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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Director, Data Science & Personalization - **Company:** Sprouts Farmers Market - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Data Analysis, Cloud Engineering, Information Engineering, IT Management, Machine Learning, Recommender Systems, Alwayson, Information Technology, Data Analytics - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pecf1aqw13 ## About the Role * 12+ years of experience in data science, analytics, or related quantitative disciplines. * 7+ years of experience leading and developing leaders and managers. * Proven success deploying machine learning and advanced analytics solutions at scale. * Strong background in statistics, experimentation, predictive modeling, and applied analytics. * Demonstrated ability to influence executive stakeholders and drive enterprise-level change. * Exceptional communication and leadership skills., * Experience in retail, grocery, eCommerce, or consumer-focused industries. * Deep experience with personalization, recommendation systems, or decisioning platforms. * Familiarity with modern cloud-based data and machine learning ecosystems. * Advanced degree in Data Science, Computer Science, Statistics, or a related field. ## Description The Senior Director, Data Science & Personalization provides leadership for Sprouts' data science, machine learning, insights, and personalization capabilities. This role sets the vision and strategy for how advanced analytics and data-driven decisioning power personalized customer experiences and business growth across the organization. This leader is accountable for driving measurable business outcomes and ensuring Sprouts continues to build a durable competitive advantage through data., * Refine and own the enterprise data science and personalization vision, strategy, and roadmap in partnership with VP and Chief Customer Officer. * Identify and prioritize the highest-value opportunities to apply machine learning, predictive analytics, and experimentation to drive customer engagement and revenue growth. * Balance near-term business impact with long-term capability building and scalability. * Serve as a senior thought leader on how data science can accelerate customer and enterprise value. Lead Advanced Analytics & Machine Learning at Scale * Provide oversight and direction on machine learning models and analytical solutions development. * Ensure models and solutions are robust, measurable, and continuously improved. * Partner with IT leadership and Data Engineering to ensure scalable architecture, tools, and platforms support advanced analytics and personalization efforts. Own Test-and-Learn & Decisioning Capabilities (Pod-Based Model) * Guide the organization's agile pod model for testing personalization ideas. * Ensure fast, rigorous tests tied to clear business outcomes and rooted in customer insights and analytics. * Leverage standardized and automated measurement to identify winning tests with stats sig confidence. * Govern experiment flow so learnings become always-on capabilities. Build, Lead & Develop Leaders * Lead and develop Data Science, Analytics and Insights teams. * Establish clear expectations for leadership effectiveness, technical excellence, and business impact. * Build succession plans and a strong talent pipeline to support current and future growth. * Foster a culture of accountability, curiosity, and continuous improvement. Influence & Partner Across the organization * Act as a senior strategic partner to leaders across the organization. * Translate complex analytical concepts into clear, compelling business narratives. * Ensure tight alignment within group between Data Science, Analytics and, Insights, as well as collaboration with marketing, merchandising, Finance and IT. Governance, Standards & Responsible Data Use * Establish organizational standards for model governance, documentation, monitoring, and ethical data usage. * Ensure data science efforts comply with privacy, security, and regulatory requirements. * Oversee vendor relationships and selectively engage partners where acceleration is needed., The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties, responsibilities, and requirements. Sprouts' management reserves the right to amend and change duties, responsibilities, and requirements to meet business and organizational needs as necessary. Sprouts will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance in Hiring Ordinance. California Residents: We collect information in accordance with California law, please see here for more information. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Your Manager Doesn’t Come with a User Manual (But You Can Totally Write One)](https://www.wearedevelopers.com/videos/1495-your-manager-doesn-t-come-with-a-user-manual-but-you-can-totally-write-one) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Engineering/Manager Pendulum: Generating compound interest on your career](https://www.wearedevelopers.com/videos/100348-engineering-manager-pendulum-generating-compound-interest-on-your-career) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Jobs in Tech: The State of the European Market](https://www.wearedevelopers.com/magazine/575-jobs-in-tech-the-state-of-the-european-market)