Description

About Alvarez & Marsal

Alvarez & Marsal (A&M;) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry.

The collaborative environment and engaging work - guided by A&M;'s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity - are why our people love working at A&M.;

The Team

You will be joining a newly formed Global AI & Knowledge Organization (GAIKO) led by a Chief AI & Knowledge Officer who is moving rapid. The team is global, still being staffed, and operating with urgency. The broader team includes a product & tech pillar, change management, KM services, operations and value & governance.

How You Will Contribute

- AI Governance & Policy
- Working in partnership with the GAIKO + IT+ Risk + InfoSec and with support of the AI Operating Committee (AIOC), help design and operationalize the firm's global Responsible AI framework, including policies, standards, intake processes, use case approvals, and risk escalation procedures.
- Define the firm’s end-to-end pathway for creating and deploying AI — who may build, in which environments (including sandbox standards for prototyping and experimentation), what data controls apply at each stage, and the gates, criteria, and approval forums required to move work from internal experimentation to client-facing deployment — integrating with, rather than duplicating, existing technology risk review forums.[C1.1]
- Provide RAI assessments of proposed AI tools and partnerships, evaluating data residency, confidentiality, bias, and compliance risk. This includes independently supporting the evaluation of vendors’ technical architecture and data-handling claims, in partnership with Information Security.
- Co-own and maintain, with GSO and other designated stakeholders, [JB2.1][C2.2]the firm's AI Responsible Use guidelines, updating them as the regulatory landscape evolves across key jurisdictions (EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR, India DPDP Act, and others).
- Define the RAI function's charter, roadmap, and KPIs in collaboration with the other relevant stakeholders; build the operating model for how RAI integrates with risk, delivery, legal, compliance, and IT security teams globally.




- Serve as a firm-wide subject matter expert on AI governance, policy, and responsible use strategy.
- Ethics & Bias Review
- Design and lead a repeatable pre-deployment ethics review process for AI models and tools, including fairness audits, bias testing, impact assessments, documentation standards, escalation paths, and sign-off criteria.
- Build and strengthen client AI case review processes ensuring that AI used in client engagements meets appropriate standards for transparency, bias, accuracy, and data handling before delivery.
- Build playbooks and toolkits that embed responsible AI principles into project delivery lifecycles across all practice areas and geographies.
- Partner closely with the Change Management function to weave RAI messaging into the firm's broader AI adoption and culture change agenda, making responsible use a visible, positive part of the firm's AI transformation, not a compliance afterthought.
- AI Risk & Audit
- Define and manage a global AI risk taxonomy and register; assess risk across the full AI lifecycle (data sourcing, model development, deployment, monitoring, and decommissioning).
- Establish audit and monitoring mechanisms for production AI systems, including tracking for model drift, performance degradation, data handling violations, and regulatory compliance gaps.
- Collaborate with Legal, Compliance, and IT Security to ensure all AI deployments meet applicable data privacy, security, and regulatory requirements across jurisdictions.
- Serve as the RAI technical counterpart to Information Security across all AI work including vendor tools, internally built solutions, agentic workflows, and engagement-team prototypes, and jointly evaluating data handling, controls, security architecture, and residency.
- Prepare and deliver executive-level risk reporting on the firm's AI risk posture for the AIOC and, where required, for escalation to the AI Board or client audiences.

Qualifications

- 8–12 years of total experience, with at least 2 years focused on AI governance, responsible AI, technology risk,



or a closely related discipline.
- Demonstrated experience building a governance framework, risk program, or compliance function. Prior experience standing up a new function or practice is strongly preferred.
- Hands-on technical experience assessing AI/ML systems: data flows and pipelines, model development lifecycles, API and integration architecture (including agentic patterns and MCP-style integrations), cloud data residency and security controls, and common bias and fairness methodologies.
- Ability to independently evaluate a vendor’s technical and data-handling claims and partner credibly with information security teams on assessments — challenging technical evidence, not only summarizing it.
- Career background in ML engineering, data engineering, security/GRC engineering, or technology risk with demonstrable technical depth. Candidates whose experience is exclusively policy or legal are unlikely to meet the technical bar for this role.
- Solid command of key regulatory and standards frameworks relevant to a global consulting firm: EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR, and India's DPDP Act.
- Ability to operate effectively across geographies and time zones; comfortable collaborating with a primarily USbased leadership team from an India-based position.
- Strong written and verbal communication skills; able to translate complex risk and governance concepts for both technical practitioners and C-suite audiences.
- Proven ability to influence without authority in a matrixed, fast-paced professional services setting.

Your journey at A&M; We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person’s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career. We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M.; The possibilities are endless for high-performing and passionate professionals.

📌 Manager, Resposible AI, GESS - Global Capability Center (Gurugram)
🏢 Alvarez u0026 Marsal
📍 Gurugram