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Posted 02 July, 2026

Senior Consultant - Asset Management (Data Consultant)

WSP
Bengaluru,KA,IN,560045 Full Time
Reference: 218_652203_89912

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.

WSP is one of the world's leading professional services consulting firms. We are dedicated to our local communities and propelled by international brainpower. We are technical experts and strategic advisors including engineers, technicians, scientists, architects, planners, surveyors and environmental specialists, as well as other design, program and construction management professionals. We design lasting solutions in the Transportation & Infrastructure, Property & Buildings, Earth & Environment, Power & Energy, Resources and Industry sectors, as well as offering strategic advisory services. Our talented people around the globe engineer projects that will help societies grow for lifetimes to come.

With approximately 4,000 talented people across 3 locations (Noida, Bengaluru & Mumbai offices) in India and more than 73,000 globally, in 550 offices across 40 countries, we engineer projects that will help societies grow for lifetimes to come.

At "WSP" we draw on the diverse skills and capabilities of our employees globally to compete for the most exciting and complex projects across the world and bring the same level of expertise to our local communities. We are proud to be an international collective of innovative thinkers who work on the most complex problems. Unied under one strong brand, we use our local expertise, international reach and global scale to prepare our cities and environments for the future, connect communities and help societies thrive in built and natural ecosystems. True to our guiding principles, our business is built on four cornerstones: Our People, Our Clients, Our Operational Excellence and Our Expertise.

www.wsp.com

We are

  • Passionate people doing purposeful and sustainable work that helps shape our communities and the future.
  • A collaborative team that thrives on challenges and unconventional thinking.
  • A network of experts channeling our curiosity into creating solutions for complex issues.

Inspired by diversity, driven by inclusion, we work with passion and purpose.


Working with Us

At WSP, you can access our global scale, contribute to landmark projects and connect with the brightest minds in your field to do the best work of your life. You can embrace your curiosity in a culture that celebrates new ideas and diverse perspectives. You can experience a world of opportunity and the chance to shape a career as unique as you.


Our Hybrid Working Module

With us, you can operate in a flexible, agile, yet structured work environment and follow a Hybrid Work Model.

  • Maximize collaboration.
  • Maintain product quality and cultural integrity.
  • Balance community, collaboration, opportunity, productivity, and efficiency.


Health, Safety and Wellbeing

Our people are our greatest asset, and we prioritize a safe work environment. Health, safety, and wellbeing are integral to our culture, with each of us accountable for fostering a safe workplace through our "Making Health and Safety Personal" initiative. Our Zero Harm Vision drives us to reduce risks through innovative solutions, earning recognition for our global health and safety practices with the prestigious RoSPA Health and Safety Awards for six consecutive years.


Inclusivity and Diversity

WSP India is dedicated to fostering a sustainable and inclusive work environment where our greatest strength - Our People -feel valued, respected, and supported. We ensure an unbiased approach in hiring, promotion, and performance evaluation, regardless of age, gender identity, race, religion, sexual orientation, marital status, physical ability, education, social status, or cultural background.


Imagine a better future for you and a better future for us all.

Join our close-knit community of over 73,300 talented global professionals dedicated to making a positive impact. Together, we can make a difference in communities both near and far.

With us, you can.
Apply today.


NOTICE TO THIRD PARTY AGENCIES:

WSP does not accept unsolicited resumes from recruiters, employment agencies, or other staffing services. Unsolicited resumes include any resume or hiring document sent to WSP in the absence of a signed Service Agreement where WSP has expressly requested recruitment/staffing services specific to the position at hand. Any unsolicited resumes, including those submitted to hiring managers or other business leaders, will become the property of WSP and WSP will have the right to hire that candidate without reservation - no fee or other compensation will be owed or paid to the recruiter, employment agency, or other staffing service.

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".

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

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