Director of Engineering, Banking Technology - India

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Job Overview

About Banking Technology

At Citi, Banking Technology serves as the technological backbone for Investment Banking (ECM, DCM and M&A), Commercial Banking, and Corporate Banking services. Our strategic focus is to unify and modernize our technology landscape to empower our Bankers and Clients, and streamline Deal Execution. We are committed to digitization, modernization, integration, and simplification. By working directly with executive bankers and clients, we craft solutions that offer consistency and reusability across the firm, while also addressing the very unique and specific needs of our distinct business personas. Our efforts are grounded in key delivery principles, prioritizing tangible value and business outcomes. This is an exciting time to join us, as we embrace Artificial Intelligence to redefine how we work and create advancements within the banking industry.

The Opportunity

We are seeking a highly experienced and visionary Director of Engineering to lead our Banking Technology initiatives in India. This is a critical leadership role with dual accountability: driving the delivery of our strategic Big Data and Reporting initiatives and leading the continued growth and operational excellence of our India engineering site.

The ideal candidate is a seasoned technology leader with a proven track record of building and managing high-performing engineering teams, fostering a culture of innovation, and delivering complex, impactful projects in a fast-paced environment. You will be instrumental in shaping our technology roadmap, enhancing developer productivity, and embedding next-generation technologies like Generative AI into our core processes and products.

Key Responsibilities

Strategic Leadership & Delivery (Big Data & Reporting)

• Drive Big Data and Reporting Initiatives: Lead the strategy, architecture, and delivery of large-scale big data platforms and sophisticated reporting solutions for the banking sector. This includes leveraging extensive datasets for insights, risk management, fraud detection, and regulatory compliance.
• Technical Vision: Define and execute the technical roadmap for big data and reporting, ensuring alignment with overall business objectives and industry best practices.
• Innovation: Identify and champion new technologies and approaches to enhance data processing, analytics, and reporting capabilities, particularly in real-time analytics and predictive modeling.
• Cross-functional Collaboration: Partner closely with product owners, business stakeholders, and other engineering leaders to translate business requirements into technical solutions and ensure successful delivery.

Site Leadership & Operational Excellence (India)

• Lead India Engineering Site: Provide strategic leadership and operational oversight for the entire engineering organization in India, fostering a strong culture of technical excellence, collaboration, and continuous improvement.
• Talent Management: Attract, develop, and retain top engineering talent, building high-performing and engaged teams. Mentor and coach engineering managers and individual contributors.
• Process Improvement & Efficiency: Champion continuous process improvements across the software development lifecycle (SDLC) to enhance developer productivity, streamline workflows, and optimize resource allocation.
• DevOps & Automation: Drive the adoption and maturity of DevOps practices and extensive automation across all engineering functions, including CI/CD pipelines, automated testing, and infrastructure management, ensuring high-quality, secure, and rapid software delivery.
• Quality Assurance: Ensure the delivery of high-quality, scalable, resilient, and secure software solutions that meet stringent banking industry standards and regulatory requirements. i

Generative AI Integration

• Embed GenAI in Development: Strategically integrate Generative AI tools and methodologies into the software development lifecycle to enhance efficiency, automate code generation, improve testing, and accelerate prototyping.
• GenAI in Functional Deliverables: Explore and implement GenAI solutions for functional deliverables, such as enhancing client experiences, fraud detection models, risk assessment, and personalized banking services.

Required Qualifications

Experience

• 15+ years of experience in software engineering, with at least 5 years in a leadership role (Director level or equivalent) managing large, multi-functional engineering teams.
• Extensive experience in the banking or financial services technology sector in India.
• Proven track record of successfully delivering large-scale big data and reporting initiatives.
• Demonstrated experience in leading and scaling engineering sites, including talent acquisition, development, and retention.
• Strong experience in implementing and maturing DevOps practices and driving automation.
• Experience with the strategic application and embedding of Generative AI in software development and functional applications.

Technical Skills

• Deep expertise with Big Data technologies, particularly Cloudera Hadoop ecosystem (HDFS, Hive, Spark).
• Strong proficiency in Tableau, Java and Angular for full-stack application development.
• Familiarity with Starburst (Trino) is a significant plus, especially its application in real-time analytics and data virtualization for financial services.
• Solid understanding of software architecture, design patterns, and scalable system development.
• Proficiency in modern software development methodologies (Agile, Scrum).

Leadership & Soft Skills

• Exceptional leadership and people management skills, with the ability to inspire, motivate, and develop diverse teams.
• Strong strategic thinking and problem-solving abilities.
• Excellent communication and interpersonal skills, capable of engaging effectively with technical teams, business stakeholders, and senior leadership.
• Ability to drive cultural change and foster a continuous improvement mindset.
• Strong understanding of financial industry regulations and compliance requirements.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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