AI Governance & Risk Analyst

DataArt · IT Outsourcing & Dedicated Teams · Custom Software Development · 5 hours ago

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Location

Remote (Bulgaria, Cyprus, Poland, Romania, Serbia, Ukraine, Armenia, Georgia, Latvia)

Seniority

Junior · 2+ years exp

Visa

Sponsors visas in United States; no register of this country names it

Employment

Full-Time

Confirmed on the employer's own hiring board on Nov 11, 2026. First seen by Alion on Nov 11, 2026. DataArt scores B on the Alion truth index.

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DataArt

DataArt is a global software engineering and consulting firm headquartered in New York that builds and modernises custom software, data platforms and cloud infrastructure for clients in finance, travel, healthcare, media and retail. Founded in 1997, it runs delivery centres across Europe, the Americas and Asia, including offices in Wroclaw, Lublin and Lodz in Poland and teams in India, and works with more than 400 enterprise clients. Its openings include senior .NET, Java, Python and frontend engineers, DevOps and site reliability engineers, data architects and data engineers, QA automation leads and solution consultants.

dataart.com · HQ: New York, United States · IT Outsourcing & Dedicated Teams · Custom Software Development · 51-200 employees · Est. 1997

Tech stack of DataArt

We are looking for an AI Governance & Risk Analyst to support AI policy implementation, risk assessments, and governance activities across AI use cases. You will help define guardrails, support reviews, and improve oversight for AI systems and related vendors.

This project supports the safe and practical adoption of AI capabilities within a logistics focused platform. You will help close governance gaps, guide risk tiering, and support controls for AI solutions throughout their lifecycle.

Turn AI policies into practical local standards
Fill policy gaps for agents, non human identities, and Superblocks with lightweight guardrails
Run AI use case intake and risk tiering
Guide DPIAs and vendor reviews
Set agent boundaries for read and write scopes and human in the loop controls
Define RAG data access tiers
Check audit logging and the impact of vendor model updates
Support AI solution lifecycle and decommissioning activities

Experience with 2 to 4 years in IT risk, data governance, or information security compliance
Experience working in a matrixed organization
Understanding of GenAI basics
Ability to work with stakeholders across multiple teams

Experience with UK or EU DPIAs
Experience with GCP governance
Experience in logistics environments

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