Responsible AI Specialist for Newra, Part of Accenture

Written by the T&S Network from Accenture's posting.

Responsible AI governance inside a bank's AI program, covering the full AI delivery lifecycle for a joint banking initiative with Piraeus. The work sets the guardrails, risk assessments and governance checkpoints that move AI systems from experimentation to production, spanning core banking through customer experience.

• AI misuse and jailbreaks

What you'd do

• Build Responsible AI governance frameworks that guide teams through designing, deploying and monitoring AI systems.
• Author usable policies, controls, checklists and guardrails covering generative, agentic, ML and vendor AI tools.
• Assess AI use cases by category, risk tier, regulatory exposure and ethical concerns, then plan mitigations.
• Define documentation rules so models and systems stay transparent, explainable, auditable and traceable across their life.
• Place governance review gates in product, data, engineering, security, compliance and release workflows.
• Set up dashboards and reports tracking responsible AI uptake, compliance maturity, risk exposure and control performance.
• Create enablement content so teams can understand AI risks and apply guardrails.

What it asks for

• Degree in law, risk, compliance, business, technology, data, AI ethics, public policy or an equivalent field.
• Two to three years in AI governance, tech risk, compliance, model risk, regulatory advisory or digital transformation.
• Familiarity with AI rules and standards like the EU AI Act, DORA, GDPR, ISO and NIST AI RMF.
• Able to turn regulatory obligations into concrete guidance engineers and product teams can act on.
• Experience in AI/ML lifecycle governance, model validation, monitoring or third-party AI risk reviews (preferred).

Worth knowing

• Role is with a consulting firm serving a bank client.

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