Business Analyst- Identity and AI Governance

Job Title Sr Business Analyst, Machine Identity & Agentic AI Governance Location Remote Contract length 3 months (possibility of conversion) Schedule Fulltime, 40 hrs/week

Job Overview:

As our businesses build and adopt AI agents at an accelerating pace, every connection those agents make to internal systems — APIs, cloud services, collaboration tools, data stores — generates a machine identity that must be provisioned, monitored, and governed. These credentials proliferate fast, operate autonomously, and fall entirely outside the governance models built for human users. We are hiring a Senior Business Analyst to own and drive the Machine Identity & Agentic AI Governance program end-to-end. This is a newly created, high-visibility role that sits at the intersection of Identity, Cloud, Enterprise Applications, and Cybersecurity. You’ll lead the rollout and operationalization of HTS’s non-human identity (NHI) governance platform, build the processes and workflows that let lines of business move fast with appropriate guardrails, and establish the operational foundation that makes the broader AI governance program function. This role requires proven experience driving complex, high-visibility projects across multiple teams — both technical and business — within a large organization.

Job Responsibilities:

• NHI Governance Platform Rollout & Operationalization
• Drive the end-to-end deployment of NHI governance platform across environment, including integration with cloud platforms, identity providers, SaaS tools, and internal systems
• Partner with engineers and analysts on the IAM team to define and build the operational model for NHI discovery, classification, ownership assignment, and lifecycle management
• Develop dashboards, alerting, and reporting that give HTS and business stakeholders real-time visibility into machine identity posture
• Machine Identity Governance
• Establish intake, assessment, and approval workflows for new machine identities and agent credentials across lines of business
• Partner with domain SMEs to define lifecycle management processes — provisioning, rotation, access reviews, and decommissioning — for secrets, service accounts, API keys, and OAuth tokens
• Identify ungoverned or orphaned credentials and drive remediation in collaboration with Cloud, Identity, and Engineering teams
• Cross-Functional Partnership
• Serve as the operational connective tissue between Identity Management, Cloud Operations, Enterprise Applications, and the Cybersecurity team
• Partner with the Cyber team to translate policy into enforceable, automated controls
• Collaborate with the AI team and lines of business to enable governed adoption of agentic AI — governance as an enabler, not a bottleneck
• Represent HTS in cross-functional forums on AI governance and machine identity strategy
• Program Development
• Build and maintain runbooks, standards, and documentation for machine identity operations
• Track metrics that demonstrate risk reduction and operational maturity over time
• Stay current on the evolving NHI and agentic AI threat landscape and bring relevant practices back to HTS

Required Qualifications:

• Experience in Identity and Access Management (IAM), preferably including Identity Governance and Non-Human Identity (NHI) programs
• Strong technical project management experience—able to assess priority and risk, keep complex implementations on track, and proactively surface risks and ask for help rather than let issues surface late
• Solid technical grounding in modern integration technology, including APIs, cloud platforms, connectors, REST, SCIM, and enterprise system integrations
• Familiarity with OAuth, OIDC, SAML, and API key-based authentication patterns
• Business analysis experience, including the ability to gather requirements and produce technical requirements documents, design documents, and related program artifacts
• Conceptual understanding of secrets management platforms (e.g., HashiCorp Vault, AWS Secrets Manager, Azure Key Vault) and/or non-human identity tooling, sufficient to work effectively with the engineers implementing product customizations
• Conceptual understanding of cloud environments (AWS, Azure, or GCP) and how machine identities are created and used within them
• Ability to work across organizational boundaries: you’re as comfortable in a technical deep dive with engineers as you are presenting risk posture to…