AVP, Product Analytics

Job Description:

Role Summary/Purpose:

The AVP, Product Analytics is responsible for developing, enhancing, and implementing analytic strategies to drive the profitable growth of our Dual card, Co-brand and Buy Now Pay Later products. The full customer lifecycle is in scope including acquisition, activation, and retention strategies. This role will lead all aspects of analytics for Synchrony acquisition capabilities including Prequalification channel for revolve products, Multi Product Prequalification offering both revolve & BNPL installment products, Acquisition funnel retargeting strategies, and scaling the growth of Unifi – a consumer financing solution that brings together Synchrony’s digital-first products and capabilities into a seamless, best-in class experience. This individual will also be responsible for providing investment analytics across key SYF products including Prescreens, Installment Upgrades, and Balance Transfers.

The desired employee is expected to manage a queue of analytical projects from start to finish and develop actionable recommendations based on findings. This will include product development analytics, customer segmentation, proforma models, automation, improving scalability, and other activities related to improving portfolio performance. This high visibility role is part of the Growth organization with a focus on scaling our products and capabilities across all platforms and clients. This individual is expected to partner with internal product stakeholders and client teams to influence and drive strategy. This role emphasizes data-driven storytelling through financial modeling and understanding profitability dynamics

Our Way of Working

We’re proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.

Essential Responsibilities:

• Strong understanding of KPI’s and ability to tell effective stories connecting KPI trends to business drivers. Lead the development of enterprise analytics dashboards across key SYF acquisition channels, products and capabilities.

• Perform all aspects of analytics including opportunity sizing, segmentation, and profitability to ensure that targeting strategies meets the needs of customers and the business

• Build financial models and forecasts, using cross-functional inputs and assumptions, to drive and sell-in strategies for Prescreen and Balance Transfer programs

• Act as a trusted advisor to solve complex business problems and provide actionable recommendations based upon data driven insights.

• Demonstrate and expand analytics impact with profit/LTV based product decision optimization use cases across all products

• Co-manage team of offshore analysts to ensure high quality execution and delivery of business insights to drive profitable growth

• Conduct ad-hoc analysis as required, bringing independent thought leadership and value-added insights and judgment

• Experience coordinating multiple tasks with aggressive time frames

• Ensure compliance with all applicable model regulatory and governance requirements

• Perform other duties and/or special projects as assigned.

Qualifications/Requirements:

• Bachelor’s degree OR in lieu of Bachelor’s degree, 9+ years of progressive experience working with data/analytics in the financial services, fintech, credit card and/or payments industry or consulting company.

• A minimum of 5+ years of data analytics experience to include:

  • 4+ years of experience in using data tools like SAS, SQL or Python to perform data mining and complex statistical analyses

  • 3+ years' experience in analytics role with cross-functional stakeholders such as marketing, clients, credit risk, finance

  • 3+ years leading large-scale analytics projects

  • 2+ years of advanced financial modeling using Excel

Desired Characteristics:

• Bachelor's degree in economics, mathematics/statistics, finance, business, engineering, or other quantitative fields from an accredited institution

• Extensive knowledge of card and BNPL industry P&L, drivers and assumptions

• Proven hands-on experience utilizing analytical tools such as SAS, SQL, or open-source tools such as R and Python.

• Ability to justify assumptions/inputs and explain financial m