AI Digital Product Manager

The Sherwin-Williams Company; Cleveland (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

The Sherwin-Williams Company is seeking an AI Digital Manager to define and own the AI digital product strategy across web and mobile platforms, partnering with data science, engineering, and UX teams to deliver measurable customer value.

You will lead discovery, prototyping, and end-to-end lifecycle management from concept to launch, aligning with senior stakeholders and driving ROI for multiple brands.

Qualifications

• Bachelor's degree with the required work experience or equivalent.
• 7–10 years of digital product management experience.
• Experience leading cross-functional teams including UX/design, engineering, and data science.
• Understanding of AI and ML concepts and how to apply them in product decisions.
• Strong communication and presentation skills with executive stakeholders.

Responsibilities

• Define and own the AI digital product strategy and roadmap.
• Lead discovery, POC, and prototype initiatives for AI features across web and mobile.
• Collaborate with UX, engineering, and data science to translate requirements into backlogs.
• Drive end-to-end product releases and go-to-market plans with cross-functional teams.
• Develop business cases and ROI analyses to support funding decisions.
• Track KPIs and drive continuous improvement of digital products.

Skills

Digital product management

AI/ML products

Cross-functional leadership

Strategic roadmapping

Stakeholder communication

Education

Bachelor's degree in business/CS/IT

MBA or advanced degree

Job description

As an AI Digital Manager at Sherwin-Williams, you will lead the strategy, development, launch, and ongoing improvement of AI-powered digital products that help customers shop and connect with our brands. Working within our Digital Products & Experience Design organization, you will identify high-value customer needs and partner with cross-functional teams to turn ideas into practical, scalable solutions.

You will own the digital AI product roadmap and lead discovery, proofs of concept, and prototypes for web and mobile experiences across multiple brands. You will partner closely with data science, engineering, and UX teams to create intuitive AI-powered experiences that improve customer satisfaction and support retail growth.

You will work across our consumer website, mobile applications, and B2B digital platforms - applying AI thoughtfully and only where it delivers measurable value.
From concept through launch and ongoing improvement, you will align stakeholders, guide digital product decisions, and measure results to deliver business value. You will also conduct competitive and comparative audits, and develop business cases to support the stage gate funding process that governs digital product investment at Sherwin-Williams.

Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company's staff, employees, and business relationships.

Position is not remote/hybrid and will work fulltime in-office at Sherwin-Williams Headquarters, Cleveland, OH.

1. Strategy & Vision

Define and own the AI digital product strategy and roadmap, identifying high-value use cases where AI and machine learning provide a competitive advantage and deliver a customer-first, human-centered experience.

• Develop and maintain a multi-horizon digital product roadmap that balances near-term wins with long-term AI digital product vision.
• Conduct competitive and comparative audits to benchmark market leaders, identify innovation opportunities, and inform strategic direction.
• Build and present business cases - including opportunity sizing, ROI analysis, and investment rationale - to support the stage gate funding and approval process.
• Champion human-centered design thinking as the foundation of all AI digital product strategy, ensuring solutions address genuine customer needs.
• Serve as the strategic voice of digital product to senior business stakeholders and executive leadership.

2. Digital Product Lifecycle Management

Oversee the entire digital product lifecycle from ideation, market research, and concept validation through launch, optimization, and, where applicable, sunset - applying agile and operational excellence throughout.

• Lead discovery, proof of concept (POC), and prototype initiatives for new AI-powered features across web and mobile experiences for multiple brands.
• Define clear digital product requirements, user stories, and acceptance criteria in collaboration with UX, engineering, and data science teams.
• Partner with Digital product owners to ensure strategic digital product definitions are translated into well-groomed, actionable backlogs and delivered effectively by agile development teams.
• Facilitate design sprints and rapid prototyping to validate hypotheses and reduce risk before full-scale investment.
• Manage digital product releases end-to-end, coordinating across technology, marketing, and business teams to ensure successful go-to-market execution.

3. Data-Driven Decision Making

Establish KPIs to measure digital product success, track performance, and make evidence-based decisions that improve user experience and ROI - overseeing data acquisition, quality, and integrity as the foundation for AI model performance.

