Job Title: Delivery Head – Data & AI

Experience: 15–20 Years

Role Overview

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

Key Responsibilities

AWS Data & Analytics Delivery

- Lead end-to-end delivery of AWS-based data engineering, analytics, and AI/ML 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 DataOps, MLOps, LLMOps, and CI/CD practices.
- Manage large-scale programs, budgets, delivery timelines, and complex data environments.
- Drive cloud cost optimization, performance improvement, and data governance initiatives.

Team & Client Management

- Lead and mentor teams of data engineers, data architects, data scientists, ML engineers, 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 – Must Have

- 15–20 years of experience in Data Engineering, Data Analytics, Data Architecture, or related domains.
- 5+ years of experience in delivery leadership and managing large teams.
- 5+ years of hands-on AWS Cloud experience in current or recent projects.
- Solid expertise in AWS services, including S3, Redshift, Glue, Athena, Lake Formation, EMR, Kinesis, SageMaker, and Bedrock.
- Strong experience in designing and delivering data lakes, data warehouses, and enterprise data platforms.
- Proficiency in SQL, Python/Scala, PySpark, and data modeling.
- Experience with AWS CloudFormation/CDK, CI/CD pipelines, and cloud architecture.
- Proven experience in large-scale data platform delivery, cloud migrations, and production data pipelines.
- 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, Generative AI, RAG implementations, MLOps, and LLMOps.
- Exposure to multi-cloud environments such as Azure and GCP.
- Strong expertise in cloud cost optimization and enterprise-level data platform delivery.

Interested Candidates Please share your updated resume at [email protected].

📌 Delivery Head Data & Analytics (Bengaluru)
🏢 Joy It Solutions
📍 Bengaluru