Join MongoDB as a Senior Associate in HR Shared Services, focusing on compensation operations in a hybrid role based in Gurugram.
Skills & Technologies
Requirements
- Experience
- 4+ years
Benefits
Joblaze summary
In the role of Senior Associate for HR Shared Services at MongoDB, the individual will manage backend compensation transactions and ensure compliance with service level agreements. Proficiency in HR systems, particularly with tools like SuccessFactors and strong Excel skills, is essential for analyzing compensation data and generating reports. This position is ideal for candidates with over four years of experience in HR operations, who can work independently and possess a solid understanding of compensation concepts. MongoDB emphasizes a culture of continuous improvement and collaboration across various teams.
Joblaze insights
- Listed 4 days ago on Joblaze — tracked directly from MongoDB's career page.
- MongoDB has 435 other open roles including Associate Legal Counsel, Commercial Growth Account Executive - Acquisition, Senior Data Scientist.
- 190 active Excel roles on Joblaze right now.
- 42 active Zendesk roles on Joblaze right now.
- 2 active SuccessFactors roles on Joblaze right now.
- Typical Excel salary we track runs $88,500–$145,000 (median $104,490, across 131 roles). See Excel salary trends
Quick facts
- Is the Senior Associate, HR Shared Services role remote?
- It's hybrid — MongoDB expects some on-site time in Gurugram.
- How much experience is required?
- At least 4 years of relevant experience for this Senior Associate, HR Shared Services role.
- Where is the role based?
- MongoDB is hiring for this position in Gurugram.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Excel, SuccessFactors, Zendesk.
- What seniority level is this role?
- MongoDB targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Associate, HR Shared Services role at MongoDB.
From the original posting
The HR Shared Services Compensation operations senior associate combines analytical rigour with a service-orientated mindset. They will be comfortable working in the details of HR systems and cases while also understanding the broader impact of compensation data and decisions on employees, managers, payroll, reporting, and business operations.
We are looking to speak to candidates who are based in Gurugram for our hybrid working model.
Key Responsibilities
- You will play a vital role in processing the backend transactions related to general compensation questions or tasks, along with making sure that the relevant SLA’s are met
- Review and process requests related to job architecture, job codes, career levels, compensation tiers, pay ranges, compa-ratio, salary positioning, bonus eligibility, and other compensation-related fields in the HRIS
- Pull ad hoc compensation reports, review data for accuracy and completeness, and help summarize basic findings for the compensation team and business partners
- Assist with program documentation, supporting records, data integrity, audit readiness, and compliance materials
- Partner with Compensation, HR Business Partners, Recruiting, Payroll, HRIS, Finance, and regional People Teams to investigate issues, resolve discrepancies, and coordinate end-to-end completion of transactions
- Adhere to and demonstrate high proficiency in agreed critical metrics & SLAs
- Create, maintain, and improve standard operating procedures, knowledge articles, checklists, process maps, and case-handling guidance for compensation processes
- Perform data validation, reconciliation, and quality-control checks across SuccessFactors, case-management tools, payroll inputs, compensation planning files, and downstream reporting systems
Expected Skills
- Experience for 4+ years in HR Operations / Shared Services in an HR Shared Services role (EMEA and Americas)
- Strong Excel or spreadsheet skills, including data validation, lookups, filters, pivot tables, reconciliation, and basic analysis
- A continuous-improvement mindset, with the ability to identify patterns, diagnose process issues, and translate observations into practical improvements
- Can function independently, with minimal mentorship and supervision
- Working knowledge of compensation concepts, including salary ranges, market positioning, comp ratio, job architecture, pay changes, promotions, merit, bonus, and compensation data governance
- Should be proficient with HRMS and ticketing tools such as Zendesk, SuccessFactors, and should have been excellent in meeting HRSS performance parameters - case handling, etc
About MongoDB
MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the data platform for the AI era, enabling builders to create, transform, and disrupt industries with software. MongoDB’s unified data platform, the most widely available, globally distributed data platform on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud data platform and is available across AWS, Google Cloud, and Microsoft Azure.
With offices worldwide and over 67,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.
Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB.
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB is an equal opportunities employer.
Req ID: 3273519991