AVP, AI Modeling Platform

Responsibilities

• Own the vision, strategy, and multi-quarter roadmap for agentic AI solutions that improve bank decisioning outcomes (e.g., fraud/financial crime, credit decisioning, marketing next-best-action, collections, servicing).
• Lead the AI Modeling Platform (AMP) as a product by defining capabilities, prioritizing features, and ensuring reusable components (decision agents, tool use, orchestration, evaluation, monitoring) that accelerate delivery across lines of business.
• Translate business problems into measurable value cases (loss reduction, approval rate lift, fraud capture, cost-to-serve reduction, customer conversion lift) and track benefits realization.
• Establish standards for agent safety, governance, and controls appropriate for regulated banking use (human-in-the-loop, auditability, model/agent documentation, monitoring and escalation playbooks).
• Lead and grow a team of data scientists / ML engineers / decision scientists building agentic solutions end-to-end (prototype → production).
• Coach team members in agentic AI patterns (planning, tool-use, RAG, workflow orchestration, multi-agent collaboration), and in bank decision science fundamentals (risk, uplift modeling, scorecards, optimization, experimentation).
• Build a sustainable talent pipeline through hiring, onboarding, career development, and performance management; create an inclusive culture of high standards, continuous learning, and operational excellence.
• Required Skills/Knowledge:
• Bachelor's or master's degree in Statistics, Economics, Mathematics

Benefits

Additional Information

Job Description: Role Title: AVP, AI Modeling Platform - L11 Company Overview: Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry's most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more. We have recently been ranked #2 among India's Best Companies to Work for by Great Place to Work. We were among the Top 50 India's Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by AmbitionBox Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies. We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being. We provide career advancement and upskilling opportunities, for all to take up leadership roles. Organizational Overview: Credit Team decisions credit actions across the lifecycle of a customer - from acquisition to account management to collections and recovery - we work towards managing credit and fraud losses and elevating customer experience through powerful and proprietary insights on customer risk and credit behaviours. The actionable insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. Spread across 10 pillars the credit team in India caters to the entire gamut of decision sciences, from data management to model development to strategy design, and bringing it all to life through technology, and managing within the guardrails of our regulatory requirements. As part of the team, you will have access to some unique product propositions, functional and leadership training, interaction with executive leadership team and a myriad of diverse perspectives. Role Summary/Purpose: The AVP - AI Modeling Platform (People Manager) role sits within the Credit organization. The incumbent will lead a team of 4+ members, delivering modeling and analytical solutions in partnership with Credit teams. In support of the One Synchrony culture, the role is also responsible for building and leveraging strong relationships across multiple functions within and beyond Credit to drive measurable impact for the SYF business.

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