EY-Parthenon - AI Business Solutions - Senior Director

Location:

New York, Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Hoboken, Houston, Los Angeles, McLean, Philadelphia, San Francisco, Seattle

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.

With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way – enabling you to shape your future with confidence.

Within the EY-Parthenon's service line, the AI Business Solutions team focuses on unlocking our opportunity potential for client AI solutions across EYP. We are a group of experienced professionals with deep technical expertise, business understanding, and consulting skills, bridging the gap between cutting‑edge AI technology and actionable client solutions. As such, we bring a wealth of knowledge to our clients in the context of complex AI implementations.

As a Senior Director with EY-Parthenon's AI Business Solutions team, you'll have the opportunity to work with some of the most innovative organizations in the world. You will lead the solutioning and deployment of AI solutions, working across various sectors to solve complex problems and improve performance. Moreover, you'll have the opportunity to help our clients navigate the AI landscape, developing innovative solutions in support of our EY-Parthenon offerings.

• 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 work streams 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.
• Building Relationships:
  Cultivate strong working relationships with clients and support to key decision makers.

• A bachelor's degree in Business, Analytics, Computer Science, Engineering, or a related field and 8 years of related work experience; or a graduate degree and approximately 7 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.
• The ability and willingness to travel and work in excess of standard hours when necessary.

• Experience gained within another large professional services organization.
• MBA is preferred.
• Dynamic individuals who thrive in ambiguous situations to help clients solve their most critical strategic, business, and economic challenges.
• Knowledge of how to leverage firm‑approved AI tools in a business setting,…