Senior Consultant - Asset Management (Data Consultant)

This is a pivotal role within the Energy business, acting as a bridge between asset management, digital analytics, and engineering service lines. The Asset Management Data Consultant will lead and support data-driven initiatives across multiple projects and internal workstreams, improving how data is structured, analysed, visualised, and used to inform decision-making.

The role combines technical data capability with asset domain expertise and requires strong stakeholder engagement across internal teams and external clients.

1. Cross-Business Data Leadership

• Act as a central point of contact for data analytics across Energy service lines
• Support consistency in data structures, reporting approaches, and analytical methods across projects
• Enable integration of data workflows between disciplines
• Develop advanced analytics to support:
• Asset performance trending
• Failure prediction and anomaly detection
• Asset health and risk scoring
• Analyse data from SCADA, CMMS, operational logs, and engineering datasets
• Convert complex datasets into meaningful insights and clear recommendations
• Design and build interactive dashboards (Power BI or similar) for:
• Internal project delivery tracking
• Asset performance monitoring
• Client-facing reporting tools
• Develop reusable analytics templates and visualisation standards
• Support development of internal tools and digital products for asset management
• Improve how asset data is structured, captured, and used across projects
• Support implementation of digital asset management frameworks (aligned to ISO 55001 principles)
• Identify inefficiencies in current workflows and propose data-driven improvements
• Support development of digital twins, condition monitoring, and predictive maintenance use cases
• Work with clients to:
• Understand their data challenges
• Develop tailored dashboards/tools
• Improve asset data management practices
• Support proposals and digital capability development
• Translate technical outputs into client-ready deliverables

2. Data Analytics & Insight Development

3. Dashboard & Tool Development

4. Digital Asset Management & Process Improvement

5. Client Engagement & Delivery

Required Skills & Experience

• Degree in Mechanical/chemical engineering, computer science or equivalent
• Strong experience in data analytics, ideally in engineering/energy environments
• Proficiency in Python, SQL, Excel, and Power BI (or equivalent)
• Experience working with large/complex datasets (SCADA, operational, asset data)
• Understanding of asset management lifecycle and performance optimisation
• Ability to engage across multiple disciplines and stakeholders
• Strong communication skills (technical → non-technical translation)
• Experience with SCADA or operational data environments
• Exposure to predictive analytics / machine learning
• Experience in energy projects (wind, CCGT, BESS, grid, etc.)
• Experience developing internal tools or digital products

Desirable

• Experience with SCADA or operational data environments
• Exposure to predictive analytics / machine learning
• Experience in energy projects (wind, CCGT, BESS, grid, etc.)
• Experience developing internal tools or digital products.

BGV

• Employment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India.
• Candidates are advised to ensure that all information provided during the recruitment process — including documents uploaded — is accurate and complete, both to WSP India and its BGV partner”.