Delivery Head - Data & Analytics
- Posted
- Employment
- full time
- Work mode
- unknown
Skills explicitly mentioned: Data Engineering, Analytics, Machine Learning, Artificial Intelligence, Business Intelligence, AWS, S3, Redshift, AWS Glue
Official role: Delivery Head - Data & Analytics Trianz requisition: TR24399 Location: Bangalore, India Experience: 14-18 years Posted: 09-Jan-2026
Company Overview ? ?
Trianz?is an?applied AI solutions company?that accelerates customer business transformation through AI powered?"Transformation Services as a Software Model".?With 25+ years of transforming enterprises,?we've?evolved?to?a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.??
With global presence across 4 continents, our platform portfolio under the unified?Concierto brand?delivers end-to-end transformations including solutions for?Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps?- delivered through strategic partnerships with leading?hyperscalers.??
We're?building the premier innovation-led organization in the digital transformation space through AI-first methodologies and data-driven excellence -?RevolutionAIzing?Transformations.
Delivery Head - Data & Analytics
Role Overview
- Lead end-to-end delivery of AWS data and analytics solutions.
- Own execution of data engineering, ML/AI, and BI programs while building high-performing teams.
Key Responsibilities
AWS Analytics Delivery
- Data platforms: S3 data lakes, Redshift warehouses, Glue ETL, Athena, Lake Formation
- Real-time pipelines: Kinesis, MSK, Lambda, Step Functions
- ML/AI: SageMaker (training, deployment, monitoring), Bedrock (LLMs, RAG), AI services
- BI: QuickSight, Tableau/Power BI on AWS
- Cloud migrations: Legacy platforms (Teradata, Oracle, Hadoop) to AWS
Technical & Delivery Leadership
- Define AWS architecture patterns and data modeling standards
- Implement ML Ops and LLM Ops on SageMaker/Bedrock
- Manage multiple programs ($10M+ budgets, multi-TB datasets)
- Establish DataOps with CI/CD (CloudFormation/CDK, CodePipeline)
Team & Clients
- Lead 30+ data engineers, ML engineers, data scientists, BI developers
- Drive AWS certifications and technical upskilling
- Translate business problems to AWS solutions
- Support pre-sales with architecture design and estimates
Requirements
Must Have
- 15-20 years in data/analytics; 5+ years leading delivery; 5+ years AWS hands-on
- AWS Services: Redshift, S3, Glue, Athena, Lake Formation, EMR, Kinesis, SageMaker, Bedrock
- Technical: Advanced SQL, Python/Scala, PySpark, CloudFormation/CDK, data modeling
- AWS Certs (preferred): Data Analytics Specialty, ML Specialty, Solutions Architect Professional
- Delivered: TB-scale data lakes/warehouses, ML models in production, cloud migrations, streaming pipelines
- Strong program management and client-facing skills
- Bedrock RAG implementations, multi-cloud (Azure/GCP), cost optimization expertise
Location : Bangalore and Hyderabad
Experience : 15 to 20 Years
Why choose Trianz?
- Personal Growth: Startup agility with enterprise impact. Experience rapid innovation cycles while working on Fortune 500 transformations.
- AI-First Future: Where humans and AI revolutionize business. Lead the charge in implementing AI-driven transformation at scale.
- Global Impact: Shape transformation across continents. Work with diverse teams and clients spanning Americas, Europe, Asia, and beyond.
- Executive Access: Direct impact on Fortune 500 strategies. Work alongside C-suite leaders and influence major business decisions.
- Ownership & Entrepreneurial Spirit: Your ideas, our platform, global impact. Zero bureaucracy culture with decision-making autonomy and rapid execution