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6 часов назад

Organization Effectiveness & Design Lead (AI)

164 000 - 218 700$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Organization Effectiveness & Design Lead (AI): Building enterprise workforce planning models, organization design tools, and AI transformation practices with an accent on workforce analytics, structural decisions, and scalable HR frameworks. Focus on analyzing capability gaps, redesigning team structures, operationalizing AI adoption, and translating organizational data into actionable recommendations.

Location: San Jose, CA, United States; hybrid

Salary: USD 164,000–218,700 yearly

Company

hirify.global builds large-scale storage systems and infrastructure for AI-driven data centers, cloud platforms, and enterprise environments.

What you will do

  • Develop and maintain enterprise workforce planning models covering talent gaps, capability needs, workforce composition, and structural risks.
  • Partner with HR business partners and Finance to align headcount plans with business strategy, growth projections, and organizational priorities.
  • Support organization design engagements involving team restructuring, role clarification, spans of control, and organizational health analysis.
  • Create standardized organization design tools, templates, decision frameworks, reporting, and tracking mechanisms.
  • Operationalize AI adoption practices within Organization Development, including assessment frameworks, playbooks, implementation guides, and documented best practices.
  • Facilitate capability-building sessions and advise HR leaders and people managers on organizational effectiveness challenges.

Requirements

  • Bachelor’s degree in Human Resources, Organizational Psychology, Business Administration, or a related field.
  • At least 5 years of progressive experience in organizational design, workforce planning, or organizational development in a complex, matrixed environment.
  • Hands-on experience leading or executing organization design projects, including spans of control analysis, role clarification, and team restructuring.
  • Ability to build and operationalize frameworks, tools, and playbooks for consistent use by others.
  • Strong analytical skills applied to workforce data, including headcount, attrition, and capability data, with the ability to produce structured recommendations.

Nice to have

  • MBA or PhD in Organizational Psychology, Industrial-Organizational Psychology, Business, or a related field.
  • Experience operationalizing AI tools or AI-driven change within an HR or Organization Development function.
  • Strategic management consulting experience.
  • Familiarity with organization design frameworks such as the Galbraith Star Model, OrgVue, McKinsey 7S, or other consulting frameworks.
  • Familiarity with supply/demand modeling, scenario planning, skills-based workforce design, and change management frameworks such as Prosci, ADKAR, Kotter, or agile change management.
  • Experience in the technology or semiconductor industry.

Culture & Benefits

  • Full-time employment in a hybrid work arrangement.
  • Benefits include paid vacation and sick leave, medical, dental, and vision insurance, life and disability insurance, flexible spending and health savings accounts, and an employee assistance program.
  • Additional benefits include tuition reimbursement, transit support, employee stock purchase opportunities, and a WD Savings 401(k) Plan.
  • Potential eligibility for short-term or sales incentives, long-term incentives, and restricted stock units depends on the role and applicable plan terms.
  • The anticipated application deadline is February 13, 2027, although the posting may close earlier if the role is filled.

Hiring process

  • For accommodation requests, contact jobs.accommodations@wdc.com with the requested accommodation, job title, and requisition number.
  • Applications may be submitted until the anticipated deadline, subject to earlier closure.

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