Business Systems Analyst

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

The People Technology team, part of the People Automation and Operations organization, manages the infrastructure powering Block's employee lifecycle from recruiting to off boarding. We're shifting from standard SaaS solutions to building scalable, secure platform infrastructure — data APIs, AI agents, and integration frameworks — so our People teams can build more.

Reporting to the Head of People Technology, you'll start with Talent Acquisition as your first customer and broaden across the People portfolio from there.

• Start with Talent, build for the portfolio. You'll partner closely with Talent Acquisition on their most pressing technology needs while their strategy and org design come together — building solutions that hold up beyond that first customer.
• Automate recurring operational work, sustainably. A meaningful share of the work supporting our People stack repeats. You'll replace it with automation built to last — documented, maintainable, and designed as shared capability rather than one-off fixes.
• Make other builders faster. As teams across People build their own AI-enabled solutions, you'll give them the underpinnings: trusted data access, integration patterns, reusable tools and agents, and clear guidance on what's safe to build and what isn't.
• You Will

• Partner with Talent Acquisition and other People teams to understand business challenges and identify opportunities to improve work through technology and AI.
• Advise teams as they evaluate and design AI-enabled solutions that are scalable, secure, and grounded in trusted People data.
• Balance near-term delivery with longer-term platform investments that reduce duplication and speed up future development.

• Build and enable shared integrations, data services, and platform automations that accelerate AI-powered solutions across the People organization.
• Evaluate and manage People Technology vendors, weighing build, buy, and integration decisions.
• Evolve People Technology toward consistent, shared platform capabilities and architectural patterns that empower builders across the organization.

• Use AI and modern development tools to prototype, automate, and deliver technology solutions that improve the employee and candidate experience.
• Partner with builders across the People organization so solutions draw on trusted data, follow governance standards, and are designed for maintainability and scale.
• Evaluate emerging technologies and identify opportunities to improve productivity, employee experiences, and operational effectiveness.

• Steward our core People Platform, including systems of record such as Workday and Greenhouse, ensuring reliable, secure, and scalable operations.

• Minimum of 5 years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or a PhD without experience; or equivalent work experience.
• Experience managing enterprise People platforms such as Workday, Greenhouse, or similar systems, including hands-on work designing or implementing integrations between them using APIs, middleware, ETL tools, or integration platforms.
• Supported Recruiting or Talent Acquisition through technology, with working knowledge of how hiring runs — offer approvals, requisition and application flows, and the sourcing or assessment tools behind them.
• Experimented with AI tools to automate work or build solutions, and can talk through what you tried, what you learned, and how you'd apply it to People Technology challenges. We're all learning, but you need to have started.
• Led technology initiatives end-to-end — from discovery and requirements through implementation, change management, and adoption — simplifying complex business processes along the way.
• Translate technical concepts for business stakeholders and business needs for technical audiences, and influence decisions across People, Security, Data, and Engineering teams.
• Preferred: Built AI-powered workflows, agents, or applications using AI APIs, agent frameworks, or automation platforms — prototypes and side projects count.
• Preferred: Written code or queries (Python, SQL, JavaScript) to automate workflows, manipulate data, or build integrations, using practices like source control, CI/CD, or Agile delivery.
• Preferred: Understanding of compliance and security standards relevant to People data (SOX controls, GDPR, data classification frameworks, access controls).

Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.