Head of Digital Twin -Utilities or Pumping Stations

Job Title: Head Digital Twin | Utilities, Pumping Systems & Rotating Equipment

Location: Bengaluru
Experience: 10–15 Years
Employment Type: Full-Time
Function: Artificial Intelligence & Machine Learning / Technology
Reports To: Chief Research and Innovation Officer

Job Summary

Pump Academy Private Limited is looking for a Head – Digital Twin to architect and lead asset-centric Digital Twin solutions for pumping stations, pumps, motors, VFDs, transformers, pipelines, reservoirs and utility infrastructure.

The role combines engineering physics, IIoT data, AI/ML, simulation and systems modelling to build real-time, decision-grade Digital Twins for performance monitoring, predictive analytics, operational optimisation and asset reliability.

This is not a 3D/BIM visualisation-focused role. We are looking for candidates with strong engineering modelling capabilities who can translate real-world asset behaviour and sensor data into scalable Digital Twin models.

Key Responsibilities

• Define and lead the overall Digital Twin architecture for pumps, motors, VFDs, transformers, pipelines, reservoirs and pumping stations.
• Develop physics-based, data-driven and hybrid Digital Twin models.
• Build models for hydraulic performance, energy efficiency, equipment degradation, faults and failure modes.
• Integrate real-time IIoT sensor data, SCADA signals and historical asset data into Digital Twin models.
• Work with AI/ML teams on predictive and prescriptive analytics.
• Coordinate with Hardware/Firmware teams on sensor strategy, data quality and data fidelity.
• Validate Digital Twin outputs against actual field and operational behaviour.
• Enable anomaly detection, root-cause analysis and asset-performance benchmarking.
• Develop what-if simulation and operational optimisation capabilities.
• Define model/twin accuracy metrics, validation frameworks and lifecycle governance.
• Build and mentor a multidisciplinary Digital Twin team.

Candidate Profile

Education:
B.Tech/M.Tech in Mechanical, Electrical, Energy, Systems Engineering or related engineering discipline.

Experience:

• 10–15 years of relevant experience in Digital Twin, engineering modelling, simulation, advanced analytics or asset-performance solutions.
• Strong domain exposure to pumping systems, rotating equipment, water/wastewater, energy or utility infrastructure.
• Experience developing physics-based and/or hybrid AI models.
• Strong understanding of hydraulic and energy modelling.
• Hands-on understanding of IIoT data, SCADA systems, sensor data and asset data structures.
• Ability to convert physical asset behaviour and engineering principles into scalable digital models.
• Exposure to AI/ML, predictive analytics and simulation platforms is preferred.

Preferred Domain Exposure

Water & Wastewater | Pumping Stations | Pumps & Motors | Rotating Equipment | Utilities | Energy | Industrial IoT | Asset Performance Management | Predictive Maintenance | Industrial Automation

Key Skills

Digital Twin, Digital Twin Architecture, Physics-Based Modelling, Physics-Informed Modelling, Engineering Simulation, IIoT, Industrial IoT, Predictive Analytics, Predictive Maintenance, Rotating Equipment, Pumps, Pumping Systems, Hydraulic Modelling, Energy Modelling, SCADA, Asset Performance Management, Condition Monitoring, AI/ML, Anomaly Detection, Root Cause Analysis

Why Join Us?

Own the intelligence layer that converts real-time sensor and engineering data into operational insights and decisions across critical utility infrastructure — directly contributing to energy optimisation, improved asset life, predictive maintenance and service reliability.