Director Sr Director Manager Data Engineering Analytics ADMS

Reporting To: CEO

End Customers: USA & Europe

Domains (End Clients): Energy & Utilities (Power, Utilities, Renewables, Smart Grid) OR Automotive / Transportation (OEMs, Tier-1 Suppliers, Mobility, Logistics)

Location: Bangalore (Hybrid)

Employment Type: Full-Time

About The Role

We are seeking a strategic and hands-on Practice Head / Director – Data Engineering (+ Analytics + ADMS) to build and scale our Data Engineering, Analytics, and Application Development & Maintenance Services (ADMS) practice. The role requires strong leadership combined with deep technical expertise in modern data platforms, cloud, and digital engineering, with a proven track record of delivering large-scale solutions for international clients.

The ideal candidate will bring 18–24 years of experience across Data Engineering, Analytics, Cloud, and ADMS, with strong exposure to Energy & Utilities or Automotive / Transportation domains. This role combines delivery ownership, presales leadership, and P&L responsibility, reporting directly to the CEO.

The leader is expected to grow the practice into a large, sustainable business over 2–3 years, aligned with the organization’s strategic goals, culture, and values.

Key Responsibilities

• Technology & Data Leadership
• Lead Data Engineering, Analytics, and ADMS solutions for global clients.
• Guide architecture and delivery of:
• Data pipelines (ETL/ELT), data lakes, data warehouses
• Analytics, dashboards, and reporting
• Exposure to AI/ML and advanced analytics is an advantage
• Strong understanding of Python, SQL, Java/Scala and modern data frameworks.
• Hands-on knowledge of Cloud Data Platforms on AWS / Azure / GCP.
• Promote best practices such as Agile, CI/CD, DevOps, and DataOps.
• Delivery Leadership
• Own end-to-end delivery of Data Engineering, Analytics, and ADMS programs.
• Manage large offshore and onsite teams across geographies.
• Ensure quality delivery, SLA adherence, security, and business outcomes.
• Establish delivery governance, reporting, and client communication.
• Apply estimation techniques and continuous improvement practices.
• Practice & Capability Development
• Build and scale Data Engineering & Analytics capabilities.
• Define reusable frameworks, accelerators, and best practices.
• Upskill teams on data platforms, cloud-native engineering, and analytics.
• Standardize delivery processes and documentation.
• People & Talent Leadership
• Drive hiring and capability building for Data Engineering and Analytics teams.
• Develop strong delivery and technical leaders.
• Own performance management, learning, and team development.
• Mentor and coach senior team members.
  
  

• 15–20 years of progressive IT experience, with a strong foundation in Data Engineering, Analytics, and ADMS.
• Proven experience growing practices from mid-size to large-scale delivery organizations.
• Strong domain expertise in Energy & Utilities or Automotive / Transportation.
• Hands-on technical background in:
• Languages: Python, SQL, Java/Scala
• Data Engineering: ETL/ELT, Data Lakes, Data Warehouses, Streaming
• Cloud Platforms: AWS / Azure / GCP
• Analytics & BI: dashboards, reporting, KPIs
• Experience managing large global delivery teams and multiple client engagements.
• Strong presales, client management, and stakeholder engagement skills.
• High energy, result-oriented, and growth-focused mindset.
  
  

• Cloud Certifications (AWS / Azure / GCP)
• Data & Analytics Certifications (Snowflake, Databricks, BigQuery, Synapse – preferred)
• PMP / PRINCE2 / ITIL / Agile / SAFe
  
  

• Proven leadership in Delivery, Client Management, and Practice Growth.
• Strong people leadership with mentoring and coaching capabilities.
• Ability to manage distributed teams across India, USA, and Europe.
• Excellent communication (verbal & written) and executive-level reporting skills.
• Strategic thinker with strong execution focus.
  
  

• Bachelor’s degree in Computer Science, Information Technology, Electronics & Communication, or related field.
• Experience: 15–20 years (role dependent: Manager / Director / Sr. Director).