Head of Data & Analytics

Job Title: Head of Data & Analytics (Sr Director / AVP Role)
Job Location: Pune, Manikchand Ikon Bund Garden, Balkrishna Sakharam Dhole Patil Rd, Maharashtra 411001, India
Experience Range: 18+ years
Work Mode: In-office role
Shift timings: General Shift (IST)
  
About the Role: We are seeking a visionary and hands-on Senior Leader in Data Engineering to lead the design, development, and scaling of our enterprise data ecosystem. The ideal candidate will possess a deep understanding of cloud-native architecture, modern data platforms, and real-time processing frameworks, while also demonstrating leadership acumen to scale high-performing teams and drive data strategy across the enterprise.


Key Responsibilities:

• Define and execute the enterprise-wide data engineering roadmap aligned with business goals.
  
• Lead the architecture and development of modern data platforms, including data lakes, data lakehouses, and real-time streaming systems.
  
• Drive the adoption of cloud-native data infrastructure across AWS, Azure, and GCP.
  
• Build and manage a high-performing team of data engineers, architects, and platform specialists.
  
• Collaborate with Data Science, Analytics, Product, and Engineering teams to enable self-service data capabilities.
  
• Oversee data pipeline development using ETL/ELT best practices, orchestration frameworks, and automation tools.
  
• Ensure data quality, governance, and security policies are embedded in all processes.
  
• Stay ahead of industry trends and emerging technologies, such as data mesh, data fabric, and generative AI, for optimized data operations.
  

Technology Stack & Requirements:

• Cloud & Storage:
  
• AWS (Glue, Redshift, S3), Azure (Synapse, Data Factory), GCP (BigQuery, Dataflow).
  
• Lakehouse architectures (Databricks, Delta Lake, Apache Iceberg, Snowflake).
  
• Data Processing & Orchestration:Apache Spark, PySpark, Kafka, Flink, Airflow, DBT, Dagster.
  
• Data Integration & Pipelines: Informatica, Talend, Fivetran, Matillion.
  
• Programming & Tools:
  
• Python, SQL, Scala.
  
• CI/CD (GitHub Actions, Jenkins), Infrastructure as Code (Terraform, CloudFormation).
  
• Data Governance & Quality: Collibra, Alation, Monte Carlo, Great Expectations, DataDog for observability.
  
• AI/ML Integration Readiness: Exposure to MLOps pipelines and integration with ML platforms (SageMaker, Vertex AI, Azure ML).
  

• Proven experience building enterprise-scale data platforms (multi terabyte/petabyte scale).
  
• Expertise in data architecture design, platform modernization, and cloud migration.
  
• Leadership experience in managing global teams and working in agile environments.
  
• Deep understanding of data compliance and governance (GDPR, HIPAA, SOC2).
  
• Strong communication and stakeholder management skills, especially with non technical audiences.
  

Delivery Responsibility:
The Head of Data & Analytics will need to have hands-on delivery ownership, ensuring that data engineering initiatives are executed with precision, on time, and within scope.

• Own end-to-end delivery of enterprise data platform projects, from requirements through production deployment, ensuring adherence to timelines, budgets, and quality standards.
  
• Establish and enforce delivery frameworks, sprint cadences, and milestone tracking processes across all data engineering pods and squads.
  
• Actively resolve delivery blockers, manage technical debt backlog, and prioritize release pipelines in coordination with product and engineering leadership.
  
• Drive accountability for SLA/SLO adherence across data pipelines, real-time streaming systems, and lakehouse infrastructure, with measurable uptime and latency KPIs.
  
• Lead cross-functional delivery reviews and retrospectives, instituting continuous improvement cycles to accelerate time-to-value for data products.
  
• Champion agile delivery best practices, including sprint planning, backlog grooming, and velocity reporting, to maintain predictable and transparent delivery cadences.
  
• Collaborate with senior stakeholders to report delivery status, escalate risks proactively, and manage scope changes with structured change-control processes.
  

• Supporting pre-sales, solutioning, and expansion of data & analytics opportunities.
  
• Translate business problems into data architecture solutions.
  
• Provide estimation, sizing, and approach Client engagement Participate in CXO conversations Build credibility as a thought leader Growth & expansion Identify upsell opportunities (modernization, migration, AI) Package reusable offerings (data platform accelerators) Thought leadership Create POVs on data strategy, GenAI, etc. Support proposals, RFP responses.
  
  

• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
  
• Certification in cloud platforms (Azure, AWS, GCP, etc.).