Franchise World Headquarters, LLC
Vice President, Data Science
Franchise World Headquarters, LLC, Shelton, Connecticut, us, 06484
Overview
We are Subway Headquarters! A dedicated team of professionals supporting thousands of franchisees around the globe.
Position Title - Vice President - Data Science
Region : Miami, FL or Shelton, CT USA
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
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.
Developing and implementing 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 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. 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 road map 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.
The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V
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Position Title - Vice President - Data Science
Region : Miami, FL or Shelton, CT USA
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
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.
Developing and implementing 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 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. 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 road map 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.
The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V
#J-18808-Ljbffr