Google Cloud Data and Analytics Practice Lead

Accenture India Private Limited; Bengaluru; Hybrid; INR 2,500,000 - 7,000,000; Full time

Job summary

Accenture India Private Limited seeks a senior leader to own the Google Cloud Data & Analytics practice within AGBG. The role focuses on practice leadership, delivery execution, and technical excellence across Data & AI solutions on Google Cloud.

You will oversee delivery quality, develop team capability, and support pursuits, proposals, and offerings while guiding delivery leads and engineers in complex engagements across India.

Qualifications

• 12+ years in data, analytics, cloud engineering, and technology delivery with leadership experience.
• 5+ years of deep Google Cloud Data & AI solutions delivery leadership.
• Experience building reusable assets and growing practice capability in consulting-led environments.

Responsibilities

• Lead the Google Cloud Data & Analytics practice, owning delivery execution, quality, reusable assets, and capability growth across the domain.
• Provide technical leadership across Data & AI engagements, guiding delivery teams in data migration, modernization, analytics, and marketing intelligence.
• Oversee delivery leads and engineering teams across multiple projects ensuring high-quality execution and consistent outcomes.
• Collaborate with offering, sales, alliance, and leadership teams to support pursuits, proposals, and scalable delivery aligned to market demand.

Skills

Google Cloud Platform

Data & AI Engineering

Practice Leadership

Delivery Execution

People Leadership

Education

Bachelor’s in Computer Science/Engineering

Tools

BigQuery

Dataflow

Looker

Vertex AI

Spanner

Cloud SQL

Pub/Sub

Job description

Google Data & Analytics Practice Lead

Google Data & Analytics Practice Lead Job Title: Google Data & Analytics Practice Lead Management Level: 07-Manager Location: Bengaluru / All over India

Must-have skills: Google Cloud Platform, Data & AI Engineering, Practice Leadership, Delivery Execution, People Leadership

Good-to-have skills: Google Cloud Professional certifications such as Data Engineer or Cloud Architect

Experience: 12+ years in data, analytics, cloud engineering, and technology delivery, including leadership of teams, capability development, and multiple concurrent Google Cloud engagements. 5+ years of deep experience in Google Cloud Data & AI solutions and delivery leadership. Experience leading delivery leads and engineers, building reusable assets, and growing practice capability in consulting-led environments.

Educational Qualification: Bachelor’s in computer science, Engineering, or related field

Job Summary

We are seeking a senior leader to own the Google Cloud Data & Analytics practice within AGBG. This role is accountable for practice leadership, delivery execution, technical excellence, and capability growth across the domain. The Practice Lead provides deep domain expertise across Data & AI solutions on Google Cloud, oversees delivery quality across engagements, develops team capability, and supports pursuits, proposals, and offering alignment. This is a leadership role for a hands‑on domain expert who can guide delivery leaders, stay current on evolving Google Cloud capabilities, and build a high-performing practice.

Roles & Responsibilities

Lead the Google Cloud Data & Analytics practice, owning delivery execution, quality, reusable assets, and practice capability across the domain. Provide technical leadership across Data & AI engagements, guiding delivery teams in areas such as data migration, modernization, analytics, customer 360, marketing intelligence, and AI-enabled data solutions. Oversee delivery leads and engineering teams across multiple projects, ensuring high-quality execution, delivery readiness, risk management, and consistent outcomes. Build domain capability by driving learning plans, upskilling, hiring, coaching, and knowledge sharing so teams stay current with the latest Google Cloud innovations. Act as the senior domain expert for clients and internal teams, providing advisory support, addressing complex technical issues, and strengthening delivery confidence. Collaborate closely with offering, sales, alliance, and leadership teams to support pursuits, proposals, and scalable delivery aligned to market demand.

Professional & Technical Skills

Deep Google Cloud expertise across Data & AI solutions, for example BigQuery, Dataflow, Pub/Sub, Looker, Vertex AI, Cloud SQL, Spanner, and Bigtable. Strong experience in data platform modernization, data engineering, analytics, customer 360, identity, segmentation, activation, and marketing intelligence. Proven leadership in delivery governance, people development, reusable asset creation, and practice building in a consulting-led environment.