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Head Data Analytics Practice

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Hybrid

Head Data Analytics Practice

Flexi Careers India

Head Data Analytics Practice

Skills

Google Cloud PlatformData EngineeringData AnalysisMachine LearningAIAWSBusiness DevelopmentPerformance ManagementAzure

22 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

28 September 2026

What they need


Greetings from Avtar !

We are looking for an experienced and hands-on Head Data & Analytics Practice . The role will involve P&L ownership, revenue growth, customer management, technology leadership, pre-sales, delivery, and people management.

The ideal candidate should have strong experience in Data & Analytics, Data Engineering, Enterprise Data Management, Cloud Data Platforms, AI/ML, and modern data architecture.

Key Responsibilities

  • Own the P&L, revenue, profitability, and growth of the Data & Analytics practice.
  • Identify new business opportunities with existing and new customers.
  • Build and develop differentiated Data & Analytics offerings.
  • Drive the overall practice strategy and expansion.
  • Manage relationships with key customers and senior stakeholders.
  • Understand customer business requirements and translate them into effective data solutions.
  • Provide technical direction across Data Engineering, Analytics, AI/ML, Cloud Data Platforms, and Enterprise Data Management.
  • Guide teams on architecture, solution design, and technology best practices.
  • Stay updated with emerging data and AI technologies.
  • Lead pre-sales, solutioning, proposals, RFPs, estimations, and client presentations.
  • Work closely with Sales teams to convert opportunities into business.
  • Participate in commercial discussions and strategic customer engagements.
  • Lead and mentor a 100+ member Data & Analytics team.
  • Build strong second-line leadership.
  • Drive hiring, performance management, capability development, and employee engagement.
  • Create a culture of ownership, accountability, and continuous learning.

Candidate Profile

  • 20+ years of experience in Data & Analytics, Data Engineering, or Enterprise Data Management.
  • Proven experience in practice leadership and P&L management.
  • Experience managing large teams, preferably 100+ professionals.
  • Strong knowledge of Azure, AWS, and/or GCP.
  • Good understanding of Data Engineering, Data Architecture, Analytics, and AI/ML.
  • Experience working with enterprise customers and CXO-level stakeholders.
  • Strong experience in business development, pre-sales, solutioning, and RFPs.
  • Strong business acumen with the ability to balance growth, delivery, and profitability.
  • Excellent communication, leadership, and stakeholder management skills.

Interested candidates can send in your profile @ [email protected]

Thank You !

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