Role Title AVP Data Science AI L11 Company Overview Synchrony NYSE SYF is a leading consumer financing company that has been at the heart of American commerce and opportunity for nearly a century Synchrony delivers credit and banking products that empower tens of millions of consumers to improve their financial lives and access what matters most Leveraging creative solutions that are shaping the future of retail commerce Synchrony supports the growth and success of some of the nations most respected brands alongside hundreds of thousands of small and midsize businesses including health and wellness providers Committed to excellence in service and culture Synchrony is proud to be named as 3 as a Great Place to Work in India and is honored to be ranked the 1 Best Company to Work For in the U S by Fortune magazine and Outstanding Place to Work For more information visit www synchrony com Organizational Overview This role is part of enterprisefocused Data Science AI team responsible for enabling and accelerating strategic AI bets across the organization These bets focus on improving the efficiency of internal business processes and workflows while strengthening foundational data and platform capabilities Role Summary Purpose The AVP Data Science AI is a leadership role with people management responsibilities in the Data Science AI team part of Analytics in India rolling up to Growth organisation This role is responsible for enabling and evaluating strategic Generative AI and Agentic AI priorities across the organization and plays a critical leadership role in advancing foundational capability readiness The AVP will lead a team of data scientists and operate at the intersection of business strategy AI solutions data architecture and engineering enterprise platforms controls and agile program execution Key responsibilities include defining AI usecase requirements evaluating feasibility and business value and assessing readiness across data platform architecture and control dimensions This role requires a blend of collaborative and transformational leadership strong people management capabilities and handson expertise in AI ML prototyping data evaluation and capability assessment to help drive scalable responsible and impactful AI adoption across the organization Key Responsibilities Build Define prioritized AI use cases with clear business outcomes and measurable success metrics Prototype GenAI solutions workflow automation RAG MCP agentic orchestration and drive productionready AI ML solution designs and handoff Assess Evaluate Lead endtoend readiness assessments architecture semantic layer platform tooling governance controls operational integration Build and run an AI evaluation harness golden datasets automated metrics for quality groundedness safety latency cost with benchmarking regression tests and release gates Data Architecture Support technical data and integration requirements guide scalable AI data architecture patterns Consult on semantic layer design metadata strategy and data integration lineage standards Stakeholder Cross functional Management Coordinate crossfunctional delivery across business enterprise AI program engineering data and platform teams align dependencies and milestones Drive agile governance and executive reporting backlog JiraKanban hygiene status risk management roadmap and leadership updates Required Skills Knowledge Bachelors or Masters degree in Computer Science AI Data Science Engineering Economics or such related fields with 6 years of handson experience in delivering ML AI solutions or 8 years of relevant experience in lieu of a degree Handson experience in delivering GenAI solutions involving workflow automations Copilot n8n Zapier Make RAG MCP Agentic AI Orchestration using Langchain LangGraph CrewAI AutoGen AWS Strands Experience building and operationalizing agentic AI in AWS AgentCore Bedrock Azure OpenAI Service or GCP Vertex AI including secure tool data access guardrails and monitoring evaluation Experience using tools such as SQL SAS Python Spark Scala Hive with demonstrated ability to apply Machine Learning techniques and efficiently work with complex largescale datasets Robust expertise in semantic layers enterprise data architecture and data engineering with proven proficiency in tools and frameworks such as Apache Spark Airflow Kafka dbt and Scala 3 years of team and project management experience leading crossfunctional teams and initiatives partnering with business and technology stakeholders and synthesizing outcomes into executiveready insights and recommendations Desired Skills Knowledge Experience in the US banking financial services and credit card industry Proven ability to operate effectively in

📌 AVP Data Science and AI Pune
🏢 Synchrony
📍 Pune