Executive Manager Data Engineering

You are invited to apply for the position of Executive Manager - Data Engineering with a requirement of 12-20 years of experience. The location for this role is in Bangalore, and the work mode involves being present in the office for 3 out of 5 days. Your primary responsibilities as a Chapter Area Lead will involve collaborating with Crew Leaders to motivate and empower the chapter to align with the squad strategy to enhance customer outcomes. Your focus will be on fostering agility within the Chapter, motivating the squad to embody future ways of working, and ensuring consistent delivery in accordance with the strategic outcomes of the practice area. We are looking for individuals who possess a natural ability to harmonize cultural, people, and technology needs. You should excel in communication, be adept at working across boundaries, sharing challenges, and fostering a unified team spirit across different time zones, cultures, and work methodologies. Your role will also involve supporting Crew Leads with delivery, defining Chapter targets, formulating workforce strategies, and establishing measurable goals. You will be expected to drive a Tech culture of growth and continuous improvement based on data metrics. Proficiency in executive-level stakeholder management to advocate for team ideas and inspire squads to operate with a mindset of constructive challenge towards achieving collective goals is crucial. Identifying technology limitations and deficiencies in existing systems to develop scalable and sustainable long-term solutions will be a key aspect of your role. In terms of skills and experience, we are actively working on developing a best-in-class AWS-based cloud data platform to cater to the data processing and access needs of the CBA group. You should have experience in managing large teams (30+) and holding leadership positions within a data engineering chapter. Expertise in leading platform engineers using AWS services such as EMR, Redshift, and Glue is highly desirable. Furthermore, a background in financial services or a similarly regulated industry with a strong risk-oriented mindset is preferred. Experience in implementing large-scale self-service enterprise data platforms is also highly desirable for this role.,