Job Description
Head – Digital Twin (Utilities | Pumping Stations & Rotating Equipment)
Reporting to:
CTO
Experience:
10–15 years
Domain:
Water, Wastewater, Energy, Utilities, Rotating Equipment
We are looking for a Head of Digital Twin to architect and lead asset-centric digital twin platforms for pumping stations, rotating equipment, and utility infrastructure.
This role sits at the intersection of engineering physics, IIo T data, AI/ML, and systems modelling. The mandate is to build living, decision-grade digital twins, not static 3 D visuals.
Key Responsibilities:
Define and lead the digital twin architecture for pumps, motors, VFDs, transformers, pipelines, reservoirs, and pumping stations
Develop physics-informed and data-driven models for:
a. hydraulic performance
b. energy efficiency
c. degradation, faults, and failure modes
d. integrate IIo T sensor data, SCADA signals, and historical data into real-time digital twins
3. Work in close coordination with:
a. AI/ML teams for predictive and prescriptive analytics
b. hardware & firmware teams for sensor strategy and data fidelity
c. Operations teams for real-world validation
4. Enable use cases such as:
a. performance benchmarking
b. anomaly detection and root-cause analysis
c. what-if simulations and operational optimisation
d. Define twin accuracy metrics, validation frameworks, and lifecycle governance
e. Build and mentor a multi-disciplinary digital twin team
Required Background:
10–15 years of experience in digital twin, advanced analytics, or engineering modelling
Strong domain exposure to pumping systems, rotating equipment, or utility infrastructure
Experience with:
Hydraulic and energy modelling
Physics-based and hybrid AI models
Hands-on understanding of IIo T data pipelines and asset data structures
Ability to translate field behavior into scalable digital models
Education:
B. Tech / M. Tech in Mechanical, Electrical, Energy, or Systems Engineering
Exposure to AI/ML, simulation platforms, or advanced analytics is a strong plus
Why This Role:
You will own the intelligence layer that converts raw sensor data into operational insight and decisions across critical utility infrastructure. This role directly impacts energy savings, asset life, and service reliability.
Reporting to:
CTO
Experience:
10–15 years
Domain:
Water, Wastewater, Energy, Utilities, Rotating Equipment
We are looking for a Head of Digital Twin to architect and lead asset-centric digital twin platforms for pumping stations, rotating equipment, and utility infrastructure.
This role sits at the intersection of engineering physics, IIo T data, AI/ML, and systems modelling. The mandate is to build living, decision-grade digital twins, not static 3 D visuals.
Key Responsibilities:
Define and lead the digital twin architecture for pumps, motors, VFDs, transformers, pipelines, reservoirs, and pumping stations
Develop physics-informed and data-driven models for:
a. hydraulic performance
b. energy efficiency
c. degradation, faults, and failure modes
d. integrate IIo T sensor data, SCADA signals, and historical data into real-time digital twins
3. Work in close coordination with:
a. AI/ML teams for predictive and prescriptive analytics
b. hardware & firmware teams for sensor strategy and data fidelity
c. Operations teams for real-world validation
4. Enable use cases such as:
a. performance benchmarking
b. anomaly detection and root-cause analysis
c. what-if simulations and operational optimisation
d. Define twin accuracy metrics, validation frameworks, and lifecycle governance
e. Build and mentor a multi-disciplinary digital twin team
Required Background:
10–15 years of experience in digital twin, advanced analytics, or engineering modelling
Strong domain exposure to pumping systems, rotating equipment, or utility infrastructure
Experience with:
Hydraulic and energy modelling
Physics-based and hybrid AI models
Hands-on understanding of IIo T data pipelines and asset data structures
Ability to translate field behavior into scalable digital models
Education:
B. Tech / M. Tech in Mechanical, Electrical, Energy, or Systems Engineering
Exposure to AI/ML, simulation platforms, or advanced analytics is a strong plus
Why This Role:
You will own the intelligence layer that converts raw sensor data into operational insight and decisions across critical utility infrastructure. This role directly impacts energy savings, asset life, and service reliability.
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