General Manager - Data & AI Platforms - Banking/Financial Services

Role Overview:

A leading financial services organisation is seeking a General Manager to lead its enterprise data and artificial intelligence platforms. The role owns platform strategy, architecture, engineering, operations, and continuous improvement across data, AI/ML, and Generative AI ecosystems. The mandate includes enabling enterprise analytics and AI adoption while ensuring scalability, security, regulatory compliance, reliability, and cost efficiency. The role reports to the Chief Data & AI Officer and leads platform engineering and operations capabilities.

Key Responsibilities:

- Define and execute the enterprise data and AI platform strategy, roadmap, and modernisation agenda.

- Own the design, delivery, reliability, scalability, and lifecycle management of enterprise data and AI platforms.

- Enable AI/ML and Generative AI workloads, model deployment, and machine learning operations.

- Establish platform engineering standards, cloud-native practices, automation, and data governance controls.

- Own platform budgets, financial planning, vendor relationships, and infrastructure cost optimisation.

- Build and lead high-performing platform engineering and operations teams, partnering with data, architecture, AI, and business stakeholders.

Ideal Candidate Profile:

- 20 - 28 years of overall experience, including substantial hands-on enterprise technology deployment experience.

- Strong background in enterprise data platforms, AI/ML platforms, and cloud-based architectures.

- Experience defining and delivering platform strategy and roadmaps at enterprise scale.

- Demonstrated expertise in data lakes, data warehouses, streaming, data products, Generative AI, and machine learning operations.

- Experience managing technology platforms in regulated financial services environments, with strong security, privacy, resilience, and compliance understanding.

- Proven leadership in platform engineering, operations, financial management, and cost optimisation; willing to work onsite in Bengaluru.