Job Description:

• Define the vision, structure, and roadmap for the Data Services Practice.
• Build offerings and reusable IPs across Data Engineering, DataOps, Cloud Migration, DQ frameworks, MDM, and Governance.
• Hire and mentor a cross-skilled team including data engineers, architects, analysts, and governance experts.
• Collaborate with Sales, Marketing, and Pre-Sales to define offerings, thought leadership, and GTM campaigns.
• Craft solution themes and accelerators that address industry-specific data challenges.
• Act as a solution architect or SME during sales cycles and client discussions.
• Drive client conversations around enterprise data strategy, platform modernization, and governance.
• Oversee delivery execution and ensure successful delivery of data programs (cloud data platforms, quality, lineage, analytics).
• Ensure engagement metrics around delivery quality, cost, and client satisfaction are met consistently.
• Explore and leverage partnerships with major cloud providers (AWS, Azure, GCP) and data tooling vendors (Snowflake, Databricks, Collibra, Talend, Informatica, etc.).
• Build capabilities around agentic data frameworks, AI-enablement, and data observability.
• Foster a culture of innovation by embedding AI/ML into traditional data processes.
• 15+ years in Data Services/Analytics with experience in architecting and delivering data transformation programs.
• Deep expertise in data engineering (ETL/ELT, pipelines, lakehouses), cloud data platforms, and data governance.
• Client-facing experience with a track record of solutioning and scaling data programs across verticals.
• Exposure to tools like Snowflake, Azure Synapse, Databricks, AWS Redshift, BigQuery, Informatica, Collibra, Talend, etc.
• Experience in building or leading a Data CoE or consulting-led data transformation practice.
• Familiarity with AI/ML use cases, data quality automation, and agent-led observability frameworks.
• Prior exposure to regulatory frameworks (GDPR, HIPAA, etc.) and data privacy models.