Role Mandate:

Own the strategy, engineering, administration, reliability, security, governance and financial performance of the Bank's Azure and Databricks-based Enterprise Data Platform, enabling trusted Data, Analytics, AI and Regulatory workloads at scale.

Key Accountabilities:

- Platform Strategy & Architecture: Define the EDP strategy, roadmap, architecture standards and operating model aligned to business, regulatory, analytics and AI priorities.

- Databricks Administration: Own all workspaces and environments, including Unity Catalog, metastores, compute, SQL warehouses, Lakeflow pipelines, MLflow, AI Gateway and platform services.

- Azure Platform Operations: Govern ADLS, networking, identity, security, monitoring, backup and disaster recovery.

- Reliability & Service Management: Own availability, SLAs, observability, incidents, problems, changes, capacity and service reviews.

- FinOps & Cost Optimization: Lead Databricks and Azure FinOps, including DBU optimization, right-sizing, workspace consolidation, tagging, showback/chargeback, forecasting, storage lifecycle management and delivery of savings targets.

- Security & Governance: Govern RBAC, ABAC, Unity Catalog permissions, identity, UAR, segregation of duties, audit evidence and privacy controls.

- DevOps, DataOps & MLOps: Standardize CI/CD, infrastructure as code, release engineering and policy automation.

- AI/ML & GenAI Enablement: Provide secure and scalable platform services for ML, LLM/SLM, vector databases and AI Gateway.

Core Capabilities:

- Azure, Databricks, Unity Catalog, ADLS, networking and security

- Platform engineering, SRE, observability and service management

- DevOps, DataOps, MLOps, Terraform, Azure DevOps/GitHub

- SQL, Python, automation, monitoring and executive dashboards

- FinOps frameworks, cloud economics and cost allocation

- Identity and access management, UAR and audit controls

- Disaster recovery, business continuity and capacity planning

- Banking data platforms, regulatory workloads, Analytics and AI/GenAI

Experience & Qualifications:

- 15 - 20 years in data platforms, cloud platforms, infrastructure or enterprise technology.

- 7+ years leading large-scale cloud and data platforms.

- Strong Azure and Databricks experience with platform engineering, operations, security and FinOps accountability.

- Bachelor's degree in Engineering, Computer Science, IT or related discipline; banking experience preferred.