Manager- Predictive Planning and Insights

Sherwin-Williams•Cleveland, OH
•$108,531 - $140,086

About The Position

The Manager of Predictive Planning & Insights leads a team responsible for developing revenue forecasts, commercial insights, predictive analytics, and decision-support tools to drive profitable growth across Sherwin-Williams' Industrial Businesses within the Performance Coatings Group. The role partners with FP&A, commercial leadership, sales, pricing, marketing, and enterprise finance to identify revenue drivers, improve forecast accuracy, and provide actionable insights. It combines advanced analytics, financial planning, and external market intelligence to support strategic decisions and anticipate market trends, customer demand, and revenue opportunities. Working closely with the Director of Predictive Planning & Insights and the FP&A Center of Excellence, this role leads the development and adoption of predictive forecasting methodologies, machine-learning-driven business insights, and enterprise analytical capabilities. It also promotes continuous improvement and data-driven decision-making.

Requirements

  • Bachelor’s degree in business, Finance, Mathematics, Data Science, or a related field, or equivalent work experience.
  • At least 5 years of experience in FP&A, Commercial Finance, Revenue Analytics, Business Intelligence, Predictive Analytics, Strategic Planning, or related functions.
  • Experience building and maintaining forecasting or predictive analytics solutions.
  • Experience supporting revenue-focused businesses and commercial decision-making.
  • Advanced experience with Power BI, Tableau, SQL, Dataiku, Databricks, advanced Excel modeling, forecasting, and statistical analysis.
  • Demonstrated expertise in predictive forecasting, revenue analytics, data storytelling, business partnership, process improvement, team leadership, and executive communication.

Nice To Haves

  • Advanced degree or certification, such as an MBA or an MS/PhD in technology, mathematics, data science, or economics.
  • Experience applying AI or machine learning to business forecasting.
  • Experience integrating external economic and market indicators into planning processes.
  • Experience supporting industrial manufacturing, coatings, or building products businesses.

Responsibilities

  • Lead development of revenue forecasts and predictive models for the Industrial Business.
  • Partner with Business Unit Finance, Commercial Finance, Sales, and Pricing teams to understand revenue drivers and market dynamics.
  • Develop forecasting methodologies incorporating internal operational metrics and external economic indicators.
  • Monitor forecast performance and continuously improve model accuracy and predictive capabilities.
  • Evaluate volume, price, mix, customer, channel, and market trends affecting revenue performance.
  • Deliver actionable insights about revenue growth opportunities, emerging market trends, and business risks.
  • Develop executive-level presentations and quantitative business recommendations.
  • Translate complex analytical findings into concise, actionable business narratives.
  • Identify leading indicators that improve visibility into future revenue performance.
  • Collaborate with FP&A COE leadership to establish a long-term roadmap for predictive planning and insights.
  • Explore forecasting technologies, AI applications, and advanced analytics solutions.
  • Drive automation and integration of predictive forecasting processes.
  • Advance machine learning forecasting, external signal integration, scenario planning, driver-based forecasting, sensitivity modeling, and revenue and profitability optimization.
  • Promote adoption of predictive analytics throughout the organization.
  • Establish and maintain standardized forecasting methodologies and governance processes.
  • Enhance forecast transparency, consistency, and accountability across supported businesses.
  • Lead continuous improvement initiatives to improve planning effectiveness and efficiency.
  • Partner with business teams to identify analytical opportunities and define business requirements.
  • Lead the design, testing, and deployment of reporting, dashboarding, and forecasting solutions.
  • Develop executive dashboards that provide visibility into critical revenue and performance metrics.
  • Use Power BI, Tableau, Dataiku, Databricks, and related technologies to improve business decision support.
  • Lead, coach, mentor, and support the professional development of a high-performing team of Predictive Planning & Insights analysts.
  • Build organizational awareness and adoption of predictive planning capabilities.
  • Support enterprise change management efforts related to forecasting modernization and business analytics transformation.
  • Foster cross-functional partnerships across Finance, Commercial, Operations, and Data Science teams.

Benefits

  • A range of benefits designed to support health and well-being, including health care and retirement offerings.
  • Flexibility to support employee health and well-being.
  • Opportunities to learn, develop new skills, and grow professionally.
  • An inclusive team and commitment to employee and broader communities.
  • Benefits information is available through the company's candidate benefits resource; eligibility may vary.
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