Director Commercial Analytics

Job Title

Position Overview

The Director Commercial Analytics is responsible for leading and advancing Shaw Commercials analytics strategy capabilities and team to support business performance commercial growth and data-driven decision-making across the Commercial Analytics function has evolved into a critical business capability supporting Commercial leadership Sales Pricing Forecasting Finance Market Insights CRM and strategic planning. This role builds upon that strong foundation by expanding the organizations ability to translate data analytics forecasting inputs advanced analytical capabilities and emerging technologies into measurable business outcomes. This is ahybrid role requiring a minimum of 3 days a week in office.

The Director serves as a strategic partner to business leadership helping connect insights across commercial performance forecasting customer analytics pricing market intelligence productivity and growth initiatives. Working closely with Strategy & Insights leadership Enterprise IT and cross-functional business teams the role ensures Commercial continues to maximize the value of its investments in analytics data platforms business intelligence and advanced analytics capabilities. Success in this role is measured through the organizations ability to leverage data analytics forecasting and decision support to improve business performance productivity planning growth and leadership decision-making.

Responsibilities:

Commercial Analytics Strategy and Business Partnership

• Lead the Commercial Analytics vision strategy and multi-year roadmap in alignment with Commercial and Strategy & Insights priorities.

• Translate business priorities into a balanced portfolio of analytics capabilities data products forecasting tools dashboards performance insights and advanced analytical initiatives.

• Serve as a strategic advisor to Commercial leadership by connecting analytics insights and decision support to measurable business outcomes.

• Identify opportunities to expand the use of analytics in commercial planning performance management opportunity identification resource allocation and business execution.

• Ensure analytics investments support improvements in commercial growth sales productivity customer engagement margin performance forecasting accuracy and overall business effectiveness.

Performance Forecasting and Decision Support

• Partner with Commercial leadership IBP Demand Planning Finance Pricing Market Insights CRM Enterprise IT and Strategy & Insights to strengthen the organizations use of analytics in business planning and performance management.

• Lead the development of performance frameworks leading indicators scenario modeling business performance analysis and forward-looking insights that support proactive decision-making.

• Integrate commercial performance pipeline activity customer trends product performance pricing insights market signals and forecasting inputs into meaningful business recommendations.

• Help business leaders understand performance drivers risks opportunities and tradeoffs through clear actionable analytics and insights.

Advanced Analytics AI and Analytics Ecosystem Leadership

• Lead Commercials advanced analytics and innovation roadmap including opportunities for predictive analytics AI-enabled insights automation data science and advanced modeling.

• Prioritize and scale high-value analytics capabilities that improve decision quality productivity customer understanding forecasting visibility and market opportunity analysis.

• Provide strategic leadership for Commercials analytics ecosystem including Databricks Power BI Tableau semantic models curated datasets data products and related reporting and analytical solutions.

• Partner with Enterprise IT and enterprise data teams to ensure alignment with architecture governance security data quality modernization scalability and adoption priorities.

• Ensure data assets reporting solutions analytical models and insights remain reliable accessible explainable business relevant and tied to measurable value.

Organizational Leadership Talent Development and Executive Influence

• Lead and develop a high-performing analytics organization across business intelligence analytics engineering data engineering and data science capabilities.

• Build a culture grounded in business partnership accountability innovation continuous learning technical excellence and measurable impact.

• Provide coaching mentoring performance management succession planning cross-training and professional development for analytics team members.

• Establish clear priorities operating rhythms and stakeholder engagement practices aligned to business objectives.

• Build strong relationships across Commercial leadership and key cross-functional partners translating complex analytical and technical concepts into clear business language.

• Lead executive presentations strategic reviews planning discussions and business performance conversations that promote confidence adoption and effective use of analytics across the Commercial organization.

Requirements:

• Bachelors degree in Analytics Statistics Data Science Computer Science Engineering Business Finance Economics Marketing Information Systems or a related field.

• 10 years of progressive experience in analytics business intelligence commercial analytics data strategy analytics engineering data science or related disciplines.

• Demonstrated experience leading analytics teams and developing technical talent.

• Strong commercial acumen with the ability to understand sales pricing customer product forecasting operational and financial performance drivers.

• Experience influencing senior leadership through data insights and business recommendations.

• Experience leading analytics initiatives from strategy and roadmap development through adoption and business value realization.

• Strong knowledge of modern analytics platforms and tools including SQL Power BI Tableau Databricks and cloud-based analytics environments.

• Ability to connect analytical capabilities to measurable business outcomes.

• Ability to come onsite minimum 3 days a week.

Preferred skills and experience:

• MBA or Masters degree in Business Analytics Data Science Statistics Computer Science Finance Economics or a related field.

• Experience supporting Commercial Sales Marketing Pricing Revenue Management Forecasting Demand Planning or Business Strategy functions.

• Experience with Databricks data engineering modern data architecture and analytics operating models.

• Experience with predictive analytics forecasting customer segmentation opportunity modeling AI-enabled analytics or data science applications.

• Experience in manufacturing building products flooring distribution or other complex B2B commercial environments.

Competencies:

• Deliver Compelling Communication

• Demonstrate Strategic Influence

• Drive Results

• Coach and Develop Others

• Demonstrate Inclusive Leadership

Shaw benefits include:

• Medical dental and vision insurance

• Life insurance and disability coverage

• Tuition reimbursement

• Employeeassistanceprogram

• Health savings account

• Paid Time Off

• Parental Leave

• 401K and Retirement Plans

• Product discounts for employees

• Adoptionassistance

• Shaw Family Health Center (Dalton GA and Cartersville GA locations)

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