Hiring nowResponsible AI governance and risk

AI Impact Assessment Specialist

Also called Algorithmic Impact Assessor

An AI Impact Assessment Specialist works out how an AI system could affect people and communities, then makes sure the serious risks are dealt with before launch. They protect the company from harm, and from avoidable surprises.

What they do

They run impact assessments on AI systems before and during deployment. They map who the system touches, including people who never chose to use it. They talk to product teams, engineers, legal and affected groups to understand how the system really behaves. They record likely harms in risk registers, link them to entries in the model inventory, and keep the evidence trail in order. They propose mitigations, agree owners with the teams involved, and check the fixes happened. They also write findings that engineers, executives and regulators can all follow.

What a strong hire delivers

Within the first months, a strong hire sets up an assessment method the company can repeat. They complete assessments on the highest-risk systems and get clear mitigations agreed with named owners. They bring affected stakeholders into the process in a practical way. They link assessments to the model inventory and risk register, so decisions can be traced. Teams start to ask for an assessment early, not at the last minute.

How you can tell they are good

Ask them to walk through a real assessment from start to finish. Listen for who they consulted, what they found that was not obvious, and what changed as a result. Good candidates separate likely harm from theoretical harm and explain trade-offs plainly. Be wary of generic checklists, vague talk of ethics, or assessments that never stopped or altered a launch.

Why it is hard to fill

The title varies widely, so searching by it misses good people. The work sits between risk, compliance, technical understanding and social research, and few people have all four. Many candidates are strong on policy but cannot read a system. Others are technical but have never spoken with affected communities. Real experience of participatory assessment is rare, so we look at the work done, not job titles.

Where to find them

They usually come from risk management, compliance, audit, technology governance or responsible AI teams. Some move over from privacy, data protection or human rights assessment work. Others come from user research or policy roles with a technical bent. Look in financial services, healthcare, public sector bodies, consultancies, and AI companies that sell into regulated industries or have an established governance function.

Indicative pay

Not enough published evidence yet to give a fair range for this role, which is common for work this new. We benchmark it for you as part of a search.

Interview questions for an AI Impact Assessment Specialist

  1. Describe an impact assessment you ran. Who was affected, and what changed because of it?

    Strong answers name specific groups, the method used, and a concrete change to the system or launch plan. Worry if they only describe process, cannot name a real outcome, or claim nothing needed changing.

  2. How do you decide which AI systems need a full assessment and which need a light one?

    Look for a clear triage logic: severity of harm, scale, vulnerability of people affected, reversibility and autonomy. Good answers accept judgement is needed. Worry about one-size-fits-all rules or reliance on a single score.

4 more questions, with what a strong answer covers, are in the Role Kit.

Job description you can post

We are hiring an AI Impact Assessment Specialist to help us understand how our AI systems affect people and communities. You will assess systems before deployment, work with the teams building them, and make sure material risks are addressed. We value clear thinking and practical results.

What you will do

  • Run impact assessments on AI systems before and after deployment
  • Identify affected people and communities and gather their input
  • Record risks and evidence in our risk registers and model inventory
  • Agree mitigations with product and engineering teams and track them to completion
  • Write clear findings for technical, executive and regulatory audiences
  • Help teams spot when a change needs a fresh assessment
  • Improve our assessment method as we learn

What you will bring

  • Examples of impact or risk assessments you have led and what they changed
  • Experience in risk management, compliance, audit, technology governance or responsible AI
  • Working knowledge of how AI systems are built, tested and deployed
  • Ability to assess fairness and wider societal effects of a system
  • Clear written and spoken communication with technical and non-technical people
  • Comfort challenging decisions and holding a position with evidence

Nice to have

  • Experience running participatory or community-based assessments
  • Background in privacy, data protection or human rights assessment
  • Familiarity with AI governance standards and emerging regulation

Free to use and adapt. If it saves you time, a link back to this page is appreciated.

Skills that matter

  • AI risk managementAdvancedIdentify, assess, treat and monitor AI risks
  • AI governance and assuranceAdvancedAssign accountability and verify lifecycle controls
  • Fairness and impact assessmentWorkingAssess unequal errors, access and downstream impacts
  • Technical communicationWorkingExplain evidence and limitations to relevant readers

Other roles in responsible AI governance and risk

Hiring nowResponsible AI LeadA Responsible AI Lead sets who owns AI risk and makes sure the controls around it work. They matter because customers, regulators and boards now ask…Hiring nowAI Risk ManagerAn AI Risk Manager identifies, assesses and tracks the risks in a company's AI systems against agreed tolerances. They give leaders a clear view of…EmergingAI Inventory and Governance AnalystAn AI Inventory and Governance Analyst keeps a current record of every AI system a company builds or buys, who owns it and what it must comply with…EmergingFrontier Risk and Preparedness LeadThe Frontier Risk and Preparedness Lead owns the company's plans, thresholds and responses for highly capable AI systems. They make sure serious…Hiring nowAI Governance LeadAn AI Governance Lead builds the frameworks, inventories and policies that make AI risk visible and give each system a named owner. It matters…Hiring nowResponsible AI EngineerA Responsible AI Engineer builds bias testing, transparency and provenance into AI systems. They turn risk policy into working controls, so the…Hiring nowAI EthicistAn AI Ethicist advises on the value trade-offs inside product and deployment decisions. They help a company decide what it should build and ship…

Related roles in other families

Hiring nowAI AuditorAI assurance, audit and standardsAn AI Auditor independently tests whether a company's AI controls work as claimed, against an agreed scope and criteria. They give buyers, partners…Hiring nowAI Assurance SpecialistAI assurance, audit and standardsAn AI Assurance Specialist independently tests the claims made about an AI system and the evidence behind them. They help a company show customers…EmergingAI Management Systems SpecialistAI assurance, audit and standardsAn AI Management Systems Specialist builds and runs the processes that keep an AI company's governance real: policies, controls, evidence and…EmergingAI Standards EngineerAI assurance, audit and standardsAn AI Standards Engineer turns applicable technical standards into clear implementation criteria and shows the evidence that a system meets them…

How we wrote this

Role definitions are our own editorial work, checked against occupational classifications, standards, research and employer pages. Titles vary by company, and this is a description of the work, not a job advert.

← Responsible AI governance and riskAll new job families

Start a search

Hiring an AI Impact Assessment Specialist?

Tell us the work. We find the people already doing it, whatever their job title says, and you meet them already interviewed for your role.