EY-Parthenon - Strategy and Execution - Platforms - AI ML Engineering - Director

Position: EY-Parthenon - Strategy and Execution - Growth Platforms - AI ML Engineering - Director

Location:

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

EY-Parthenon – EY Growth Platforms - AI ML Engineering – Director

At EY-Parthenon, our unique blend of strategy, transactions and corporate finance, combined with cutting‑edge AI technology, delivers real‑world value for clients. We partner with CEOs, Boards, private equity and governments to drive transformation. In this Director role, you will co‑lead the AI/ML engineering team, build a scalable analytics platform, and deliver high‑visibility solutions that create enterprise value for Fortune 500 clients.

Your

key responsibilities

The EY Growth Platforms AI ML Engineering Director will play a critical role building and maintaining our core advanced analytics platform and serving as the technical execution lead for high‑visibility client engagements. You will translate business needs into executable ML workflows, lead a high‑performing team of engineers and contractors through end‑to‑end project life cycles, and guide C‑level executives through technical decisions.

Skills and attributes for success

• Partner with Business and Strategy Leads to translate business needs into executable AI workflows, data pipelines, and client‑specific product specifications.
• Define the end‑to‑end architecture for agents that integrate LLMs, retrieval‑augmented generation (RAG), multi‑source data ingestion, and analytics components.
• Lead model selection, feature engineering, embedding strategy, and prompt frameworks (e.g., Lang Chain, Llama Index).
• Design and build robust data pipelines that are scalable, reproducible, and versioned.
• Collaborate with Data Engineering and Dev Ops on pipeline integration, data normalization, and system deployment.
• Set coding standards and mentor junior engineers; perform model/code reviews and LOE, scope and roadmap refinement.
• Own delivery of AI/ML‑powered components from prototype to production (REST APIs, dashboards, or embedded agents).

To qualify for the role, you must have

• A bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
• Full‑time, hands‑on experience applying AI/ML to solve real‑world problems.
• Strong experience using the following ML models: XGBoost, Logistics Regression or similar.
• Strong understanding of real‑world structured data merging, schema linking, and model evaluation at scale.
• Strong understanding of ML workflow, including ingesting, analyzing, transforming data, and evaluating results to make meaningful predictions.
• Fluency in Python, PyTorch or Tensor Flow, with ability to architect APIs around ML models.
• Proven experience designing, building, and maintaining ML models, frameworks, and pipelines.
• Experience working with and/or leading cross‑functional business/engineering teams to deliver complex solutions.
• Excellent communication skills, with the ability to convey complex, technical concepts and progress, methodologies, solutioning, and results to business and client stakeholders.
• The ability and willingness to travel and work in excess of standard hours when necessary.

Ideally, you will have

• Experience building and deploying AI/ML products or features in a production environment.
• Experience working in a startup and/or management/strategy consulting.
• Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
• Collaborative, problem‑solving, and growth‑oriented mindset.

What we look for

We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

What we offer you

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000.…