General Manager Data & AI Engineering Delivery
Australia and New Zealand Banking Group (ANZ) (company site, opens in a new tab)BengaluruHybridDirect career pageEst. 45–75 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and scale the Data & AI engineering delivery function ensuring secure, scalable, production-ready data pipelines and reusable data products.
- Bridge data and AI strategy to operational execution, managing cross-team priorities and delivery standards across multiple streams.
- Partner with architecture, governance, and business stakeholders to align engineering delivery with enterprise data and AI strategy, maintaining data quality, lineage, and compliance.
Minimum Requirements
- Proven leadership experience managing large engineering and delivery teams at scale.
- Master's or PhD in Computer Science, Engineering, Actuarial Studies, Data Science or AI with hands-on enterprise deployment experience in financial services.
- Deep expertise in data engineering, AI/ML data integration, modern data architectures, cloud platforms, and delivery frameworks (Agile, DevOps, DataOps).
- Work Experience Required: Not explicitly mentioned in the JD. Location: Bengaluru, India.
Ideal Candidate Profile
- Experienced in delivering complex, enterprise-scale data engineering initiatives aligned to banking domain needs including fraud detection and credit scoring.
- Strong strategic and execution capability in building reusable engineering assets and embedding engineering quality and delivery discipline.
- A leader capable of collaborating with multiple stakeholders to translate AI and data priorities into scalable technical solutions within a financial services environment.