Description
Company Overview:
Responsible for leading the strategy, execution, and transformation of decision science and AI-driven capabilities across Dollar General's Retail Media (DGMN), marketing, merchandising, personalization, and digital product ecosystems. This role moves seamlessly between strategic leadership and hands-on analytical execution, including research, hypothesis development, and rapid prototyping—while developing business solutions to accelerate learning and improve decision quality, with a focus on scaling decisioning and automation across enterprise workflows. The Senior Director partners closely with business and IT leaders to align data capabilities with enterprise priorities, building scalable systems that enhance customer engagement, merchandising effectiveness, and digital product performance.
Job Details:Duties & 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
Qualifications:
Knowledge, Skills and Abilities:
- 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; Master's degree preferred
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
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