instructure

HR AI Deployment & People Analystics Manager

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Older posting · still listed ·

  • Workplace not specified
  • FullTime
  • General & Administration
  • Mexico
Work arrangement
Not stated
Employment
FullTime
Stated compensation
MXN 831,920–1,109,226.66 1 YEAR
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Requirements

2 with evidence7 unclear or unstated
Remote policy
hybrid
“Our remote, hybrid and in-office collaboration spaces vary by role, team and location.”
See matched passage in original description ↓
Minimum experience (years)
5
“5+ years of experience in HR, people analytics, or HR operations, with demonstrated hands-on experience building or deploying AI-powered tools or automation in a business environment.”
See matched passage in original description ↓
Employment type
FullTime
Compensation
MXN 831,920–1,109,226.66 1 YEAR
7 fields not stated in this posting
Employer sponsorship
Not specified
Geographic scope
Not specified
Degree requirement
Not specified
Security clearance
Not mentioned
Timezone / hours
Not specified
Citizenship requirement
Not mentioned
Work authorization
Not specified

These details were not stated in the tracked posting. Confirm with the employer.

READ IT IN THE EMPLOYER’S OWN WORDS

Original job description

Reading view uses normalized posting text so exact evidence excerpts can be highlighted.

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers. We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in: The AI-First HR Operations Lead will build and scale the operational backbone of an AI-driven HR function. You’ll be responsible for identifying opportunities where AI can save time, create efficiency, and drive innovation across the HR organization. This includes designing and deploying custom AI tools and agents, building analytical dashboards, and managing people analytics — all while working directly with HR leaders to spot inefficiencies and deliver rapid, actionable solutions that make a measurable difference.
Read full descriptionShow less description
 What You Will Do  Find the inefficiencies. Join HR teams, audit workflows, and identify processes where AI can cut time or improve decisions. Build data-driven cases for what to automate or improve. Design and deploy operational AI. Scope, build, and implement AI-powered tools across HR workflows, such as onboarding, AskHR, policy guidance, candidate screening, and benefits Q&A. Own both the functionality and adoption of the solutions you deliver. Own people analytics. Build and maintain dashboards and reports for HR leaders — covering headcount, turnover, compensation analysis, span of control, and DIB metrics. Leverage AI to minimize manual reporting and surface key insights quickly. Scale what works. Launch solutions, track adoption, collect feedback, and iterate rapidly. Focus on delivering useful, live tools and continuously improving them. Partner across HR. Work closely with Talent Management, Talent Acquisition, Total Rewards, HR Shared Services, and HRBP teams to understand challenges and build solutions that address them directly.  What You Will Need to Know/Have  5+ years of experience in HR, people analytics, or HR operations, with demonstrated hands-on experience building or deploying AI-powered tools or automation in a business environment. Proven experience with data and analytics — having shipped dashboards or reports that teams rely on, with proficiency in Google Suite, Excel, Workday, or similar tools. Working knowledge of AI systems, including language models, prompt engineering, and agentic tools. Ability to build with platforms such as Claude, Gemini, Rovo, or equivalent. Comfort with ambiguity and high-speed iteration, prioritizing quick delivery of MVP solutions and continuous improvement over waiting for perfection. Strong user-centric mindset, routinely validating tools with HR ops, HR leaders, employees, and managers to ensure practical value. Track record of shipping real, impactful tools or solutions with measurable results. Bachelor’s degree in human resources, business, data analytics, information systems, or a related field, or equivalent practical experience Ability to travel up to 10% Fluent in English  Preferred  Experience with Workday or a similar HRIS/ATS platform. Experience working in a global, distributed HR function. People analytics or HR technology certification (e.g., People Analytics certificate, SHRM-CP/SCP).  What We Expect  Speed over perfection. Prioritize delivering MVP solutions and iterating rapidly to meet HR needs. Data-driven thinking. Use actionable insights and metrics to prioritize solutions and improvements. Ownership of outcomes. Define and own success metrics, such as adoption, efficiency gains, or accuracy. Transparency about limits and trade-offs. Proactively address privacy, compliance, security, and risk, keeping stakeholders informed. Get in on all the awesome at Instructure! We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect: Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success. Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location. Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs. Comprehensive wellness programs and mental health support Learning and development resources, including professional development tools and tuition reimbursement, to support your growth The technology and tools you need to do your best work Motivosity employee recognition program A culture rooted in inclusivity, support, and meaningful connection We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes. Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate. All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws. Any attempt to misrepresent personal or professional information will result in disqualification.
Original formatting and links

