VP - Data Engineering

1w1 week ago

Bread Financial

Bengaluru, IN · Full-time

About this role

The Vice President of Data Engineering is a senior technology executive responsible for defining and executing the enterprise operational and analytical data strategy in a highly regulated, data-intensive financial environment. This leader architects modern data platforms and creates data solutions for AI/ML use cases. The role ensures leveraging advanced analytics, generative AI, and automation to drive growth, reduce risk, and enhance customer experiences.

Develop and own the enterprise data roadmap supporting structured and unstructured data for AI use cases, regulatory reporting, and data products. Lead design of cloud-based data platforms for real-time decisioning, reporting, and analytics, overseeing ingestion, enrichment, transformation, and governance of financial data. Translate complex technical concepts into business-aligned narratives for executives and regulators.

Build and lead high-performing teams across data engineering, MLOps, and analytics engineering with 6-10 direct reports. Collaborate with data science teams to implement MLOps and DataOps practices, accelerating deployment while maintaining model integrity and compliance. Reports to SVP and above in a normal office environment.

Serve as a thought leader on data platform architecture and trends shaping financial services. Work at a Bread Financial office a minimum of 6 days per month, with ability to travel up to 10% quarterly. Be challenged, heard, valued, and empowered with tools to create your success story.

Requirements

Bachelor’s Degree in Management Information Systems, Computer Science, Business, Audit, Accounting or related field or equivalent relevant work experience
15+ years experience in Data engineering on AWS cloud infrastructure, AI/ML, or related technical fields, experience with real time decisioning system, payments infrastructure, or core banking modernization
12+ years direct leadership experience
Master’s Degree in Computer Science, Engineering, Data Science or Business Administration (preferred)
AWS Cloud Practitioner or other equivalent cloud certification (preferred)
Strategic Influence
Technical Change Management
Executive Presence

Responsibilities

Develop and own the enterprise data roadmap, including operational and analytical data platforms supporting structured/unstructured data and AI use cases
Lead the design and evolution of cloud-based data platforms supporting real-time decisioning, reporting, and advanced analytics
Oversee data ingestion, enrichment, transformation, and governance for structured, unstructured, and streaming financial data
Build and lead high-performing teams across data engineering, MLOps, and analytics engineering
Collaborate with data science teams to implement MLOps and DataOps practices and accelerate deployment while maintaining model integrity and compliance
Serve as a thought leader on data platform build, architecture, and data trends shaping the financial services landscape
Translate complex technical concepts into business-aligned narratives for executive stakeholders and regulators