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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. For details, please visit the company website: http://www.alvarezandmarsal.com |
About A&M Global Capability Center Private Limited |
In 2023, A&M established a high-quality global capability center in India. The capability center has dedicated centers of expertise which work with A&M leadership across multiple business units and geographies to enable efficient service delivery to A&M clients. The GCC is designed to efficiently and innovatively scale client delivery teams to meet ongoing demands. It helps A&M's global business units expand their talent pool in India, allowing them to hire specialized professionals, maintain competitive pricing, accelerate delivery speeds with a hybrid onshore-offshore team, and leverage automation with top-tier digital and analytics talent. The GCC blends industry and consulting professionals across multiple domains to drive change and add value. Unlike traditional GCC models focused on back-office support, we partner with case teams for end-to-end case delivery and thought leadership. Nearly 90% of our consultants hold advanced degrees, and our leadership team boasts over 1000 years of combined experience. We serve all major markets, including the Americas, EMEA, and APAC, and work across various industries such as Consumer & Retail, Healthcare, Software & Technology, Automotive & Industrials, Hospitality & Leisure, Energy & Natural Resources, and Financial Services. As we embark on this unique journey, the firm is actively seeking to build a strong, capable team for the center. The GCC is growing rapidly and is already a 900+ member team. |
How will you contribute? |
- AI Governance Strategy & Framework – Support the design and implementation of Enterprise AI Governance framework aligned with organization wide business objectives and regulatory requirements.
- Maintain and update AI policies, standards, and guardrails spanning the full model lifecycle — from ideation to deployment and monitoring.
- Advocate for responsible AI principles (fairness, accountability, transparency, privacy) across AI initiatives and project teams.
- Regulatory compliance & Policy: Track and drive the enforcements to global AI regulations (EU AI Act, NIST AI RMF, ISO/IEC 42001, GDPR, CCPA) and translate to internal controls
- Assist in preparing materials for AI-related regulatory submissions, audits, and third-party assessments.
- Support collaboration with legal, compliance, and external counsel on AI-specific regulatory obligations and contractual requirements
- Conduct AI risk assessments, bias audits, and model impact assessments for high-risk AI systems.
- Support the AI Ethics Review Board process by coordinating documentation and cross-functional reviews for new and existing AI use cases.
- Apply red-teaming, explainability, and fairness testing standards; document findings and track remediation actions.
- Collaborate with data science and engineering teams to embed governance checkpoints within MLOps pipelines.
•Mentor and guide team members on best practices in adopting Ai governance frameworks •Support in training and awareness sessions to internal business units and project teams on AI governance policies and best practices. •Evaluate and deploy AI governance tooling (model registries, audit trails, explainability platforms, bias detection tools). •Develop KPIs and dashboards to measure governance program maturity and risk posture over time. •Hands on experience in LLMs, Generative Ai and Agentic AI for productivity and accuracy. |
Qualifications |
- 8 - 13 years of experience in Data Science & AI Engineering and 3+ years in governance activities
- Bachelor's or master’s in computer science, Engineering, or related field
- Hands-on experience with MLOps platforms (MLflow, SageMaker, Vertex AI) and AI governance tools
- Experience working with or contributing to standards bodies (IEEE, ISO, NIST, Partnership on AI).
- Familiarity with Large Language Model (LLM) risk landscapes, including hallucination, prompt injection, and model misuse.
- Proven project credentials in design and implementation of Ai governance framework.
- Strong communication, stakeholder management, and team leadership skill
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Nice to have | |
- Relevant certifications for Data Governance Skills
- Background in financial services, healthcare, or regulated industries
- Strategic thinking to define long term AI-governance vision and bring in regulatory acumen.
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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 | |
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