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.).