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WSP in Africa

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Senior Consultant - Asset Management (Data Consultant)

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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”.

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