AI Governance Analyst 1

Datadog

Salary: $102k - $130k
Experience: 3+ yrs
Location: New York, New York, United States
Job type: Full-time

Required skills

Kafka
Cassandra
Redis
Python
Go
CI/CD

About the role

The Opportunity

Datadog is hiring a Governance Analyst to focus on the unique challenges of AI Orchestration. This role requires a blend of technical acumen, policy understanding, and process design skills to ensure AI systems operate within lawful and policy-compliant boundaries by design. This person will be instrumental in moving the governance model from process review to continuous, embedded constraint.

About the Team

The small, high-impact Applied Privacy & Governance team connects engineering, legal, and product development teams to scale governance, embed security, privacy, and AI safety, and ensure compliance. The rise of AI agents is shifting the team into an "orchestration era," making governance a foundational architecture, not just a gate review.

The successful candidate will be a hands-on analyst who:

Translates regulatory and policy requirements into actionable governance frameworks for AI orchestration systems.
Designs and implements process guardrails and controls upstream—within AI orchestration prompts, system architecture, and LLM pipeline design—to ensure continuous governance.
Partners with engineering and legal teams to define, monitor, and audit the behavior of AI agents operating at scale.
Develops new governance workflows and documentation standards to manage the novel risks of AI-generated code, model behavior, and automated data flows.

Audits our AI landscape surface, including AI-generated code, model behavior, and data flow through automated pipelines.
Analyzes risk that comes from AI agents operating between human oversight moments, occurring faster and at greater volume.
Achieves compliance with external frameworks through Governance-as-Architecture, Model Output Monitoring, Constraint Layer Auditing, and Policy Implementation Workflow.
Core expertise includes regulatory knowledge, process, and stakeholder management, plus Policy-to-Architecture Translation, AI Orchestration Process Design, and Risk Auditing.

The key areas of focus are: Policy-to-Architecture, AI Governance, Process Design, Risk Auditing, and Stakeholder Alignment.

What You'll Do

AI Orchestration Governance & Process Design
- Develop governance standards and policy enforcement for AI-powered features and internal orchestration systems.
- Design and implement workflows for defining, reviewing, and tracking governance constraints at the prompt, pipeline, and infrastructure level.
- Define and implement audit surfaces for AI-generated code and model behavior to ensure accountability.
- Develop monitoring and reporting frameworks for data flows through automated pipelines and LLM tool-use chains.
- Own the governance lifecycle for new AI features, from risk scoping to operational monitoring.
Cross-Functional Partnership & Influence
- Lead sessions with engineering, product, legal, and compliance to assess risk and design scalable solutions.
- Act as a consultant, translating complex legal/policy requirements into concrete process steps and architectural needs.
- Clearly communicate complex AI and governance risk to audiences ranging from engineers to executives.
- Socialize AI governance best practices, building a culture where compliance is an architectural feature.
Policy & Systems Integration
- Work with Security and Privacy Engineers to ensure policy-as-code systems reflect governance requirements.
- Contribute to the design of data lifecycle management (deletion, retention, access) processes for AI-driven data.
- Develop and maintain key governance documentation, including tailored AI governance policies and risk assessment templates.

What We're Looking For

Must-Haves
- 3+ years experience in a compliance, governance, program management, or technical analyst role in a high-scale tech environment.
- Demonstrated ability to translate complex regulations (GDPR, CCPA, etc.) into implementable process controls and system requirements.
- Experience designing and operationalizing governance, compliance, or risk management workflows for technical teams.
- Strong cross-functional communication and stakeholder management skills.
- Comfort operating with ambiguity and driving initiatives without formal authority.
- Technical literacy: Ability to understand distributed systems (Kafka, Cassandra, Redis) and modern software development/CI/CD pipelines to design integrated controls.
Strong Differentiators
- Direct experience implementing governance controls for AI/ML pipelines or LLM-based product features.
- Familiarity with orchestration frameworks, AI agent architectures, or tool-use systems (e.g., LangChain).
- Experience with Policy-as-Code systems or defining requirements for automated compliance scanning.
- Prior exposure to SDLC governance integration, threat modeling, or privacy impact assessments in a technical capacity.
- Basic coding/scripting skills (e.g., Python, Go) sufficient to understand code and data flows.

Benefits and Growth:

New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Intradepartmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Access to Inclusion Talks, our internal panel discussions
Free, global mental health benefits for employees and dependents age 6+
Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is:

$102,000—$130,000 USD

About Datadog:

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

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About Datadog

Observability and security platform for cloud applications and infrastructure.

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