• Define success metrics and measurement frameworks for each digital product initiative, ensuring both business and experience outcomes are tracked.
• Collaborate with data scientists and analytics teams to leverage behavioral data, digital product analytics, and AI model outputs to drive continuous improvement.
• Oversee data acquisition, quality, and labeling requirements to ensure AI models are trained on reliable, representative data.
• Partner with analytics platforms and BI teams to build dashboards and reporting that surface actionable insights to stakeholders.
• Use data to prioritize features and investments based on customer needs, business goals, and technical feasibility.

4. Stakeholder & Vendor Management

Build strong relationships across departments and manage external partners to ensure alignment with organizational goals and delivery of best-in-class digital experiences.

• Serve as the primary point of alignment between business stakeholders, UX/design, data science, and technology teams for AI digital product initiatives.
• Prepare and deliver compelling presentations and recommendations to senior and executive-level stakeholders to drive buy-in and digital product funding decisions.
• Manage relationships with external vendors, agency partners, and technology providers to accelerate delivery and ensure quality.
• Communicate digital product status, risks, and decisions clearly and proactively across all levels of the organization.
• Facilitate cross-functional workshops, sprint reviews, and roadmap planning sessions to maintain alignment and momentum.

5. Model Management

Collaborate with data scientists and ML engineers to define requirements for AI and machine learning models, select appropriate approaches, and monitor model performance over time.

• Partner with data science teams to translate customer and business needs into AI model requirements and success criteria.
• Evaluate AI/ML approaches and tools - including generative AI - and make informed build vs. buy vs. partner recommendations.
• Establish model governance and monitoring processes to ensure AI outputs remain accurate, fair, and aligned with brand standards.
• Identify opportunities to apply AI appropriately across digital touchpoints - applying technology only where it improves the customer experience in meaningful, measurable ways.
• Stay current on AI/ML advancements, tools, and industry applications relevant to retail, e-commerce, and customer experience.

6. Success Metrics

Track "dual metrics" - traditional digital product KPIs alongside model-specific metrics - to comprehensively measure digital product health, customer impact, and AI system performance.

• Define and track traditional digital product KPIs such as engagement, conversion, retention, customer satisfaction (CSAT/NPS), and revenue impact.
• Establish AI-specific performance metrics including model accuracy, precision, recall, latency, and bias indicators, in partnership with data science teams.
• Build reporting cadences and executive dashboards that communicate both business results and AI model health to diverse stakeholders.
• Conduct ongoing post-launch reviews and retrospectives to capture learnings and feed continuous improvement cycles.
• Ensure all digital product improvements are grounded in measurable outcomes tied to business and customer value.

Minimum Requirements

• Bachelor's degree in business, Marketing, Computer Science, Information Technology, or a related field, or equivalent experience. Candidate must have five years of work experience for every one year of college education required.
• 7-10 years of experience in digital digital product management, with demonstrated success defining and launching digital products or features - ideally including AI or data-driven products.
• Proven ability to develop digital product strategy, conduct competitive analysis, write business cases, and navigate a stage gate or similar funding and approval process.
• Experience leading cross-functional teams including UX/design, engineering, and data science to deliver digital products from concept through launch.
• Understanding of AI and machine learning concepts sufficient to evaluate use cases, collaborate effectively with data scientists, and make informed digital product decisions.
• Strong ability to prioritize based on customer needs, business goals, and technical feasibility across a complex digital product portfolio.
• Exceptional communication and presentation skills, with demonstrated ability to align and influence executive-level stakeholders.

Preferred Qualifications

• MBA or advanced degree with a focus on digital strategy, technology, product management, or data science.
• Experience with AI-powered digital product features such as recommendation engines, personalization, search, computer vision, or conversational AI/chatbots.
• Experience working across both B2C and B2B digital products in retail, e-commerce, or home improvement industries.
• Familiarity with agile/scrum delivery methodologies and experience partnering with Digital product owners and delivery teams.
• Experience with digital product discovery frameworks, design thinking, and rapid prototyping or POC