EY-Parthenon - Strategy and Execution - Growth Platforms - AI ML Engineering - D
EY-Parthenon, Boston, MA, United States
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 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.
Your Key Responsibilities
Build and maintain our core advanced analytics platform and serve as technical execution lead for high-visibility client engagements.
Work with Business leaders and C-level executives to translate business needs into technically executable ML workflows and guide a high-performing team of engineers and contractors through end-to-end project lifecycles.
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).
Qualification Requirements
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, LogisticRegression 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.
Preferred Experience
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.
Benefits
Comprehensive compensation and benefits package with base salary range $205,000 to $235,000, medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Hybrid model: most people in client‑serving roles work together in person 40–60% of the time over the course of an engagement, project or year.
Flexible vacation policy allowing you to decide how much time off you need; includes paid holidays, winter/summer breaks, personal/family care, and other leaves of absence.
Equal Employment Opportunity Statement 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 ssc.customersupport@ey.com.
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EY-Parthenon – EY Growth Platforms - AI ML Engineering– Director 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.
Your Key Responsibilities
Build and maintain our core advanced analytics platform and serve as technical execution lead for high-visibility client engagements.
Work with Business leaders and C-level executives to translate business needs into technically executable ML workflows and guide a high-performing team of engineers and contractors through end-to-end project lifecycles.
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).
Qualification Requirements
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, LogisticRegression 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.
Preferred Experience
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.
Benefits
Comprehensive compensation and benefits package with base salary range $205,000 to $235,000, medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Hybrid model: most people in client‑serving roles work together in person 40–60% of the time over the course of an engagement, project or year.
Flexible vacation policy allowing you to decide how much time off you need; includes paid holidays, winter/summer breaks, personal/family care, and other leaves of absence.
Equal Employment Opportunity Statement 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 ssc.customersupport@ey.com.
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