[Hiring] Google Data & Analytics Practice Lead @Accenture

Role Description

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.

Qualifications

• 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.
• Bachelor’s in computer science, Engineering, or related field.

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.