Role Overview

We are looking for an experienced Delivery Head – Data & Analytics to lead end-to-end delivery of AWS-based data and analytics solutions. The ideal candidate should have strong expertise in data engineering, cloud architecture, AI/ML, and analytics delivery, along with proven experience managing large teams and enterprise-level programs.

Key Responsibilities

AWS Data & Analytics Delivery

- Lead end-to-end delivery of AWS data engineering, analytics, ML/AI, and BI programs.
- Oversee data lakes and data warehouses using Amazon S3, Redshift, AWS Glue, Athena, Lake Formation, and EMR.
- Manage real-time data pipelines using Kinesis, MSK, Lambda, and Step Functions.
- Drive AI/ML initiatives using Amazon SageMaker, Bedrock, LLMs, and RAG implementations.
- Lead cloud migration projects involving legacy platforms such as Teradata, Oracle, and Hadoop.

Technical & Delivery Leadership

- Define AWS architecture patterns, data modeling standards, and cloud delivery strategies.
- Implement MLOps, LLMOps, and DataOps practices, including CI/CD pipelines.
- Manage multiple large-scale programs, budgets, and complex data environments.
- Drive cloud cost optimization, performance improvement, and governance initiatives.

Team & Client Management

- Lead and mentor teams of data engineers, ML engineers, data scientists, and BI developers.
- Manage client relationships, stakeholder expectations, and delivery commitments.




- Translate business requirements into scalable technical solutions.
- Support pre-sales activities, solution architecture, effort estimation, and delivery planning.
- Drive technical upskilling and AWS certification initiatives.

Required Qualifications
- 15–20 years of experience in data engineering, data analytics, data architecture, or related domains.
- 5+ years of experience in delivery leadership.
- 5+ years of hands-on AWS experience.
- Strong expertise in AWS services, including S3, Redshift, Glue, Athena, Lake Formation, EMR, Kinesis, SageMaker, and Bedrock.
- Proficiency in SQL, Python/Scala, PySpark, and data modeling.
- Experience with AWS CloudFormation/CDK, CI/CD pipelines, and cloud architecture.
- Proven experience delivering large-scale data lakes, data warehouses, production ML models, streaming pipelines, and cloud migrations.
- Strong program management, stakeholder management, and client-facing communication skills.

Preferred Qualifications
- AWS certifications in Data Analytics, Machine Learning, or Solutions Architecture.
- Experience with Amazon Bedrock, RAG implementations, MLOps, and LLMOps.
- Exposure to multi-cloud environments such as Azure and GCP.
- Strong expertise in cloud cost optimization and large-scale data platform delivery.

If you are interested in this chance, please share your updated resume at [email protected]

📌 Delivery Head Data & Analytics (Bengaluru)
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