Sr. Manager, Supply Chain Steward AI

Stanley Black & Decker, Inc.•Towson, MD
•$95,600 - $153,900•Hybrid

About The Position

As a Sr. Manager, Supply Chain AI Steward within Data & Analytics, you will play a key role in executing and scaling AI capabilities across Supply Chain. Working in a hybrid environment, you will act as the primary bridge between business users and IT, translating operational needs into practical AI-enabled solutions. Operating within the strategic direction and integrated roadmap, this role is responsible for identifying high-value use cases, designing and developing intelligent agents, and driving adoption of AI capabilities across planning, analytics, and decision-support processes.

Requirements

  • Bachelor’s degree in computer science, engineering, supply chain, information systems, analytics, or a related field.
  • 6+ years of experience in supply chain analytics, data & analytics, digital product management, AI/automation, or related roles.
  • 2+ years of experience developing, configuring, or enabling AI agents, machine learning and/or workflow-based automation solutions.
  • Experience in Supply Chain Planning and strong understanding of supply chain processes, decision points, and operational workflows.
  • Experience leading cross-functional projects and influencing stakeholders across business and IT organizations.
  • Experience translating business needs into technical requirements, product roadmaps, and scalable digital or analytics solutions.
  • Proficiency in data and analytics concepts including data pipelines, semantic models, data quality, and integration design.
  • Strong analytical skills and attention to detail, with the ability to evaluate complex scenarios and make sound decisions in ambiguous environments.
  • Ability to balance strategic thinking with hands-on execution and rapid experimentation.
  • Strong communication skills, with the ability to serve as a translator between technical teams and business stakeholders.
  • Experience mentoring analysts and leading matrixed teams, contractors, or external partners.
  • Initiative, resilience, and willingness to challenge the status quo to drive meaningful outcomes.
  • Comfortable with ambiguity and able to create structure, priorities, and momentum in evolving spaces.

Nice To Haves

  • Familiarity with enterprise AI and analytics platforms such as Kinaxis, Microsoft Copilot, Zenlytic, MCP, Microsoft Foundry, Power BI, Snowflake, Tableau, Alteryx, SQL, Python strongly preferred.

Responsibilities

  • Lead Supply Chain AI strategy execution and use case delivery
  • Partner with Supply Chain leaders, functional experts, and IT to identify, prioritize, and deliver high-value AI use cases aligned to business strategy.
  • Serve as the primary interface between business users and technical teams for AI capability development across platforms such as Kinaxis, Microsoft Copilot Studio, Zenlytic, MCP, and Microsoft Foundry.
  • Translate business problems into AI product requirements, user stories, workflows, and governance needs.
  • Oversee multiple cross-functional, high-visibility initiatives with diverse stakeholders and limited oversight.
  • Drive experimentation, prototyping, and scaling of AI-enabled solutions that improve planning, decision-making, productivity, and operational visibility.
  • Build and steward AI agents and intelligent workflows
  • Design, configure, test, and continuously improve AI agents and copilots that support Supply Chain planning, analytics, and business processes.
  • Act as a hands-on maker and developer of agents, combining business process knowledge with technical fluency to create practical, user-centered solutions.
  • Define agent behaviors, prompts, workflows, integrations, escalation paths, and success metrics to ensure solutions are reliable, useful, and scalable.
  • Partner with IT and enterprise platform teams to enable secure integrations, data access, orchestration, and deployment of AI capabilities.
  • Evaluate emerging AI tools and patterns to determine fit-for-purpose applications within the Supply Chain ecosystem.
  • Establish governance, adoption, and responsible AI practices
  • Help define standards, guardrails, and governance for AI development and usage within Supply Chain, including data quality, security, compliance, and human-in-the-loop decision processes.
  • Ensure AI initiatives remain aligned with approved roadmaps, investment priorities, governance standards, and platform strategies
  • Develop repeatable processes for intake, prioritization, testing, deployment, monitoring, and continuous improvement of AI use cases and agents.
  • Partner with business and technical stakeholders to improve data readiness, data availability, and process consistency required for AI success.
  • Monitor solution performance, user adoption, and business outcomes, using insights to refine roadmaps and investment priorities.
  • Enable data-driven decisions and organizational capability
  • Lead development of AI-enhanced dashboards, insights, and decision-support tools that improve visibility and streamline operations.
  • Provide strategic and ad hoc analysis to support Supply Chain leadership and transformation initiatives.
  • Mentor analysts, product owners, and business partners in AI literacy, use case framing, and adoption of new tools and ways of working.
  • Break down work for team members, contractors, and technical partners, ensuring priorities are clear and outcomes are delivered across multiple projects.
  • Foster a culture of innovation, experimentation, continuous learning, and practical value creation.
  • Lead analytics development and insight delivery
  • Lead the development of dashboards, reports, and business-facing analytics solutions using Power BI and Zenlytic.
  • Partner with stakeholders to define KPIs, metrics, and reporting needs that support Supply Chain planning and operations.
  • Improve access to trusted, actionable insights through scalable, user-friendly, and well-governed analytics products.
  • Identify opportunities to integrate analytics solutions with AI agents and copilots to streamline decision-making and business workflows.

Benefits

  • Medical, dental, life, vision, disability, 401(k), Employee Stock Purchase Plan, paid time off, and tuition reimbursement in addition to programs & benefits in support of your well-being.
  • Discounts on Stanley Black & Decker tools and other partner programs.
  • Access to a wealth of learning resources, including our digital learning portal.
  • Competitive salary and a comprehensive benefits plan that includes medical, dental, life, vision, wellness program, disability, retirement benefits, Employee Stock Purchase Plan, Paid Time Off, including paid vacation, holidays & personal days, and tuition reimbursement.
  • Discounts on Stanley Black & Decker tools and products and well as discount programs for many other vendors and partners.
  • Access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities).
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service