People Intelligence Architect at Block

Company: Block
Position: People Intelligence Architect
Job Type: Full-time
Location: Remote
Experience: 8+ years of relevant experience
Industry: Fintech, Technology, Data Science & Artificial Intelligence

Block is hiring a People Intelligence Architect to help build advanced data, analytics and artificial intelligence capabilities for its global workforce.

This is a senior-level opportunity for an experienced data, analytics or AI professional who can combine data engineering, machine learning, people analytics and AI architecture to solve complex workforce challenges.

The successful candidate will be responsible for designing reliable people-data infrastructure, developing predictive models, translating workforce questions into actionable insights and establishing technical direction for people intelligence systems.

The role is particularly suited to professionals with strong experience in SQL, Python, data pipelines, cloud data warehouses, machine learning, HR data and emerging AI technologies.

About Block

Block is a technology company structured as one organization made up of multiple business groups and teams.

Its foundational teams provide company-wide support, infrastructure and guidance across the organization and its global operations.

The People Intelligence Architect will work at the intersection of technology, data and human resources, helping Block use its workforce data responsibly to improve decision-making.

About the People Intelligence Architect Role

The People Intelligence Architect will help design and maintain the technical infrastructure that powers people analytics and workforce intelligence.

The role goes beyond traditional HR analytics. It combines data engineering, statistics, machine learning, systems architecture and generative AI.

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The successful candidate will work with people-related data from systems such as HR information systems, applicant tracking systems, performance-management platforms, compensation systems and employee-engagement tools.

They will then turn this information into reliable data products, predictive models and insights that can help leaders make better workforce decisions.

Key Responsibilities

Build and Maintain People Data Pipelines

A major responsibility will be designing reliable pipelines that bring together information from different people systems.

The successful candidate will:

Build and maintain data pipelines connecting HRIS, ATS, performance, compensation and engagement systems.
Integrate data from multiple sources into reliable analytical environments.
Ensure data is accurate, consistent and accessible to authorized users.
Design systems with strong data lineage and governance.
Maintain appropriate privacy and security controls for sensitive employee information.

Because people data can be highly sensitive, the role requires careful consideration of privacy, security and ethical use.

Data Modeling and Analytics

The People Intelligence Architect will also develop data models that support analytics and machine learning.

Responsibilities include:

Designing data models for people analytics.
Preparing high-quality datasets for machine-learning applications.
Establishing data-quality standards.
Maintaining documentation and lineage.
Supporting analytical and reporting requirements across the organization.
Ensuring people data can be used responsibly and consistently.

Develop Predictive Models

The role will involve applying statistical and machine-learning techniques to important workforce questions.

Potential applications include:

Employee attrition prediction.
Hiring-funnel analysis.
Organizational network analysis.
Compensation-equity analysis.
Workforce planning.
Employee engagement.
Talent and organizational trends.

The successful candidate will need to understand not only how to build models but also how to interpret their results and communicate their limitations.

Turn People Questions Into Business Insights

A key part of the position will be translating complex workforce questions into rigorous analytical approaches.

The People Intelligence Architect will:

Work with stakeholders to understand workforce challenges.
Translate business and people questions into analytical problems.
Conduct rigorous statistical analysis.
Present findings to senior leaders.
Explain complex technical results in clear business language.
Help leaders understand the implications of data-driven findings.

Strong communication skills are therefore essential because the role involves working with both technical teams and executives.

Employee Engagement Analytics

The position will also contribute to Block's employee-engagement survey processes.

This includes supporting surveys from their initial design through analysis and the development of actionable insights.

The successful candidate will help ensure engagement data is collected, analyzed and interpreted appropriately while maintaining employee privacy.

AI and Agentic Automation

One of the most interesting aspects of the position is its focus on generative AI and agentic systems.

The People Intelligence Architect will help design and deploy AI-powered agents and automations for people-related workflows.

This includes:

Designing agentic AI solutions.
Deploying AI-powered automations.
Establishing appropriate safeguards and guardrails.
Implementing human-in-the-loop processes.
Ensuring AI systems are used responsibly.
Evaluating the reliability and risks of AI-generated outputs.

