EY-Parthenon - AI Business Solutions - Director

About the role

EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real-world value – solutions that work in practice, not just on paper. Benefiting from EY’s full spectrum of services, we’ve reimagined strategic consulting to work in a world of increasing complexity.

Responsibilities

• Lead the development and deployment of AI solutions, working across various sectors to solve complex problems and improve performance.
• Help clients navigate the AI landscape, developing innovative solutions in support of EY-Parthenon offerings.

Requirements

• A bachelor's degree in Business, Analytics, Computer Science, Engineering, or a related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
• Significant management consulting experience.
• Proven history of developing and deploying AI solutions in real-world settings, ideally across multiple sectors.
• Experience engaging directly with clients to assess their needs and propose AI-driven solutions aligned with business objectives.
• Excellent analytical skills and the confidence to translate complex data into meaningful insights.
• Experience leading small teams and mentoring junior professionals to ensure project success and knowledge sharing.

Qualifications

• Knowledge of how to leverage firm-approved AI tools in a business setting, including Microsoft Copilot.

Skills and attributes for success

• Business consultant: Experience engaging directly with clients to assess their needs, supporting / leading positioning meetings, conduct workshops, and propose AI-driven solutions aligned with business objectives.
• AI and Machine Learning Expertise: Deep knowledge of AI fundamentals, including algorithms, data structures, and programming languages like Python.
• System Design and Architecture: Competence in crafting scalable, maintainable AI systems, with proficiency in cloud platforms (e.g., AWS, Azure), microservices, and APIs.
• Data Engineering: Expertise in managing large datasets, building data pipelines, and ensuring data quality, preprocessing, and governance for AI applications.
• Project Management: Skills in time management, task prioritization, and leading or contributing to project workstreams under tight deadlines.
• Security and Ethics: Knowledge of AI-related security risks, data privacy, bias mitigation, and compliance with regulations (e.g., GDPR or industry-specific standards).
• Business and Commercially Driven: Work in a fast-paced, exciting environment with strong business acumen to drive value to our clients.
• Learning: Learn and develop technical and personal skills to support achievement of career goals, through a blend of structured learning, coaching and experiences.
• Building Relationships: Cultivate strong working relationships with clients and support to key decision makers.

Benefits

Our comprehensive compensation and benefits package includes:

• Base salary range for this job in all geographic locations in the US is $205,000 to $235,000.
• Pension and 401(k) plans.
• A wide range of paid time off options.

Pay

The base salary range for this job in all geographic locations in the US is $205,000 to $235,000.

Schedule

Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.