Senior Consultant - Asset Management (Data Consultant)
WSP India · Bangalore
Source and collection record
Last observed by our collector: . This is not a manual review or a confirmation from the employer.
Employer requisition: 94793
Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.
Your application evidence checklist
Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.
0 of 2 checks marked. Keep unresolved requirements as questions for the employer.
Collected role description
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”.