Delivery Head

JITO; Bengaluru; Hybrid; INR 1,500,000 - 2,600,000; Full time

Job summary

JITO is seeking an Executive Delivery Head for data, analytics, and AI/ML initiatives in Bengaluru. You will lead end-to-end delivery across global clients, building high-performing data teams and ensuring delivery excellence.

Ideal candidates have extensive experience in cloud platforms, big data tech, and executive stakeholder management, with a track record of multi-million-dollar P&Ls, and a strategic yet hands-on approach.

Qualifications

• Executive leadership experience delivering large data and analytics programs.
• Strong track record of managing global delivery while ensuring business outcomes.
• Experience with data governance, cloud migrations, and analytics delivery.

Responsibilities

• Delivery leadership for data and analytics programs across multiple clients.
• Ensure on-time, on-budget delivery with measurable outcomes.
• Drive best practices in data engineering, governance, cloud migration, and analytics delivery.
• Manage client relationships and identify growth opportunities in data, AI, and digital transformation.
• Stay ahead of trends in data, AI/ML, GenAI, and cloud ecosystems.

Skills

Data Engineering

Analytics

SQL (Snowflake)

dbt

Apache Airflow

Data Modeling

Debugging

Systems

Log analysis

Query performance optimization

Linux basics

Programming

Python

REST APIs

Flask (backend services)

AI RAG

LLMs

MCP

Claude Code

AWS

GCP

Azure

Tools

Snowflake

Hadoop

Spark

Databricks

ETL

MDM

Power BI

Tableau

Job description

Job Type: FullTimePermanent

Work Mode: Hybrid

Experience: Executive

Travel Requirements: NA

Skills:

• Data Engineering & Analytics
• SQL (Snowflake), dbt, Apache Airflow, Data Modeling Debugging & Systems
• Log analysis, Query performance optimization, Linux basics Programming
• Python, REST APIs
• Flask (backend services) AI RAG, LLMs, MCP, Claude Code

Cloud platform experience (AWS, GCP, or Azure).

This is a Leadership Role with one of our clients based in B'lore (a reputed MNC).The Delivery Head - Data will be responsible for leading end-to-end delivery of data, analytics, and AI/ML projects across global clients. This role requires a strategic leader who can ensure successful execution of complex data programs, drive innovation, manage delivery excellence, and strengthen client relationships while building and scaling high-performing data teams

Responsibilities

• Delivery Leadership:
  • Own delivery accountability for all data and analytics programs across multiple clients.
  • Ensure on-time, on-budget, and high-quality delivery with measurable business outcomes.
  • Drive adherence to best practices in data engineering, data governance, cloud migration,and analytics delivery.
• Client & Stakeholder Management:
  • Act as the primary delivery partner for client leadership teams.
  • Proactively manage expectations, resolve escalations, and ensure client satisfaction.
  • Support account growth by identifying new opportunities in data, AI, and digitaltransformation.
• Technology & Innovation:
  • Stay ahead of industry trends in Data, AI/ML, GenAI, and Cloud ecosystems (AWS, Azure,GCP).
  • Foster innovation by driving adoption of automation, accelerators, and reusableframeworks.
  • Collaborate with product/solution teams to enhance data delivery capabilities.
• Key Skills & Competencies:
  • Proven experience in managing large-scale data platform, cloud data engineering, andadvanced analytics programs.
  • Strong leadership in managing global delivery centers/teams.
  • Expertise in cloud platforms (AWS, Azure, GCP), big data technologies (Hadoop, Spark,Databricks), ETL, data governance, MDM, BI/Visualization (Power BI, Tableau), AI/ML.
  • Strong financial acumen with experience managing multi-million-dollar P&L.
  • Excellent client engagement, executive communication, and stakeholder managementskills.
  • Ability to balance strategic vision with hands-on operational delivery.
• Strategic Delivery Excellence:
  • Establish delivery frameworks, governance models, and KPIs for large-scale dataengagements.
  • Champion agile and DevOps methodologies in data program execution.
  • Partner with solutioning, pre-sales, and CoE teams to design scalable delivery models.