Back
Strong Tier-1 brand but senior, specialized data leadership reduces applicant density.
Finance compliance, sensitive data handling, and enterprise AI governance demand industry-specific experience.
Multiple explicit years, leadership, and specific Big Data, cloud, Java, and AI governance requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead multiple software engineering teams focused on financial technology products within Consumer and Community Banking.
Own governance and accountability for coding standards, technical solutions, processes, and operational outcomes like cost, maintainability, and reliability.
Drive adoption and scaling of AI-assisted engineering practices and SDLC automation to improve delivery speed, quality, and operational outcomes across teams.
5+ years applied software engineering experience with formal training or certification.
Minimum 2+ years experience leading technologists and cross-functional teams in complex technical domains.
Technical experience required: Java full stack, big data technologies (AWS Lambda, Glue, EMR, Spark, Kafka), distributed/cloud platforms, API design for high-volume payloads, domain-driven design, data modeling, microservices, event/streaming processes.
Experience with building automated SDLC pipelines (CI/CD, testing, resiliency) and data management, catalog, and governance domains.
Experienced leader capable of mentoring multiple technical teams and influencing cross-functional stakeholders across business, product, and technology.
Strong background in big data and cloud technologies with a focus on automation and performance tuning in heterogeneous environments (AWS, hybrid, on-prem).
Expertise in responsible AI integration within engineering workflows, including governance and secure data handling, capable of coaching leadership on safe scaling practices.