Experience with large language models and agentic frameworks will therefore be valuable for candidates applying for this position.

Technical Leadership

Although the role involves people analytics, it is also an architecture and technical leadership position.

The successful candidate will:

Own system architecture.
Set technical direction.
Participate in code reviews.
Create and maintain technical documentation.
Mentor other technical professionals.
Establish engineering standards and best practices.
Help ensure people intelligence systems remain scalable and reliable.

This makes the role particularly suitable for someone who enjoys both hands-on technical work and high-level system design.

Requirements

Applicants should have at least 8 years of relevant professional experience.

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Candidates should also have:

Proven experience building data pipelines.
Strong SQL and Python skills.
Experience with dbt, Airflow or similar data-engineering tools.
Experience working with cloud data warehouses.
A strong foundation in data science.
Knowledge of statistics and machine learning.
Experience with experiment design.
Working knowledge of people and HR data.
Understanding of the sensitivity and ethical considerations surrounding employee data.
Hands-on experience with large language models.
Experience with agentic AI frameworks.
Strong systems-thinking and architecture capabilities.
Excellent communication skills.

Candidates should be comfortable communicating with both executives and engineering teams.

Preferred Qualifications

Block lists several additional areas of experience that could strengthen an application.

These include:

Experience with people analytics platforms such as Workday or Visier.
Organizational network analysis.
Workforce planning.
Experience deploying AI in regulated or privacy-sensitive environments.
Experience designing systems that handle sensitive employee information.

Professionals who combine technical expertise with experience in people analytics could therefore be particularly well suited to the role.

Technology Stack

The role involves a modern combination of data engineering, analytics and artificial intelligence technologies.

The listed technology stack includes:

Experience across all of these technologies may not be mandatory, but strong data-engineering and AI experience will be important for the position.

Who Should Apply?

This opportunity could be a strong fit for experienced professionals such as:

Data Architects.
Data Engineers.
Machine Learning Engineers.
Data Scientists.
People Analytics Engineers.
People Data Scientists.
Analytics Engineers.
AI Engineers.
Workforce Analytics professionals.
Technical leaders specializing in HR technology.

Candidates who have experience working with sensitive workforce data and deploying AI responsibly could have an additional advantage.

Benefits

Block offers a range of benefits to employees, including:

Medical insurance.
Flexible time off.
Retirement savings plans.
Modern family-planning support.
Remote work.

Benefits and eligibility may vary depending on applicable employment terms and location.

Why This Role Stands Out

The People Intelligence Architect position combines several rapidly growing areas of technology: data engineering, machine learning, people analytics and generative AI.

Instead of focusing solely on traditional HR reporting, the successful candidate will help build systems capable of answering complex questions about workforce planning, employee engagement, compensation, hiring and organizational health.

The role also places significant emphasis on responsible AI, privacy and governance, which are increasingly important when organizations deploy artificial intelligence using sensitive employee information.

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Build in-demand skills in Data Science, Python, Excel, Power BI, SQL, GIS, AI, Programming and more with expert-led online courses.

🎓 Explore Courses on Udemy

Learn at your own pace • Develop practical skills • Advance your career

How to Apply

Interested candidates should review the vacancy requirements carefully and submit their application through Block's official careers website.

Official Application:

Applicants should ensure their CV clearly demonstrates experience with data engineering, SQL, Python, machine learning, cloud data platforms and AI/LLM technologies.

Candidates with Workday, Visier, people analytics, workforce planning or privacy-sensitive AI experience should highlight these qualifications in their applications.

Conclusion

The People Intelligence Architect position at Block offers an opportunity for an experienced data and AI professional to work on sophisticated workforce intelligence systems.

With responsibilities spanning data pipelines, machine learning, people analytics, system architecture and agentic AI, the role is particularly suited to professionals who can bridge the gap between technical engineering and strategic business decision-making.

Applicants with 8+ years of relevant experience and strong skills in data engineering, analytics, machine learning and AI should consider reviewing the opportunity and applying through Block's official careers platform.

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