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Salesforce
Salesforce

The Customer Company - CRM + Data + AI + Trust

ES M&A Compensation Data Manager

직무HR
경력리드급
위치Washington - Bellevue; Washington - Seattle; Indiana - Indianapolis, United States
근무오피스 출근
고용정규직
게시1개월 전
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필수 스킬

Excel

Salesforce

Tableau

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Employee Success

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Mergers and Acquisitions (M&A) is an integral part of Salesforce’s long-term growth strategy, and our Employee Success team supports this starting with early insights through formal due diligence and integration. As a Lead Compensation Data Analyst, you will serve as the analytical point person on compensation-related matters for assigned M&A deals from due diligence through integration. Operating with broad expertise and unique knowledge, you will own the delivery of data solutions, act independently to optimize methods and procedures, and look beyond the literal data in a spreadsheet and factor in context, culture, and unique business circumstances to drive your strategies. You will leverage your strong technical proficiency to lead data management workstreams while executing vital compensation modeling and job mapping.

Core Responsibilities:

  • Compensation Analysis & Mapping: Support acquisitions by partnering closely with our Global Total Rewards and Compensation teams to map and level acquired company roles to Salesforce’s job architecture. Conducting job evaluations, assessing the cost impact of integrating compensation, benefits, and stock programs, and consulting on proposed adjustments to align rewards programs using financial, statistical, and modeling analysis. As you grow in the role, you will take on the responsibility to independently oversee and lead this end-to-end workstream for smaller deals, depending on deal volume and complexity.

  • Advanced Data Management: Lead data management workstreams by handling large employee data sets utilizing sophisticated formulas and advanced functionality in Excel and Google Sheets. You will provide the vision and direction on what data needs to be collected, ensuring data integrity while tracking data rooms and managing requests.

  • Reporting, Visualization & Insights: Own the delivery of data solutions by synthesizing complex data sets into actionable narratives. You will create data-driven stories and build complex, highly interactive dashboards using Tableau, considering advanced user interfaces, dashboard performance optimization, and integrating predictive analytics.

  • Operational Delivery & Process Improvement: Act independently on significant and unique issues, negotiating detailed requirement and solution design trade-offs with business partners. Evaluate and optimize M&A HR technology solutions, lead data analysis approaches for others, and continuously refine the ES M&A playbook to scale operations.

  • M&A Compensation Project Management: Lead project management efforts for compensation integration milestones. Proactively track the application and mitigation of decisions regarding how an acquired company's total rewards elements map—or deviate from—Salesforce's established programs. Apply risk assessment methods to identify and mitigate impacts, anticipate blockers, and connect the dots between overarching business strategies and specific project deliverables.

  • Stakeholder Enablement: Support the change readiness of HR teams and business leaders by sharing recommendations based on clear analytics and assumptions. Deliver solutions to complex compensation questions in ambiguous, unique circumstances.

Requirements for Success:Technical Skills & Experience

  • Deep Analytical Expertise: 5+ years of expertise in financial analysis, statistical analysis, and modeling.

  • Data Fluency: Strong proficiency in advanced Excel and Google Sheets (e.g., sorting, filtering, advanced formulas, and data analysis functions) for working with large datasets.

  • Data Visualization: Expert capability in using data visualization tools like Tableau to build dynamic dashboards for enterprise-level solutions, present data-driven insights, and integrate predictive analytics or machine learning models.

  • Systems Knowledge: Experience with Workday HCM or similar HR technology platforms is highly preferred, as well as familiarity with Orgvue, Tableau, and Slack.

  • Domain Knowledge: Developing HR compensation programs and familiarity with global/local labor and compensation legal requirements.

Characteristics & Traits

  • Independent Leader: Acts independently to determine methods and procedures on new assignments, anticipating blockers, conflicts, and obstacles to resolve them. May supervise the work of others or contingent staff.

  • Detail-Oriented & Adaptable: Focuses on data accuracy and system integrity while successfully managing ambiguity and tight deadlines in a fast-paced environment.

  • Effective Communicator: Speaks and writes with clarity, brevity, and purpose, showing courage to tell people the truth even when it's uncomfortable, and seeking others' perspectives to modify own thinking.

  • Collaborative Problem Solver: Uses detailed logic to understand hidden problems and identify effective solutions without adding complexity, while successfully collaborating with diverse cross-functional groups

Unleash Your Potential:

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement:

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.

The typical base salary range for this position is $117,400 - $177,600 annually.

The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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Salesforce 소개

Salesforce

A cloud-based software company that provides customer relationship management software and applications.

10,001+

직원 수

San Francisco

본사 위치

$243B

기업 가치

리뷰

10개 리뷰

4.3

10개 리뷰

워라밸

3.2

보상

4.5

문화

4.6

커리어

4.2

경영진

4.1

78%

지인 추천률

장점

Great benefits and high salary

Excellent work culture and supportive management

Career advancement and development opportunities

단점

Work-life balance challenges and long hours

High-pressure environment with heavy workload

Fast-paced environment with high expectations

연봉 정보

50개 데이터

Mid/L4

Senior/L5

Mid/L4 · Business Operations and Strategy Manager, Agentforce & AI

1개 리포트

$209,300

총 연봉

기본급

$182,000

주식

-

보너스

-

$209,300

$209,300

면접 후기

후기 4개

난이도

3.0

/ 5

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Assessment

5

Virtual Technical Interview

6

Onsite/Final Interview Loop

7

Manager Interview

자주 나오는 질문

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience