Business Systems drives efficiency across Datadog through business process analysis, systems automation and integrations, AI agent and MCP development, and vendor/software review. The team is increasingly embedded in cross-functional initiatives across People, Finance, GTM, Legal, Recruiting, and Technical Solutions — translating ambiguous business problems into scoped, buildable solutions and owning delivery end-to-end.

This is not a generalist BSA role. Each Senior BSA will own a cluster of business functions end-to-end, acting as an internal product manager for their domain rather than processing inbound requests reactively. There are two openings, each covering a different domain:

People, Recruiting, Legal or Finance, GTM, Procurement

As the role evolves alongside AI, Senior BSAs leverage agentic tools for data aggregation and context gathering while remaining the critical human-in-the-loop layer — owning business context and product outlook, validating use cases, managing stakeholder relationships, and making the judgment calls agents can't.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do:

Discovery and scoping: Translate ambiguous asks from business stakeholders into well-defined requirements that Business Systems Engineers can build against. Many stakeholders don't know what they want or the cross-functional impact of what they're asking for — you surface both before engineering begins.
Cross-functional visibility: Identify dependencies, downstream impacts, and integration considerations that requesting teams miss.
Proactive opportunity identification: Develop deep domain knowledge to identify automation and AI opportunities before they become inbound requests, shifting the team from reactive intake to strategic partnership.
Stakeholder relationship ownership: Serve as the primary point of contact for your domain, reducing ad hoc consultations that currently land on the team lead and senior ICs.
Systems and governance: Review system configuration, data integrity, and vendor fit within your domain and make recommendations to stakeholders and BSEs; maintain clear documentation (process diagrams, system flows, user guides); ensure compliance with security and privacy standards (e.g., GDPR, SOX).

Who You Are:

Prior experience as a Business Systems Analyst or in a similar role, ideally within a high-tech or SaaS environment
Experience owning a business domain end-to-end; comfortable operating like an internal product manager
Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders and manage relationships with senior leadership
Proven track record using AI/agentic tools for data aggregation and context-gathering, while knowing where human judgment is still required
Demonstrable experience turning business processes into agentic or automated workflows in a prior role
Experience in managing projects, particularly those involving multiple stakeholders and complex integrations
Familiarity with security, privacy, and compliance standards (e.g., SOX, GDPR, SOC, ISO)
4+ years as a business system administrator (e.g., NetSuite, Salesforce, Workday, Zendesk) or a business systems analyst leading complex, cross-functional projects or a similar role
4+ years managing multiple projects simultaneously and formulating business design documents
You are comfortable with deciphering technical documentation (e.g., API documentation) and translating business to technical requirements
By domain:
People, Recruiting, Legal domain: exposure to HRIS/ATS/contract lifecycle systems (e.g., Workday, Greenhouse) and the cross-functional dependencies between them
Finance, GTM, Procurement, Technical Solutions domain: exposure to financial systems, deal desk, or procurement/vendor management tooling (e.g., NetSuite, Salesforce, Zendesk, Zip) and downstream data integrity implications