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Data Manager, Cost Management

Jones Lang LaSalle

Data Manager, Cost Management

full-timePosted: Aug 31, 2026Updated: Sep 3, 2026HR, Gurugram

Job Description

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Job Description: Data ManagerGlobal Development ServicesOverviewThe Data Manager will play a pivotal role in orchestrating the data management function of Global Development Services, spanning Cost Management, Project Controls, Development Management, and Development Advisory. This position is focused on the development, maintenance, and enhancement of data-driven initiatives and tools to elevate operational excellence and business performance across the organisation. The Data Manager will be responsible for ensuring data integrity, governance, and availability, underpinning the effective use of analytics and AI solutions throughout the business.RequirementsData Expertise: Demonstrated experience in structuring, transforming, analysing, and approving complex project data for use in business intelligence and AI applications.Technical Involvement: In-depth involvement with data management aspects of cost management, project controls, development management, and advisory functions, ensuring data quality and compliance for all outputs.Cost ManagementOversee data collection, cleaning, approval, and integration processes to support the development of robust project cost databases and reporting systems.Direct data lifecycle management initiatives, including the integration of forecasting, benchmarking, and variance tracking data to ensure accurate project budgeting and reporting.Manage global data controls for unit measurement, procurement, contracts, and change management to reduce risk and ensure compliance with data governance standards.Deploy best practice data management procedures across Cost Management teams.Project ControlsProject Scheduling & Automation: Oversee data validation, approval, and integration processes to enable the development of data-driven project schedule generators.Risk Management: Implement advanced risk assessment models, including data-powered simulations, to predict and mitigate project risks proactively.Communication Skills: Excellent communication and stakeholder engagement skills, with a history of driving organisational buy-in for improved data practices.Process Optimisation: Skilled in process standardisation and optimisation, including eliminating inefficiencies and duplications in data processes.Continuous Improvement: Commitment to continuous improvement and best practice in data management and project environments.Key ResponsibilitiesStandardisation of Data Practices: Apply data management best practices to harmonise procedures and knowledge transfer across service lines, driving consistent and efficient operations.Data Optimisation: Identify and structure critical project and technical data for service delivery, leveraging analytics to enhance workflow precision and decision-making.Process Automation: Implement data management tools to automate documentation, reporting, and quality assurance within service lines.Deploy data-driven project tools customised for technical teams to improve efficiency and accuracy.Predictive Data Assessment: Utilise data analytics to anticipate project risks and opportunities, supporting proactive mitigation and strategic planning within service delivery.Auditing: Streamline internal audits by automating data compliance checks and technical assessments using intelligent systems.Continuous Data Improvement: Use data insights to identify inefficiencies, enabling agile adjustment and the adoption of innovative work methods.Personal AttributesStrong analytical and problem-solving abilities, particularly in data environmentsLeadership and influence across diverse business units with a focus on data-driven cultureProactive approach to innovation and technology adoption in data managementExcellent organisational and project management skills, with the ability to manage complex datasets and multiple prioritiesAbility to work collaboratively in a global context, supporting cross-functional teams with data needsEducational Qualification & ExperienceB. Tech in Civil Engineering or similar is requiredExperience in QS / Cost Management of Global construction projectsLocation: On-site –Gurugram, HRScheduled Weekly Hours:40If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.JLL Privacy NoticeJones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.For more information about how JLL processes your personal data, please view our Candidate Privacy Statement.For additional details please see our career site pages for each country.Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at HRSCLeaves@jll.com. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

Locations

  • HR, Gurugram

Skills Required

  • structuringintermediate
  • QS / Cost Management of Global construction projectsintermediate

Required Qualifications

  • Data Expertise: Demonstrated experience in structuring, transforming, analysing, and approving complex project data for use in business intelligence and AI applications. (experience)
  • Technical Involvement: In-depth involvement with data management aspects of cost management, project controls, development management, and advisory functions, ensuring data quality and compliance for all outputs. (experience)
  • Data Expertise: Demonstrated experience in structuring, transforming, analysing, and approving complex project data for use in business intelligence and AI applications. (experience)
  • Technical Involvement: In-depth involvement with data management aspects of cost management, project controls, development management, and advisory functions, ensuring data quality and compliance for all outputs. (experience)
  • B. Tech in Civil Engineering or similar is required (experience)
  • Experience in QS / Cost Management of Global construction projects (experience)
  • Experience in QS / Cost Management of Global construction projects (experience)

Responsibilities

  • Standardisation of Data Practices: Apply data management best practices to harmonise procedures and knowledge transfer across service lines, driving consistent and efficient operations.
  • Data Optimisation: Identify and structure critical project and technical data for service delivery, leveraging analytics to enhance workflow precision and decision-making.
  • Process Automation: Implement data management tools to automate documentation, reporting, and quality assurance within service lines.
  • Deploy data-driven project tools customised for technical teams to improve efficiency and accuracy.
  • Predictive Data Assessment: Utilise data analytics to anticipate project risks and opportunities, supporting proactive mitigation and strategic planning within service delivery.
  • Auditing: Streamline internal audits by automating data compliance checks and technical assessments using intelligent systems.
  • Continuous Data Improvement: Use data insights to identify inefficiencies, enabling agile adjustment and the adoption of innovative work methods.
  • Standardisation of Data Practices: Apply data management best practices to harmonise procedures and knowledge transfer across service lines, driving consistent and efficient operations.
  • Data Optimisation: Identify and structure critical project and technical data for service delivery, leveraging analytics to enhance workflow precision and decision-making.
  • Process Automation: Implement data management tools to automate documentation, reporting, and quality assurance within service lines.
  • Deploy data-driven project tools customised for technical teams to improve efficiency and accuracy.
  • Predictive Data Assessment: Utilise data analytics to anticipate project risks and opportunities, supporting proactive mitigation and strategic planning within service delivery.
  • Auditing: Streamline internal audits by automating data compliance checks and technical assessments using intelligent systems.
  • Continuous Data Improvement: Use data insights to identify inefficiencies, enabling agile adjustment and the adoption of innovative work methods.

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