Description
About Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. 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
A&M’s Digital practice brings together experts from engineering, data science, and management consulting to help clients harness the power of artificial intelligence and machine learning. We work across industries to design, build, and deploy AI solutions that drive measurable business outcomes — from intelligent automation and predictive analytics to large-scale model deployment and AI strategy.
Our team combines deep technical expertise with hands-on delivery rigour, partnering with clients to turn AI ambition into operational reality.
The Opportunity
As a Senior Director within our Digital practice, you will lead the design and delivery of cutting-edge AI and machine learning solutions for A&M’s clients across industries. This is a senior leadership role for a technically exceptional individual who can bridge rigorous engineering with client-facing impact.
You will work with C-suite and senior technical stakeholders to shape AI strategy, oversee end-to-end model development and deployment, and grow A&M’s AI capability and market presence.
Role & Responsibilities:
Lead the end-to-end design, development, and deployment of AI and machine learning solutions, ensuring technical rigour and measurable client impact.
Advise senior client stakeholders on AI strategy, model governance, data architecture, and technology selection.
Direct multidisciplinary teams of data scientists, ML engineers, and consultants across complex, high-stakes engagements.
Qualifications:
Advanced degree (Master’s or PhD) in a hard science or engineering discipline — such as computer science, electrical engineering, mathematics, physics, or a closely related field.
Demonstrated experience building and deploying AI and machine learning solutions in production environments, including model development, MLOps, and integration with enterprise systems.
Exceptional analytical and problem-solving capabilities, with the ability to decompose highly complex, unstructured problems and drive pragmatic, high-impact solutions.
