
Key Responsibilities:
- Own overall delivery for one or more large strategic accounts in the Data Engineering/Analytics domain.
- Ensure successful execution of programs/projects by meeting timelines, quality standards, and client expectations.
- Drive governance with internal and client stakeholders and ensure transparency and issue resolution.
- Own account-level P&L; ensure topline growth and margin expansion.
- Identify levers for cost optimization, pyramid balancing, and location strategy.
- Track and manage budgets, forecasts, utilization, and delivery metrics.
- Build and nurture strong relationships with client stakeholders (business, IT, procurement, and CXOs).
- Act as a trusted advisor and engage in strategic discussions to identify opportunities and drive value for the client.
- Partner with sales and presales teams to support mining, renewals, and new business opportunities.
- Lead and mentor delivery managers, architects, and data engineers across geographies.
- Foster a culture of high performance, innovation, and continuous learning.
- Collaborate with the CoE and practice teams for talent development and technology innovation.
- 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:
- 15+ years of total experience with at least 5+ 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.
- Cloud certifications (e.g., Azure Data Engineer, AWS Big Data Specialty, GCP Data Engineer)
- PMP / PRINCE2 or equivalent project management certifications
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