Leading Associate Vice President - Head of Data & AI Platform Operations [T500-26259]

About Deutsche Börse Group:

Headquartered in Frankfurt, Germany, Deutsche Börse Group is a leading international exchange organization and market infrastructure provider. They empower investors, financial institutions, and companies by facilitating access to global capital markets.

Their India centre is located in Hyderabad, serves as a key strategic hub and comprises India’s top-tier tech talent. They focus on crafting advanced IT solutions that elevate market infrastructure and services. Deutsche Börse Group in India is composed of a team of capital market engineers forming the backbone of financial markets worldwide.

Your area of work:

As part of Deutsche Börse Group’s digital transformation and cloud migration journey, the Big Data & Advanced Analytics (BDAA) team is seeking Head of Data & AI Platform Operations. This role focuses on building and establishing Data Platform Operations team to ensure our data platform operational excellence, covering day-to-day health monitoring, platform monitoring toolset enhancements, maintain the Databricks workspaces and handle the end-user business requests.

Your Responsibilities:

• Lead, mentor, and scale the Data & AI Platform Operations team.
• Oversee day-to-day platform stability, and reliability for our Databricks platform.
• Operate, monitor, and maintain Databricks workspaces to manage operational framework configurations: clusters, libraries, policies, access control and governance structures using Unity Catalog.
• Implement and manage monitoring, alerting, observability, and logging frameworks.
• Proactively identify issues, perform troubleshooting, and lead incident response and root, cause analyses to adhere to platform SLAs/SLOs.
• Lead/oversee development of automation scripts (Python , Terraform, CLI) to streamline repetitive tasks and operational workflows.
• Design and contribute to operational handbooks, knowledge base, and technical documentation.

Your Profile:

• Proven experience leading and developing highly performing technical teams in complex, fast-paced environments.
• Demonstrated ability to collaborate effectively with distributed teams across multiple geographical locations and time zones.
• Strong background in cloud technologies and cloud native operations (e.g., Azure or GCP ), with understanding of cloud service lifecycles and operational patterns.
• Solid knowledge of data engineering ecosystems (preferably Databricks), familiarity with Data Mesh paradigm.
• Experience with monitoring/observability tools (Prometheus, Azure Monitor, Splunk, Grafana).
• Understanding data management & governance principles, platform monitoring, and ITIL processes.