Manager- Predictive Planning and Insights

Sherwin-Williams•Cleveland, OH

About The Position

The Manager of Predictive Planning & Insights (PPI) leads a team responsible for developing revenue forecasts, commercial insights, predictive analytics, and decision-support tools that drive profitable growth across Sherwin-Williams' Industrial Businesses (Performance Coatings Group). This role partners closely with Financial Planning & Analysis (FP&A), Commercial Leadership, Sales, Pricing, Marketing, and Enterprise Finance to identify key revenue drivers, improve forecast accuracy, and provide actionable business insights. The position combines advanced analytics, financial planning, and external market intelligence to support strategic decision-making and enhance the organization's ability to anticipate market trends, customer demand, and revenue opportunities. Working closely with the Director of Predictive Planning & Insights and the FP&A Center of Excellence (COE), this role leads the development and adoption of predictive forecasting methodologies, machine learning-driven business insights, and enterprise analytical capabilities while driving a culture of continuous improvement and data-driven decision making.

Requirements

Bachelor’s degree in business, Finance, Mathematics, Data Science or related field, or equivalent work experience
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, Executive communication

Nice To Haves

Advanced degrees or certifications (MBA, 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 supporting the Industrial Business.
Partner with Business Unit Finance, Commercial Finance, Sales, and Pricing teams to understand revenue drivers and market dynamics.
Develop forecasting methodologies that incorporate 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 impacting revenue performance.
Deliver actionable insights regarding revenue growth opportunities, emerging market trends, and business risks.
Develop executive-level presentations and business recommendations supported by quantitative analysis.
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 innovative forecasting technologies, AI applications, and advanced analytics solutions.
Drive automation and integration of predictive forecasting processes.
Advance capabilities related to: Machine learning forecasting, External signal integration, Scenario planning, Driver-based forecasting, Sensitivity modeling, 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 that improve planning effectiveness and efficiency.
Partner with business teams to identify analytical opportunities and define business requirements.
Lead design, testing, and deployment of reporting, dashboarding, and forecasting solutions.
Develop executive dashboards that provide visibility into critical revenue and performance metrics.
Leverage Power BI, Tableau, Dataiku, Databricks, and related technologies to improve business decision support.
Lead and develop a high-performing team of Predictive Planning & Insights analysts.
Provide coaching, mentorship, and professional development opportunities.
Build organizational awareness and adoption of predictive planning capabilities.
Support enterprise change management efforts related to forecasting modernization and business analytics transformation.
Foster strong cross-functional partnerships across Finance, Commercial, Operations, and Data Science teams.