Head - Account Delivery

Key Responsibilities:

1. Leadership in Account Delivery:

• Oversee the delivery of one or more significant strategic accounts in the field of data engineering and analytics.
• Ensure that programs and projects are carried out successfully by adhering to deadlines, quality standards, and client expectations.
• Promote governance among internal and external stakeholders, guaranteeing openness and problem-solving.

2. Management of P&L and Margin:

• Own account-level P&L guarantee margin expansion and topline growth.
• Determine the levers for location strategy, pyramid balance, and cost optimization.
• Monitor and control delivery metrics, utilization, predictions, and budgets.

3. Engagement of Stakeholders and Clients:

• Establish and maintain solid connections with business, IT, procurement, and CXOs, among other client stakeholders.
• Identify opportunities and provide value for the client by acting as a trusted advisor and participating in strategic conversations.
• To support mining, renewals, and new business prospects, collaborate with the sales and presales teams.

4. Leadership Practice and People:

• Oversee and guide data engineers, architects, and delivery managers worldwide.
• Encourage a culture of excellence, creativity, and ongoing education.
• Work together on technological innovation and talent development with the CoE and practice teams.

5. Technical Excellence:

• Bring deep understanding of modern data architecture (cloud data platforms, data lakes, streaming, ELT/ETL, etc.).
• Guide and review solution design and architecture for complex data programs.
• Stay current with trends in GenAI, cloud-native platforms (AWS/GCP/Azure), and modern data stacks.

Required Skills & Qualifications:

• 13+ years of total experience with at least 4 to 6 years in account delivery leadership roles.
• Strong experience in delivering data engineering, data platform modernization, and analytics programs.
• Solid understanding of cloud technologies (Azure/AWS/GCP), Big Data, ELT/ETL tools (Databricks, Snowflake, Spark, Kafka, etc.).
• Proven track record of managing large teams (onsite/offshore), with responsibility for P&L.
• Excellent client-facing skills, including stakeholder management and executive presence.
• Strong problem-solving, program management, and organizational skills.
• Engineering or technical graduate + MBA
• Cloud certifications (e.g., Azure Data Engineer, AWS Big Data Specialty, GCP Data Engineer)
• PMP / PRINCE2 or equivalent project management certifications