AVP, GenAI & Enterprise AI — Remote

Relha LLC; Hinoba-an; Hybrid; PHP 2,497,000 - 4,600,000; Full time

Job summary

Synchrony India is seeking a senior AVP for Data Science & AI to lead a team of data scientists and advance strategic Generative AI initiatives. You will work at the intersection of business strategy, AI solutions, data architecture, and enterprise platforms to drive scalable, responsible AI adoption.

You will define AI use cases, assess feasibility, and ensure governance, controls, and performance across data and technology stacks while partnering with stakeholders across the organization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI/Data Science, Engineering, Economics or related fields.
• 6+ years of hands-on experience delivering ML & AI solutions, or 8+ years in lieu of a degree.

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 solution designs and handoff.
• Lead end-to-end readiness assessments (architecture/semantic layer, platform/tooling, governance/controls, operational integration).
• Build and run an AI evaluation harness with golden datasets, automated metrics, benchmarking, and release gates.
• Consult on semantic layer design, metadata strategy, and data integration/lineage standards.
• Coordinate cross-functional delivery across business, enterprise AI program, engineering, data, and platform teams; manage backlog and governance.

Skills

GenAI solutions

Workflow automation

RAG

Agentic AI orchestration

Langchain

OpenAI/AWS/Azure/GCP AI services

SQL

Python

Spark

Airflow

Kafka

dbt

Scala

AgentCore/Bedrock

Education

Bachelor’s or Master’s in Computer Science, AI/Data Science, Engineering, Economics

Tools

Neo4j

Job description

Synchrony India is seeking a senior AVP for Data Science & AI to lead a team of data scientists and advance strategic Generative AI initiatives. You will work at the intersection of business strategy, AI solutions, data architecture, and enterprise platforms to drive scalable, responsible AI adoption.

You will define AI use cases, assess feasibility, and ensure governance, controls, and performance across data and technology stacks while partnering with stakeholders across the organization.