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Manager - Rewards Operations

JLL

Manager - Rewards Operations

JLL

Gurugram, HR

·

On-site

·

Full-time

·

4d ago

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.

PROFESSIONAL SUMMARYCompensation Specialist with 8+ years of progressive experience in compensation analysis. Proficiency in leveraging compensation systems and survey data to support organizational compensation strategy while ensuring regulatory compliance.

QUALIFICATIONS:

  • Minimum 8+ years of previous and related compensation experience

  • Global experience working across regions, time zones, and different markets/cultures

  • Fluent and proficient in English with ability to work in reward partner's time zone

  • Advanced Excel expertise and analytical skills for large dataset analysis

  • Ability to operate independently and handle ad-hoc unplanned requests

  • Strong prioritization skills based on business understanding and workload assessment

  • Preferred experience in Market Pay platforms

  • Preferred knowledge of Workday systems

CORE COMPETENCIES

  • Data analytics and reporting

  • Business partnering and stakeholder management

  • Market benchmarking and competitive analysis

  • Project management across multiple business units

  • Critical thinking and problem-solving

  • Compensation program design and implementation

PROFESSIONAL EXPERIENCE:

  • Partner with Finance to assess financial impacts of compensation modifications

  • Evaluate competitiveness of compensation plans and develop recommendations on all compensation components (salary, bonus & commission incentives, equity)

  • Provide counsel to HR on compensation issues including pay structures, pay change recommendations, new hire offers, and wage and hour regulations

  • Support year-end compensation planning including cross functional activities such as group structure creation, budget analysis, and business line merit/bonus modeling

  • Conduct market benchmarking and maintain compensation data while interpreting external rewards trends

  • Manage Workday transactions and serve as first point of contact for compensation inquiries from HRBPs and managers

  • Leverage AI tools to analyze large compensation datasets, identify market trends, and automate routine data processing tasks

  • Support compensation program designs and implementations impacting multiple business lines and geographic regions

Location:

On-site –Gurugram, HR

Scheduled Weekly Hours:

40

If 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 Notice

Jones Lang La Salle (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.

For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here.

Jones Lang La Salle (“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.

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About JLL

JLL

JLL

Public

JLL is a global commercial real estate services company providing property management, investment management, and advisory services. The company serves corporate clients, investors, and property owners across various real estate markets worldwide.

10,001+

Employees

Chicago

Headquarters

Reviews

3.2

10 reviews

Work Life Balance

2.5

Compensation

2.8

Culture

3.2

Career

3.5

Management

2.3

35%

Recommend to a Friend

Pros

Good coworkers and supportive team members

Learning opportunities and skill development

Supportive management (when present)

Cons

Poor management treatment and unprofessional behavior

Low pay relative to workload

Frequent layoffs and job instability

Salary Ranges

0 data points

Junior/L3

Junior/L3 · Data Scientist

0 reports

$120,000

total / year

Base

$120,000

Stock

-

Bonus

-

$102,000

$138,000

Interview Experience

7 interviews

Difficulty

2.4

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 14%

Neutral 43%

Negative 43%

Interview Process

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Case Study/Technical Assessment

5

Final Interview/Presentation

6

Offer

Common Questions

Behavioral/STAR

Case Study

Technical Knowledge

Past Experience

Real Estate/Industry Specific