EY-Parthenon – Growth Platforms – Data Scientist – Director Join EY-Parthenon as a Director of Data Science in the Growth Platforms service line. You will collaborate with business leaders, AI/ML engineers, and project managers to design, build, and scale AI solutions that power strategic growth initiatives and create enterprise value for Fortune 500 clients.

Key Responsibilities

Build and scale multi-source data pipelines—source, merge, and transform data assets that power high-visibility client engagements.

Architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards.

Collaborate with business leaders and C‑level executives to solve mission‑critical business questions with data.

Skills and Attributes

Lead ingestion and ETL design for structured and semi‑structured data (CSV, JSON, APIs, flat files).

Understand schema, data quality, and transformation logic for multiple client sources.

Design normalization and joining pipelines across vertical domains (insurance, consumer, economic).

Build data access layers optimized for ML (feature stores, event streams, vector stores).

Define and enforce standards for data provenance, quality checks, logging, and version control.

Partner with AI/ML and Platform teams to ensure data is ML‑ and privacy‑ready (HIPAA, SOC2, etc.).

Qualifications

Bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 5 years of related work experience; or graduate degree and approximately 3 years of related work experience.

Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management.

Expertise in cloud‑native data infrastructure (e.g., GCP, AWS, Snowflake, BigQuery, Databricks, Delta Lake).

Strong SQL, Python, or Scala proficiency and experience with orchestration tools (Airflow, dbt).

Experience with merging and reconciling third‑party data (public APIs, vendor flat files, dashboards).

Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use.

Basic understanding of ML/feature pipelines and downstream modeling needs.

Ability and willingness to travel and work in excess of standard hours when necessary.

Ideal Experience

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 Offer

Compensation and benefits package: base salary range $205,000–$235,000 plus medical, dental, pension, 401(k), paid time off, and flexible vacation policy.

Hybrid work model: 40–60% in‑person over the course of an engagement, project or year.

Support for physical, financial, and emotional well‑being through paid holidays, breaks, personal family care, and other leaves.

Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis.

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 or 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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