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 lifecycles, 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., LangChain, LlamaIndex).
• Design and build robust data pipelines that are scalable, reproducible, and versioned.
• Collaborate with Data Engineering and DevOps 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, LogisticsRegression 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 TensorFlow, 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. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Join us in our team‑led and leader‑enabled hybrid model. 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.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity / expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at View email address on click.appcast.io.