Position Title - Vice President - Data Science Region: Miami, FL or Shelton, CT USA Ready for a fresh, new career? Look no further because one of the world's most iconic brands can help you get there. **Why Join Us?** At Subway, "better" is baked into our DNA. We are a brand that believes in continued improvement in our lives, our businesses, and our planet. From the handshake that started our very first sandwich shop to earning our position as one of the world's leading restaurant brands, we've always embraced change and the path ahead. And today, we're making better living way easier. Our purpose is more than the food we serve in our restaurants. It's centered on fueling healthy businesses and healthier lives. It is one of the most exciting times to join the Subway team and contribute to our transformational journey. **About the Role:** Subway is scaling its Data Science organization in North America to drive transformative growth, customer-centric innovation, and operational excellence. The Vice President of Data Science will lead the strategic development and execution of advanced analytics initiatives, oversee a high-performing team of data scientists, and collaborate with cross-functional leaders to embed data-driven decision-making throughout the business. This role demands a visionary leader with deep technical expertise, strong restaurant experience, business acumen, and a proven track record of delivering enterprise-level data science solutions. The individual will shape the roadmap for AI/ML adoption, champion analytics maturity, and ensure alignment with Subway's strategic priorities. Types of analyses will include Guest Analytics, Predictive Customer Lifetime Value, Pricing and Promotional Modeling, Traffic and Business Driving Prediction, and Sales Forecasting. **Responsibilities include but are not limited to:** - Define and lead the enterprise data science strategy, aligning with business goals across Marketing, Pricing, Operations, Supply Chain, and Technology. Focus on business performance, competitive landscape, and financial impact. - Develop and implement measurement solutions and predictive analytics across CRM and loyalty channels to increase customer retention and LTV. - Build and scale pricing and promotional measurement solutions, including but not limited to price elasticity modeling, promo lift analysis, and scenario planning to help improve franchisee profitability and foresight to traffic and sales impacts. - Evolve customer segmentation models, including clustering analysis to identify key cohorts and audience behaviors. In addition, layer in Customer LTV models to grow personalization and customer retention efforts. - Structure propensity modeling across key customer cohorts to enable omni-channel personalization contact strategy and enhance customer engagement and growth through MarTech and digital campaigns. - Build, mentor, and manage a team of data scientists and analysts, fostering a culture of innovation, collaboration, and continuous learning. - Oversee the development and deployment of scalable analytics products, ensuring technical excellence and business relevance. - Partner with executive leadership to identify high-impact opportunities for advanced analytics and AI/ML applications. - Drive thought leadership in the QSR industry by applying cutting-edge techniques in predictive modeling, personalization, optimization, and experimentation. - Ensure robust data governance, model lifecycle management, and ethical AI practices. - Communicate insights and strategic recommendations to senior stakeholders, influencing key decisions with data-driven narratives. - Stay ahead of emerging technologies and trends, evaluating their potential impact on Subway's business. Establish Data Science long-term roadmap inclusive of ownership and people leadership. **Initial Focus Areas** - Enterprise sales forecasting and performance decomposition - Price and promotional elasticity modeling - Coupon/FSI/discount lift analysis - Store segmentation and predictive modeling - Personalization and offer optimization - AI-driven customer journey analytics - Strategic experimentation and testing incrementality - Forecasting traffic drivers and sales trends **Required Skills & Experience** - Master's or PhD in Data Science, Computer Science, Applied Mathematics, or related field - 15+ years of experience in data science, with at least 3 years in a leadership role managing teams and strategic initiatives - Proven success in deploying production-level models and analytics platforms at scale - Expertise in AWS, Google Cloud, Python, SQL, Spark, and cloud platforms - Strong background in statistical modeling, machine learning, and experimental design - Strong understanding of QSR applications: price elasticities, promotional lifts, offer targeting, loyalty, site selection. - Experience in QSR, retail, or consumer-facing industries preferred - Exceptional communication and stakeholder management skills - Familiarity with tools like GitHub, SageMaker, and DevOps practices - Strategic mindset with the ability to translate analytics into business impact **Scope & Impact** - Geographic Scope: NA with a focus on US - Direct Reports: 4-5 - Indirect Reports: Varies by project - Budget Responsibility: Significant influence over analytics investments and vendor partnerships - $2-3MM - Travel Requirements: Up to 20% **What do we Offer?** - Insurance Plans (Medical/Life) - Pension/401K/RSP (country specific) - Competitive Bonus - Mobility Allowance - Tuition Reimbursement - Company Holidays - Volunteering time - And Many More.. Actual pay is determined based on a number of job-related factors including skills, education, training, credentials, qualifications, scope and complexity of role responsibilities, geographic location, performance, and working conditions.