indeed
Delivery Lead - AI & Data
EXL Service
Karnataka, IND
Full-time
Onsite
Discovered 1 weeks ago
AI and data program deliveryProgram governance and risk managementData platform engineeringCloud data warehouses and lakehouse architecturesSnowflake, Databricks, or RedshiftAirflow and dbt
Free
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AI and data program deliveryProgram governance and risk managementData platform engineering
Role Overview
Own end-to-end execution of complex AI and data programs from project kickoff through sustained production operations.
Lead cross-functional delivery teams and act as the technical owner for solution quality, timing, and value.
Maintain client-facing accountability for delivery outcomes within signed scope while identifying expansion opportunities.
Key Skills for This Role
AI and data program deliveryProgram governance and risk managementData platform engineeringCloud data warehouses and lakehouse architecturesSnowflake, Databricks, or RedshiftAirflow and dbt
Full Job Posting
About the role
Own end-to-end execution of complex AI and data programs from project kickoff through sustained production operations.
Lead cross-functional delivery teams and act as the technical owner for solution quality, timing, and value.
Maintain client-facing accountability for delivery outcomes within signed scope while identifying expansion opportunities.
Delivery ownership and governance
- Own concurrent AI and data programs against scope, budget, and timeline.
- Run sprint cadences, steering committees, risk registers, change control, and delivery dashboards.
- Lead technical teams of data engineers, AI/ML engineers, cloud architects, and business analysts.
- Manage risks, dependencies, blockers, scope, estimates, and resource allocation.
Technical leadership
- Oversee ingestion pipelines, transformation layers, semantic models, and analytics APIs.
- Guide agent orchestration, tool integrations, prompt engineering governance, and AI guardrails.
- Conduct architecture reviews, technical spikes, code gates, and quality gates.
- Promote CI/CD, data observability, lineage, and testing frameworks.
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