Director, AI Adoption and Value Realization

The Director, AI Adoption and Value Realization is responsible for ensuring Sherwin-Williams' enterprise AI investments translate into measurable business outcomes, sustained adoption, and changed ways of working across the organization. This leader owns the adoption strategy, measurement framework, value realization discipline, executive reporting, and change activation model for AI initiatives, while supporting the AI CoE with portfolio execution, strategy analysis, and project management discipline as needed. This role partners closely with: The SVP, Global AI Transformation to support executive reporting, Board-ready progress updates, and enterprise transformation priorities The AI Center of Excellence, VP to operationalize adoption, measurement, and value realization priorities across the enterprise The Senior Director, AI Technology and Microsoft platform owners to connect platform telemetry, usage data, and technical delivery progress to business adoption and value outcomes Business leaders, HR, Finance, Communications, Risk, Legal, Cyber, and ETG to drive role-based adoption, AI literacy, responsible use, and measurable business impact 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 employees will report into our Cleveland, Ohio Global HQ. AI Adoption Strategy & Change Activation * Develop and lead the enterprise AI adoption strategy across functions, personas, geographies, and priority workflows. * Translate AI strategy into practical adoption plans that help employees embed AI into day-to-day work, not simply access tools or complete training. * Design and execute change enablement plans for priority AI use cases, including stakeholder mapping, communications, readiness activities, coaching, reinforcement, and adoption interventions. * Build and activate a network of AI champions, business translators, and communities of practice across functions to scale adoption locally. * Partner with HR/Learning, Communications, and business leaders to drive role-based AI literacy, executive enablement, and workforce readiness. AI Measurement Framework & Executive Reporting * Own the enterprise AI measurement framework across adoption, engagement, proficiency, workflow integration, value realization, ROI, risk, and capability maturity. * Partner with Microsoft platform owners, ETG, Finance, HR, and business teams to define recurring AI dashboards and executive scorecards. * Establish standard reporting routines and metrics definitions for Microsoft Copilot, Co-Work, Copilot Studio, agent activity, token consumption, and other enterprise AI platforms as appropriate. * Prepare recurring leadership updates that clearly communicate adoption progress, business outcomes, risks, barriers, and recommended actions. * Move measurement beyond activity metrics by incorporating behavior change, workflow adoption, proficiency, satisfaction, and business impact indicators. Value Realization & ROI Discipline * Establish consistent value realization practices for AI initiatives, including value hypotheses, business baselines, KPI trees, benefits owners, measurement methods, and scale/fail criteria. * Partner with Finance and business leaders to quantify expected and realized value from AI use cases, including revenue growth, productivity, cost reduction, cycle time, quality, customer experience, and risk reduction where applicable. * Track performan