KLA

Sr Consultant, Compensation & Benefits

Singapore · Work style not stated · Full time

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About the role

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  • EmployerKLA
  • LocationSingapore
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.

Group/Division

KLA's Human Resources team drives business success by mobilizing our global talent to achieve both short- and long-term objectives. Our strategic areas of focus encompass HR business partnerships, learning and development, talent acquisition, compensation and benefits, inclusion, and HR systems and operations.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.

Show full description

As a member of the Global Compensation & Benefits COE, the C&B Consultant will play a key role in the design, implementation, and management of compensation and benefits programs supporting Asia Pacific. The C&B Consultant will partner with HR, business leaders, and key stakeholders to ensure KLA's Total Rewards programs remain competitive, compliant, and aligned with business and talent objectives.

A successful candidate will be an advisor, technical expert, and strategic business partner with demonstrated experience identifying business needs, providing recommendations, and delivering practical compensation and benefits solutions. The work environment is fast-paced and dynamic. Critical skills for this role are analytical thinking, problem-solving, organization, and adaptive communication.

Position Overview:

  • Know, understand, incorporate, and demonstrate KLA's Mission, Vision, and Values in behaviors, practices, and decisions.
  • Partner with HR leadership, HR Business Partners, Talent Acquisition, Payroll, Finance, and business leaders to develop effective compensation and benefits solutions.
  • Conduct analysis and provide recommendations to support the design and delivery of compensation and benefits programs, policies, and practices.
  • Perform market pricing, job evaluation, and compensation benchmarking to support talent attraction, retention, and internal equity.
  • Support annual compensation processes, including merit, bonus, and other compensation review programs.
  • Review and analyze benefit plan design, market competitiveness, and program effectiveness in alignment with KLA's global benefits strategy.
  • Monitor market trends and regulatory developments and support compliance reviews of compensation and benefits programs.
  • Participate in compensation and benefits surveys and leverage market data to support informed business decisions.
  • Develop analyses, presentations, and recommendations for HR and business leaders.
  • Support regional and global compensation and benefits initiatives, acquisitions, integrations, and process improvements.
  • Educate and advise HR partners and management on compensation and benefits programs, policies, and practices.
  • Perform other duties as assigned.

Preferred Qualifications

  • Demonstrated experience in compensation, benefits, and Total Rewards programs. Global experience is a plus.
  • Strong analytical, problem-solving, and decision-making skills.
  • Experience conducting compensation benchmarking, market analysis, and benefits reviews.
  • Strong project management and stakeholder management skills, with the ability to work effectively across teams and geographies.
  • Excellent communication, presentation, and organizational skills.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Ability to deal with ambiguity, recognize trends, and identify practical solutions to business challenges.
  • Strong attention to detail and execution.
  • Demonstrates a growth mindset and maintains current knowledge of HR and industry trends.
  • Advanced Excel skills and proficiency in Microsoft PowerPoint and Word.
  • Experience with HRIS systems, including Workday, is preferred.

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 5 years; Master's Level Degree and related work experience of 8 years; Bachelor's Level Degree and related work experience of 12 years

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.

Use of AI Statement

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.

We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.

KLA is proud to be an equal opportunity employer.

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At a glance

  • Employment typeFull time
  • SenioritySenior
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Excel Machine learning Stakeholder management

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