Jll

DataManager

₹19–33L ~AI est. Gurugram, Haryana, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Data Manager at Jll. Skills: Data Management, Cost Management, Project Controls, Data Governance. Oversee data collection. Oversee data cleaning”

Industry & Context.

Problems you'll solve

Analytical; Problem-solving

What They're Looking For.

Must Have

Data Expertise, Technical Involvement, B. Tech in Civil Engineering, Experience in QS / Cost Management of Global construction projects

Nice to Have

PhD preferred, specific ML framework experience, cloud platform certs

What You'll Do.

Oversee data collection

Oversee data cleaning

Oversee data approval

Oversee data integration

Support database development

Support reporting system development

Direct data lifecycle management

Integrate forecasting data

Integrate benchmarking data

Integrate variance tracking data

Ensure accurate project budgeting

Ensure accurate project reporting

Manage global data controls

Deploy data management procedures

Oversee data validation

Oversee data approval

Oversee data integration

Enable schedule generator development

Implement risk assessment models

Mitigate project risks

Standardise data practices

Drive consistent operations

Drive efficient operations

Identify critical data

Structure critical data

Enhance workflow precision

Enhance decision-making

Implement data management tools

Automate documentation

Automate quality assurance

Deploy data-driven project tools

Utilise data analytics

Anticipate project risks

Anticipate project opportunities

Support proactive mitigation

Support strategic planning

Streamline internal audits

Automate data compliance checks

Automate technical assessments

Identify inefficiencies

Enable agile adjustment

Adopt innovative work methods

How You'll Work.

Team & Collaboration

Global context; Cross-functional teams; Diverse business units; Service lines

Communication Scope

Stakeholder Engagement; Communication

Process & Methodology

Project Management, Project Controls, Budgeting, Forecasting, Risk Management, Process Optimisation

Full 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 Manager** **Global Development Services** **Overview** The 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. Requirements * Data 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 Management_** * Oversee 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. *

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