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About This Role
Sr. Manager, Supply Chain Steward AI-Hybrid
Charlotte, NC or Towson, MD
It takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who Make The World™. Sound like you? Join our top-notch team of approximately 43,500 diverse and high-performing professionals globally who are making their mark on some of the world’s most beloved brands, including DEWALT®, BLACK+DECKER®, CRAFTSMAN®, STANLEY®, CUB CADET®, and HUSTLER®.
The Job:
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.
You’ll get to:
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.
The Person:
You are energized by learning, building, and leading through change. You are comfortable operating at the intersection of business, data, and technology, and you know how to turn emerging AI capabilities into real business value. You are equally comfortable discussing planning workflows with business users, defining requirements with IT, and rolling up your sleeves to prototype or configure intelligent solutions. You bring strong judgment, curiosity, and a pragmatic mindset to innovation.
You also have:
· 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.
· 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.
· 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.
The Details:
You’ll receive a competitive salary and a great benefits plan, including:
- 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.
And More:
We want our company to be a place you’ll want to be – and stay. Being part of our team means you’ll get to:
- Grow: Be part of our global company with 20+ brands to grow and develop your skills along multiple career paths.
- Learn: Have access to a wealth of learning resources, including our digital learning portal.
- Belong: Experience an awesome place to work, where we have mutual respect and a great appreciation for a wide range of perspectives and experiences.
- Give Back: Help us continue to make positive changes locally and globally through volunteerism, giving back, and sustainable business practices.
What’s more, you’ll get that pride that comes from empowering makers, doers, protectors, and everyday heroes all over the world. We’re more than the #1 tools company. More than a driving force in outdoor power equipment. More than a global leader in industrial. We’re visionaries and innovators. As successful as we’ve been in the past, we have so much further to go. That’s where you come in. Join us!
This role is not eligible for visa sponsorship (H1B, OPT/CPT, TN etc).
#LI-Hybrid
#-LI-SB1

The Salary range for this position is $95,600.00 - $153,900.00

- This is the lowest to highest annual full-time salary range we would pay for this role at the time of this posting. The salary offered within the range may vary depending on multiple factors including job level, geographic location, job-related knowledge, skills, qualifications, experience and in compliance with local wage requirements. Please note that salary is only one component of total rewards at Stanley Black & Decker.
- The salary range listed in this job posting reflects the range for the primary location specified. The salary range may vary for other locations.
- The successful candidate may be eligible for annual merit increases.
- 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 tool sand other partner programs.
We Don’t Just Build The World, We Build Innovative Technology Too.
Joining the Stanley Black & Decker team means working in an innovative, tech-driven and highly collaborative team environment supported by over 43,500 professionals in 60 countries across the globe. Here, you’ll get the unique chance to impact some of the world’s most iconic brands including STANLEY TOOLS, DEWALT, CRAFTSMAN, MAC TOOLS and Black + Decker. Your ideas and solutions have the potential to reach millions of customers as we work together to write the next chapter in our history. Come build with us and take your career to new heights.
Who We Are
We’re the World’s largest tool company. We’re industry visionaries. We’re solving problems and advancing the manufacturing trade through innovative technology and our Industry 4.0 Initiative. We are committed to ensuring our state-of-the-art “smart factory” products and services provide greater quality to our customers & greater environmental and social value to our planet. We are unique in that we have a rich and storied history dating back to 1843, but that hasn't stopped us from evolving into a vibrant, diverse, global growth company.
What You’ll Also Get
Career Opportunity: Career paths aren’t linear here. Being part of our global company with 60+ brands gives you the chance to grow and develop your skills along multiple career paths.
Benefits & Perks
You’ll get a 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. And, of course, discounts on Stanley Black & Decker tools and products and well as discount programs for many other vendors and partners.
Learning & Development:
Our lifelong learning philosophy means you’ll have 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).
Diverse & Inclusive Culture:
We pride ourselves on being an awesome place to work. We respect and embrace differences because that’s how the best work gets done. You’ll find we like to have fun here, too.
Purpose-Driven Company:
You’ll help us continue to make positive changes in the local communities where we work and live as well as in the broader world through volunteerism, giving back and sustainable business practices.
EEO Statement:
All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran’s status or any other protected characteristic.
If you require reasonable accommodation to complete an application or access our website, please contact us at (860) 827-3923 or at [email protected] . Due to volume, we cannot respond to unrelated inquiries about the status of a completed application or resetting an account password.
Know Your Rights: Workplace discrimination is illegal (eeoc.gov)
This employer participates in the Work Opportunity Tax Credit (WOTC) program. Applicants may be asked to voluntarily provide information to determine eligibility. Any information provided will be kept confidentially other than as required to make the necessary WOTC disclosures and in accordance with applicable laws.
Salary Context
This $95K-$153K range is in the lower quartile for AI/ML Engineer roles in our dataset (median: $178K across 1623 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 9,079 AI roles we're tracking, AI/ML Engineer positions make up 76% of the market. At Stanley Black & Decker, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $211,950 based on 13,048 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $229,300. This role's midpoint ($124K) sits 41% below the category median. Disclosed range: $95K to $153K.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
Stanley Black & Decker AI Hiring
Stanley Black & Decker has 1 open AI role right now. They're hiring across AI/ML Engineer. Based in Charlotte, NC, US. Compensation range: $153K - $153K.
Location Context
Across all AI roles, 6% (531 positions) offer remote work, while 8,478 require on-site attendance. Top AI hiring metros: New York (3,078 roles, $221,000 median); San Francisco (2,646 roles, $261,000 median); Los Angeles (1,486 roles, $210,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (4,384) and senior (3,343) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $256,000 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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