Chain Expertise - ability to understand forecasting, inventory management, replenishment, supply planning, order management, logistics, distribution operations, service levels, and related supply chain processes. Ability to work day-to-day, in-person with supply chain resources is required.
• Problem Solving and Decision Making - under general guidance, ability to break down ambiguous supply chain problems and make effective decisions by evaluating business priorities, technical feasibility, stakeholder needs, and expected value.
• Stakeholder Partnership - ability to build credibility with supply chain partners, understand functional needs, manage expectations, gather feedback, and drive alignment around AI initiatives.
• Analytical AI Skills - ability to understand data, write and interpret SQL in conjunction with AI tools, evaluate supply chain data quality, build reporting logic, identify patterns, and translate insights into practical AI recommendations.
• Business Value Creation - ability to identify high-impact AI opportunities and connect solutions to measurable outcomes such as improved forecast accuracy, reduced inventory, higher service levels, lower costs, better productivity, and improved decision making.
• AI Leadership - strong interest in AI agents, chatbots, automation, predictive tools, reporting, optimization, and related technologies; willingness to learn quickly and apply new capabilities to supply chain problems.
• Solution Delivery - ability to move from problem identification to prototype, testing, deployment, documentation, and adoption while managing scope and execution details.
• Roadmap Ownership - ability to develop, maintain, and manage a supply chain AI roadmap that clearly shows prioritized opportunities, delivery sequencing, dependencies, and expected value.
• Communication Skills - ability to explain AI concepts, technical requirements, supply chain impacts, project updates, risks, and business value clearly to stakeholders with varying levels of technical knowledge.
• Collaboration and Independence - ability to work effectively alone or with cross-functional teams, balancing self-directed execution with strong teamwork and follow-through.

• Bachelor’s degree in supply chain, data analytics, business analytics, business, or related discipline is required.
• Experience supporting supply chain planning, demand/supply forecasting, replenishment, order management, inventory management, logistics, distribution, or related operational functions.
• Experience building AI tools/solutions that impact direct supply chain functions (demand planning, supply planning, and customer fulfillment) is required.
• Experience or demonstrated interest in AI, analytics, reporting, automation, digital transformation, predictive analytics, or business process improvement.
• Familiarity with SQL and the ability to write, troubleshoot, or learn queries used for AI reporting, analytics, data validation, and data preparation.
• Familiarity with AI reporting, dashboards, data models, measures, or related business intelligence concepts.
• Familiarity with AI agents, AI chatbots, generative AI tools, predictive analytics, prompt engineering, optimization, or automation concepts strongly preferred; willingness to learn is essential.
• Experience with Snowflake, Python, semantic models, APIs, workflow automation, or software development concepts preferred.
• Ability to partner directly with Supply Chain stakeholders, gather requirements, clarify needs, and convert business problems into practical technical solutions.
• Strong verbal and written communication skills with the ability to manage multiple priorities and perform well under pressure.
• Ability to work independently and as an integral part of a cross-functional team.

• Ability to travel (post-COVID) up to 10%. It is anticipated this position will travel 0-10%