AVP, Data Science & AI

Synchrony; Delhi; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Synchrony seeks an AVP, Data Science & AI (L11) in Delhi to lead a team delivering strategic AI initiatives across the organization. You will define AI use cases, evaluate feasibility and business value, and ensure readiness across data, architecture, and controls while guiding enterprise AI adoption with responsible practices.

You will prototype GenAI solutions, manage data science talent, coordinate with engineering and platform teams, and report progress to senior leadership.

Qualifications

• Bachelors or Masters in Computer Science, AI/Data Science, Engineering, Economics or related fields.

Responsibilities

• Define prioritized AI use cases with clear business outcomes and measurable success metrics.
• Prototype GenAI solutions (workflow automation, RAG, MCP, agentic orchestration) and drive production‑ready AI/ML designs.
• Lead end-to-end readiness assessments across architecture, platform, tooling, governance, and operations.
• Build an AI evaluation harness with metrics for quality, safety, latency, and cost, plus automated tests and gates.
• Coordinate cross‑functional delivery with business, engineering, data, and enterprise AI teams; drive governance and leadership updates.

Skills

GenAI solutions

Workflow automation

AI prototyping

Team leadership

ML/AI techniques

Data evaluation

AWS/Azure/GCP

Education

Bachelor/Master in CS/AI/Data Science/Engineering

Tools

SQL

Python

Spark

Kafka

dbt

Airflow

Scala

Job description

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 innovative 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 Great Place to Work. For more information, visit www.synchrony.com.

Organizational Overview

This role is part of enterprise-focused 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 use‑case 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 hands‑on 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 production‑ready AI & ML solution designs and handoff.

Assess & Evaluate

Lead end-to-end 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 patternsConsult on semantic layer design, metadata strategy, and data integration/lineage standards.

Stakeholder/Cross functional Management

Coordinate cross‑functional delivery across business, enterprise AI program, engineering, data, and platform teams; align dependencies and milestones.Drive agile governance and executive reporting (backlog/Jira‑Kanban 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, large‑scale datasets.Strong 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 cross‑functional teams and initiatives, partnering with business and technology stakeholders, and synthesizing outcomes into executive‑ready insights and recommendations.

Desired Skills & Knowledge

Experience in the US banking, financial services, and credit card industry.Proven ability to operate effectively in highly matrixed organizations, with strong familiarity with Agile delivery practices .