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.
We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:

The AI-First HR Operations Lead will build and scale the operational backbone of an AI-driven HR function. You’ll be responsible for identifying opportunities where AI can save time, create efficiency, and drive innovation across the HR organization. This includes designing and deploying custom AI tools and agents, building analytical dashboards, and managing people analytics — all while working directly with HR leaders to spot inefficiencies and deliver rapid, actionable solutions that make a measurable difference.

 

What You Will Do

 
  • Find the inefficiencies. Join HR teams, audit workflows, and identify processes where AI can cut time or improve decisions. Build data-driven cases for what to automate or improve.

  • Design and deploy operational AI. Scope, build, and implement AI-powered tools across HR workflows, such as onboarding, AskHR, policy guidance, candidate screening, and benefits Q&A. Own both the functionality and adoption of the solutions you deliver.

  • Own people analytics. Build and maintain dashboards and reports for HR leaders — covering headcount, turnover, compensation analysis, span of control, and DIB metrics. Leverage AI to minimize manual reporting and surface key insights quickly.

  • Scale what works. Launch solutions, track adoption, collect feedback, and iterate rapidly. Focus on delivering useful, live tools and continuously improving them.

  • Partner across HR. Work closely with Talent Management, Talent Acquisition, Total Rewards, HR Shared Services, and HRBP teams to understand challenges and build solutions that address them directly.

 

What You Will Need to Know/Have

 
  • 5+ years of experience in HR, people analytics, or HR operations, with demonstrated hands-on experience building or deploying AI-powered tools or automation in a business environment.

  • Proven experience with data and analytics — having shipped dashboards or reports that teams rely on, with proficiency in Google Suite, Excel, Workday, or similar tools.

  • Working knowledge of AI systems, including language models, prompt engineering, and agentic tools. Ability to build with platforms such as Claude, Gemini, Rovo, or equivalent.

  • Comfort with ambiguity and high-speed iteration, prioritizing quick delivery of MVP solutions and continuous improvement over waiting for perfection.

  • Strong user-centric mindset, routinely validating tools with HR ops, HR leaders, employees, and managers to ensure practical value.

  • Track record of shipping real, impactful tools or solutions with measurable results.

  • Bachelor’s degree in human resources, business, data analytics, information systems, or a related field, or equivalent practical experience

  • Ability to travel up to 10%

  • Fluent in English

 

Preferred

 
  • Experience with Workday or a similar HRIS/ATS platform.

  • Experience working in a global, distributed HR function.

  • People analytics or HR technology certification (e.g., People Analytics certificate, SHRM-CP/SCP).

 

What We Expect

 
  • Speed over perfection. Prioritize delivering MVP solutions and iterating rapidly to meet HR needs.

  • Data-driven thinking. Use actionable insights and metrics to prioritize solutions and improvements.

  • Ownership of outcomes. Define and own success metrics, such as adoption, efficiency gains, or accuracy.

  • Transparency about limits and trade-offs. Proactively address privacy, compliance, security, and risk, keeping stakeholders informed.

Get in on all the awesome at Instructure!

We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:

  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.

  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.

  • Generous time off, including local holidays and our annual “Dim the Lights” period in late December, when teams are encouraged to step back and recharge based on departmental needs.

  • Comprehensive wellness programs and mental health support

  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth

  • The technology and tools you need to do your best work

  • Motivosity employee recognition program

  • A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.

Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.

All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we’ve implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.

Any attempt to misrepresent personal or professional information will result in disqualification.

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