AVP, Data Science & AI

Posted 6 Days Ago
Be an Early Applicant
25 Locations
In-Office or Remote
Senior level
Fintech • Financial Services
The Role
Leads enterprise Data Science and AI initiatives, including GenAI and agentic AI use-case prioritization, prototyping, evaluation, architecture readiness, governance, and production handoff. Manages data scientists and coordinates business, engineering, platform, and enterprise AI stakeholders. Builds evaluation frameworks using quality, safety, latency, cost, and regression metrics while guiding semantic layers, metadata, data integration, agile governance, executive reporting, and scalable responsible AI adoption.
Summary Generated by Built In

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 nation’s 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 patterns

  • Consult 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:

  • Bachelor’s or Master’s 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 and tools (Jira, Kanban, backlog management, sprint planning, and delivery tracking).

  • Good working knowledge on graph database like Neo4j

  • Innovative and agile mindset: Stay current on agentic AI and LLMOps, and operate effectively in fast iteration cycles given the 2-week "breakthrough cycle" of the current AI market.

Eligibility Criteria:

  • Bachelor’s or Master’s 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.

Work Timings:

This role qualifies for Enhanced Flexibility offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs) We are proud to offer flexibility at Synchrony. Our way of working allows you the option to work from home or workspaces in our Regional Engagement Hubs—Hyderabad, Bengaluru, Pune, Kolkata, or Delhi/NCR. Occasionally you may be required to commute or travel to Hyderabad or one of the Regional Engagement Hubs for in-person engagement activities such as business or team meetings, training, and culture events.

For Internal Applicants:

  • Understand the criteria or mandatory skills required for the role, before applying

  • Inform your manager and HRM before applying for any role on Workday

  • Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)

  • Must not be any corrective action plan (Formal/Final Formal)

  • L9+ Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.

  • Level 9+ Employees can apply.

Grade/Level: 11

Job Family Group:

Data Analytics

Skills Required

  • Bachelor's or Master's degree in Computer Science, AI/Data Science, Engineering, Economics, or a related field
  • 6+ years of hands-on experience delivering machine learning and artificial intelligence solutions, or 8+ years of relevant experience in lieu of a degree
  • Hands-on experience delivering Generative AI solutions involving workflow automation, RAG, MCP, and agentic AI orchestration
  • Experience with Copilot, n8n, Zapier, Make, LangChain, LangGraph, CrewAI, AutoGen, or AWS Strands
  • Experience operationalizing agentic AI in AWS, Azure, or GCP, including secure tool and data access, guardrails, and monitoring or evaluation
  • Experience using SQL, SAS or Python, Spark or Scala, and Hive with machine learning techniques and large-scale datasets
  • Expertise in semantic layers, enterprise data architecture, and data engineering
  • Proficiency with Apache Spark, Airflow, Kafka, dbt, and Scala
  • 3+ years of team and project management experience leading cross-functional teams and initiatives
  • Experience in US banking, financial services, and credit card industries
  • Experience operating in highly matrixed organizations and familiarity with Agile delivery practices and tools
  • Working knowledge of graph databases such as Neo4j
  • Knowledge of agentic AI and LLMOps

Synchrony Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Synchrony and has not been reviewed or approved by Synchrony.

  • Parental & Family Support Parental leave is described as extensive, with long paid leave for birthing parents and additional paid leave for all new parents. Backup childcare and eldercare options provide practical support for caregiving needs.
  • Wellbeing & Lifestyle Benefits Well-being offerings are broad, spanning integrated wellness tools, dedicated well-being coaches, and an enhanced assistance program. Reimbursements for activities like fitness apps, swimming lessons, art classes, and meditation, along with pet telehealth and adult orthodontia, reinforce lifestyle support.
  • Fair & Transparent Compensation Pay practices emphasize pay equity across gender and race and a high wage floor for U.S. hourly roles. These signals aim to underpin fairness in base compensation across the organization.

Synchrony Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Stamford, CT
10,001 Employees

What We Do

At Synchrony (NYSE: SYF), we’re changing what’s possible for people and businesses every single day. From offering financing options to creating innovative tech, we help make shopping go smoothly across a variety of industries, like retail, auto, travel and home. Synchrony is one of the largest issuers of store credit cards in the United States. We help consumers pay over time for important expenses, issue co-branded cards for small- and medium-sized business credit products, as well as offer consumer savings products through Synchrony Bank. So, how can we change what’s possible for you?

Similar Jobs

Synchrony Logo Synchrony

Data Architect

Fintech • Financial Services
In-Office or Remote
5 Locations
10001 Employees
In-Office or Remote
26 Locations
10001 Employees

Evolution Logo Evolution

Talent Acquisition Coordinator

Gaming • Information Technology
Remote
Eastern Region, East, CMR
5220 Employees

Synchrony Logo Synchrony

Automation Engineer

Fintech • Financial Services
In-Office or Remote
5 Locations
10001 Employees

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Artificial Intelligence • Fintech • Software
New York, New York
9 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account