Sudhindra Balaji

Senior Vice President at Wells Fargo

Global Technology Leadership

•Catalyst technology leader with a proven track record in the banking industry, focused on delivering solutions, enhancing customer experiences with focus on delivering outcomes of value together with business for customers
•Commercial oriented leadership style with a customer focused mindset and handling large IT and operational budgets
•Speciality in driving organisational transformations, with focus on sustainable cultural transformations
•Strong experience in building and leading high-performance global teams and cultivating a culture of continuous improvement and collaboration to achieve business objectives
•Strong expertise in digital banking, IT strategy, and technology risk management
•Strong advocate for diversity, equity, and inclusion (DE&I) in the workplace, dedicated to building, managing, and operating high-performance global delivery teams that foster a culture of innovation, collaboration, and inclusivity.

•Strong expertise in creating and executing IT strategies, building a strong technology infrastructure, and enabling data-driven decision-making to support business growth.
•Keen interest with first-hand experience in building and driving API strategies for banks, including modernization of IT systems, IT and Enterprise Architecture
•Experience in building strong engineering culture among global IT teams to efficiently develop sustainable innovative customer solutions
•Experience in fostering a culture of innovation through R&D, strategic partnerships, and adoption of emerging technologies such as AI, ML
•Committed to staying at the forefront of technological advancements, fostering collaboration, and driving digital transformation in the banking industry
•Solutions and functional domain experiences range from Core Banking, Digital channels (web, mobile), Payments, AI powered solutions for various regulatory & compliance needs (customer onboarding, KYC), monitoring & observability solutions on Cloud, SaaS solution adoptions in a multi-cloud setup, AI/ML solutions for synthetic data generation and use