SR DIRECTOR, DECISION SCIENCE & BUSINESS INTELLIGENCE

Dollar General • Goodlettsville, TN

5d

About The Position

This role leads analytics and AI strategy for Retail Media (DGMN), enterprise marketing, and personalization. It involves partnering with IT, data engineering, and product teams to build and scale AI-driven decisioning capabilities across marketing, merchandising, and digital products. The position also focuses on developing business solutions that automate workflows and embed data-driven decisioning into enterprise systems and business processes. Additionally, it assists in developing and scaling analytics capabilities for digital products to enable performance measurement and customer journey optimization, applies advanced analytics to merchandising decisions, and leads, coaches, and develops teams while building organizational capabilities in advanced analytics and product-centric decision-making. The role emphasizes translating data into actionable insights and embedding decision frameworks into tools, systems, and workflows for faster, more automated, data-driven decision-making.

Requirements

• Deep expertise in marketing, retail media, digital products, and customer analytics, including experimentation, measurement, personalization, and segmentation strategies.
• Strong understanding of AI, machine learning, and advanced analytics techniques, with the ability to translate business problems into scalable AI-driven solutions.
• Proven ability to partner with IT, data engineering, and product teams to align business priorities with data, technology, and platform capabilities.
• Experience building and scaling data products, decision systems, and business solutions, including automation and integration into business workflows.
• Strong strategic thinking with the ability to connect analytics and AI initiatives to business outcomes across marketing, merchandising, and digital functions.
• Excellent communication and influence skills, with the ability to translate complex ideas into clear, actionable insights and drive executive alignment.
• Demonstrated leadership in building and developing high-performing teams across analytics and data science.
• Bachelor's degree in business, analytics, economics, statistics, computer science, engineering, or a related field required.
• 10+ years of progressive experience in analytics, data science, digital product analytics, or related fields, with significant experience in retail, ecommerce, or consumer-focused environments.
• Proven track record of leading enterprise analytics across multiple business functions, including marketing, merchandising, retail media, or digital products.
• Experience driving data transformation, including partnering with IT and data engineering teams to influence data architecture, platforms, and scaling of solutions.
• Demonstrated experience delivering business impact through advanced analytics, experimentation, personalization, and AI-driven decision-making.
• Experience leading large teams and complex, cross-functional initiatives in fast-paced, matrixed organizations.

Nice To Haves

• Master's degree preferred

Responsibilities

• Lead analytics and AI strategy for Retail Media (DGMN), enterprise marketing, and personalization, including campaign optimization, segmentation, targeting, attribution, and experimentation frameworks.
• Partner with IT, data engineering, and product teams to build and scale AI-driven decisioning capabilities across marketing, merchandising, and digital products.
• Lead the development of business solutions that automate workflows and embed data-driven decisioning into enterprise systems and business processes.
• Assists in developing and scaling analytics capabilities for digital products, including website, mobile app, and customer experience features (e.g., site search, navigation, recommendations), enabling performance measurement and customer journey optimization.
• Apply advanced analytics to merchandising decisions, including assortment insights, promotional effectiveness, and customer-product analytics to improve sales and margin outcomes.
• Lead, coach, and develop directors, analysts, and data scientists while building organizational capabilities in advanced analytics, and product-centric decision-making.
• Translate data into actionable insights and embed decision frameworks into tools, systems, and workflows to enable faster, more automated, data-driven decision-making.

What This Job Offers

• Job Type: Full-time
• Career Level: Director