Nuvepro - Task Intelligence for the Enterprise
New Roles · AI Operators & Cross-Functional Roles

Responsible AI Officer. The role, the market signal, and how to build it in your org.

The HR-equivalent for AI. Owns AI's effect on people, inward (workforce evolution, role redesign, change management, who's at risk, who needs upskilling) and outward (customer fairness, regulatory submissions, public trust, audit-trail discipline). Anchor companies: PwC (CAIO Jul 2024), Accenture (CRAIO 2024), Microsoft (Office of Responsible AI), Salesforce (Office of Ethical and Humane Use), IBM (AI Ethics Board).

57 postings · 49 distinct titles · from 260,470 real job postings · see the live data →

What the market calls it
Chief Responsible AI OfficerAI Ethics OfficerAI Impact OfficerHead of AI SafetyOffice of Responsible AI
Hiring this role in our corpus right now
Accenture 13Bmo 5PwC 4Bosch 3Mastercard 3

What the postings ask this role to do

1,185 tasks extracted from real Responsible AI Officer job descriptions, classified Automate / Augment / Human-only. Only 2.3% can be fully automated: companies are hiring this role for the judgment, not the keystrokes.

Automate
  • Set up a job alert
  • Join the talent network
  • Prepare governance summaries.
  • Track defects within azure devops.
  • Collect audit evidence for sox it compliance.
Augment
  • Perform reperformance testing, sampling, and evidence validation to assess control execution.
  • Develop strategies to ensure the ethical and responsible use of artificial intelligence technologies.
  • Draft clear, risk-based issue descriptions and contribute to discussions on risk severity and impact.
  • Document process flows, control descriptions, and key risks based on walkthroughs and artifact reviews.
  • Develop and document test steps and test scripts aligned to approved testing methodologies and risk frameworks.
Human-only
  • Facilitate training sessions to enhance team understanding of responsible ai practices.
  • Contribute to continuous improvement of data & ai governance testing and advisory practices.
  • Support ongoing governance forums, working groups, or risk discussions related to data and ai governance.
  • Assist stakeholders in understanding risk and control expectations, governance standards, and testing outcomes.
  • Apply professional judgment to determine control effectiveness, identify control gaps, and assess residual risk.
How we build it in your org

From the market's version of this role to your version of it

1. Audit the work
Start Your Audit maps the tasks this role would own in your operation and classifies each one: what AI runs, what your people run with AI, what stays human.
2. Define your version
Your team composes the job description for your org's variant of the role, grounded in the audited tasks rather than a copied template.
3. Make people ready
A learning plan built from that job description, delivered in GenAI Sandboxes with Simulations and Competency Assessments. Readiness is demonstrated, not assumed.
Build your own

Compose your org's Responsible AI Officer job description

Start from the tasks real postings ask for, keep the ones that match your operation, add what is specific to you. The tasks carry their AI classification, so the JD you take away already says what AI runs and what stays with people.

Start with the work, not the org chart.

Run the audit on one operation and see what this role would own first.