Job Description: The Director, Commercial Performance Insights is a strategic business partner to MasterBrand's Builder and Distributor leadership, responsible for identifying, quantifying, and driving initiatives that improve commercial performance and profitability. This role will leverage data, analytics, and business insights to uncover opportunities across account productivity, pricing effectiveness, customer profitability, sales force performance, incentive compensation, and broader commercial operations.
The Director will develop analytical frameworks, dashboards, and recommendations that enable leadership to make fact-based decisions, optimize investments, and accelerate profitable growth. This individual will work cross-functionally with Sales, Finance, Pricing, Customer Experience, Sales Operations, Field Operations, Continuous Improvement, and Executive Leadership to establish a culture of performance management and continuous improvement.
The Director will advance the organization from descriptive reporting to predictive, prescriptive, and action-oriented analytics; integrate internal and external data; strengthen commercial forecasting and scenario planning; and translate insights into executable actions with measurable financial impact.
Responsibilities- Unlock analytics as a competitive advantage: Develop and lead a comprehensive performance analytics strategy supporting the Builder and Distributor channels.
- Pinpoint improvement opportunities: Identify and recommend actions that will improve revenue growth, expand gross margins, and drive commercial team effectiveness. Evaluate pricing strategies and how those translate to revenue growth and portfolio profitability. Assess sales force productivity at the rep, territory, and account level, and verify the accuracy and effectiveness of compensation and incentive plans.
- Foster communication on business outcomes: Establish KPIs, scorecards, and reporting frameworks that drive accountability and informed decision-making.
- Support channel strategy development: Develop predictive and prescriptive analytics, early-warning indicators, and scenario models that identify market opportunities and emerging risks.
- Contextualize execution and performance: Integrate internal performance data with external market, customer insights, and competitive intelligence to validate decision making and distinguish market-driven results from execution-driven performance.
- Offer relevant insights and recommendations: Translate complex data into actionable business recommendations and executive-level insights. Serve as a trusted advisor to Builder and Distributor leadership teams.
- Strengthen core processes: Support annual planning, forecasting, budgeting, and sensitivity modeling with rigorous analysis. Pressure test assumptions, risks, resource allocation decisions, and alternative business strategies.
- Facilitate business curiosity and creativity: Lead ad hoc analyses and executive requests related to commercial performance. Structure ambiguous business problems, develop hypotheses, and synthesize complex findings.
- Support implementation: Partner with business leaders to convert insights into action plans, establish initiative owners and milestones, track execution, and validate realized financial and operational benefits.
- Innovate the foundation: Build and manage advanced reporting, dashboards, and performance monitoring tools.
- Foster sustainability: Partner with IT, Finance, and Sales Operations to improve data quality, accessibility, and governance. Establish and govern standard KPI definitions, business rules, reporting hierarchies, data lineage, and trusted sources of truth across Builder and Distributor performance reporting.
- Evolve our approach: Drive adoption of self-service analytics and data-driven decision-making throughout the organization. Embed analytics into account reviews, forecasting, pricing decisions, sales coaching, strategic planning, and recurring business-performance routines through structured change management and capability building.
- Develop a team: Lead, develop, and mentor analytics team members as the function grows. Build a high-performing analytics capability through organizational design, talent development, performance management, capability planning, and succession development.
- Harness new technology: Evaluate and responsibly deploy emerging analytics, automation, machine-learning, and generative-AI capabilities that improve decision quality, speed, and scalability.
Qualifications- Bachelor's degree in business, Finance, Economics, Engineering, Analytics, or related field.
- 10+ years of progressive experience in commercial analytics, sales operations, finance, business intelligence, or related disciplines, including experience leading teams and enterprise-level, cross-functional initiatives from problem definition through implementation and benefit realization.
- Demonstrated experience analyzing complex business problems using advanced analytical methods, including experience with large datasets and statistical analysis, forecasting, predictive modeling, and optimization. Can connect operational actions to business outcomes.
- Expertise in Power BI, Tableau, SQL, Excel, or similar analytics platforms. Experience working with CRM, ERP, cloud data platforms, data warehouses, and commercial planning systems, with working knowledge of data architecture, dimensional modeling, master data, and data quality.
- Proven ability to communicate complex findings to executive leadership. Demonstrated ability to simplify ambiguity, challenge assumptions constructively, and influence decisions without direct authority.
- Customer-back mindset and a strong desire to help the team grow sales.
- Willingness to use MasterBrand Business System tools as a foundational approach to complex problem solving.
Preferred- Experience supporting Builder, Distributor, Manufacturing, Building Products, or B2B sales organizations.
- Knowledge of pricing analytics, customer segmentation, and profitability modeling.
- Experience with CRM and sales performance platforms such as Salesforce.
- Familiarity with machine learning, optimization, or AI-enabled analytics.
- Experience integrating external market, economic, housing, channel, and competitive data into commercial performance analysis.
