AI Safety and Responsible AI Lead

Req ID: 382100

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a AI Safety and Responsible AI Lead to join our team in Jersey City, New Jersey (US-NJ), United States (US).

AI Safety & Responsible AI Lead

Responsible AI / AI Governance / Model Risk / Ethical AI

Role purpose

Define and operationalize Responsible AI practices across the AI lifecycle for AIRP and enterprise citizen-development initiatives. The role ensures AI systems are safe, fair, explainable, transparent, compliant, monitored, and aligned with enterprise values, model risk, legal, compliance, data governance, cybersecurity, and audit expectations.

Client-specific emphasis

• The organization is aiming to democratize AI responsibly; this role must support enterprise AI plus citizen development through Microsoft Power Platform, Copilot Studio, Power Apps, Power Automate, and Power BI.
• Governance must be practical enough to support business AI use cases while satisfying banking, model risk, security, privacy, and audit controls.
• The candidate should be able to govern high-risk workflows such as KYC, credit underwriting, financial crime, and sanctions screening.

Primary ownership

• Responsible AI policy, control framework, risk taxonomy, governance workflows, and production-readiness criteria for AIRP and citizen AI use cases.
• AI risk assessments, impact assessments, safety evaluations, model-risk alignment, and post-production monitoring standards.
• Cross-functional alignment across engineering, product, legal, compliance, model risk, audit, cybersecurity, data governance, and citizen-development enablement teams.

Key responsibilities

• Define Responsible AI standards, policies, procedures, risk-classification methods, and operating models for AI and GenAI initiatives.
• Establish governance processes for use-case intake, risk assessment, model review, approval workflows, deployment readiness, ongoing monitoring, and issue escalation.
• Develop safety and evaluation frameworks covering fairness, bias, explainability, transparency, robustness, privacy, hallucination, harmful outputs, human oversight, and overreliance.
• Define guardrail requirements for LLMs, RAG systems, agentic workflows, high-risk banking applications, and citizen-development solutions.
• Partner with model risk, legal, compliance, data governance, cybersecurity, audit, product, engineering, and business teams to align AI controls with enterprise expectations.
• Lead AI impact assessments, risk reviews, control assessments, readiness reviews, remediation planning, and AI incident escalation processes.
• Establish metrics and monitoring for bias indicators, safety violations, explainability gaps, harmful outputs, hallucination trends, user feedback, and behavior drift.
• Create governance playbooks and reusable control evidence for AIRP use cases and Power Platform / Copilot Studio citizen-development workflows.

Must-have candidate profile

• Deep understanding of Responsible AI, AI ethics, model governance, model risk, explainability, fairness, privacy, safety, and enterprise risk management.
• Experience implementing AI governance or Responsible AI controls in production or enterprise environments.
• Understanding of LLM-specific risks such as hallucination, bias, toxicity, prompt injection, data leakage, overreliance, unsafe automation, and human oversight gaps.
• Ability to translate policy and regulatory expectations into practical product, engineering, operating, and audit controls.
• Experience working with cross-functional risk, compliance, legal, security, data, audit, product, and engineering stakeholders.
• Ability to define controls that scale across centralized AI platforms and distributed citizen-development adoption.

Preferred experience

• Experience in banking, insurance, fintech, consulting, regulatory risk, model risk management, technology governance, or data governance.
• Experience building AI risk taxonomies, control libraries, governance operating models, Responsible AI playbooks, or model-risk-aligned review processes.
• Familiarity with Power Platform, Microsoft Copilot Studio, Power Apps, Power Automate, Power BI, global AI governance frameworks, model validation practices, privacy regulation, and audit expectations.

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role will depend on the nature of the role offered and will either be [$155,700 - $259,500], if the role is hired as a temporary position. Actual compensation will depend on a number of factors, including the candidate’s relevant experience, technical skills, and other qualifications.

This position may also be eligible for incentive compensation based on individual and/or company performance. If the position offered in temporary, the position will not be eligible for incentive compensation.

This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, 

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