This leader will sit within the GBSG Data Science & Analytics organization, partnering closely with the Payments cross-functional leadership team within Company’s Services organization to drive impact across Product, Marketing, Engineering, and Operations

• The Group Manager, Data Science will lead a team of senior data scientists and people managers to define the strategy, vision, and roadmap for Payments data science
• This leader will champion the use of AI and advanced analytics to identify growth opportunities, optimize risk and revenue, and enhance customer trust — all while fostering a high-performance, customer-obsessed culture
• Lead and scale a high-performing team of data scientists, analysts, and data science managers to deliver end-to-end insights and modeling solutions that accelerate Workforce & Bill Pay growth, efficiency, and customer satisfaction
• Develop and execute the strategic vision for Workforce & Bill Pay data science, aligning data science priorities with GBSG’s business strategy and Company’s broader AI-driven expert platform goals
• Partner with Workforce & Bill Pay product, engineering, and marketing leaders to deliver insights that improve customer acquisition, onboarding, retention, and lifetime value — balancing growth with risk management
• Drive predictive and generative AI innovation, including applications for customer segmentation, transaction forecasting, fraud mitigation, and personalized experiences
• Own and evolve measurement frameworks for key business and customer outcomes, including growth, profitability, risk, and customer experience metrics
• Champion experimentation and data-driven decision-making, using hypothesis-driven analysis to uncover opportunities for step-change improvements in Workforce & Bill Pay conversion, authorization rates, and customer satisfaction
• Serve as a thought partner to Workforce & Bill Pay and GBSG executives, influencing strategic decisions through compelling storytelling and actionable data narratives
• Foster a culture of inclusion, innovation, and continuous improvement, empowering teams to deliver measurable business impact and grow their careers within a dynamic, fast-paced environment

Collaborate cross-functionally across Company’s ecosystem (Product, Customer Success, Risk, Finance, Marketing, and Design) to deliver shared success metrics and advance enterprise-wide data maturity

• 12+ years of experience in data science, analytics, or related quantitative disciplines; 6+ years of people leadership experience, including leading other managers and senior ICs
• Proven ability to define and execute data science strategies that deliver measurable business growth, revenue impact, and customer benefit
• Demonstrated expertise in supervised and unsupervised learning, experimentation design, and advanced statistical modeling
• Track record of influencing senior executives and partnering across functions to align on shared business goals and KPIs
• Strong background in data storytelling, translating complex quantitative findings into clear, actionable recommendations
• Passion for developing talent, building high-performing, diverse teams, and advancing analytics maturity within large organizations
• Extreme ownership mindset with operational rigor, adaptability, and a focus on business outcomes
• Strong understanding of data infrastructure and pipelines supporting large-scale data products
• Familiarity with modern AI/ML techniques (e.g., LLMs, reinforcement learning, generative AI) and their application to customer and operational use cases

Experience working with cloud-based data ecosystems (AWS, Snowflake, or GCP)

• Deep experience with payments, fintech, or financial services, including familiarity with customer lifecycle analytics, transaction data, and risk modeling
• Proficiency in SQL, Python, R, and data visualization tools (Tableau, Qlik, Looker, or equivalent)

Expertise in machine learning and predictive analytics, including experience with classification, regression, clustering, and embedding models

• Company provides a competitive compensation package with a strong pay for performance rewards approach
• This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Company®: Careers | Benefits)

Pay offered is based on factors such as job-related knowledge, skills, experience, and work location