EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Director

EY-Parthenon; Seattle (WA); Hybrid; USD 205,000 - 235,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Job summary

EY-Parthenon seeks a Growth Platforms Data Scientist Director in Seattle to architect and scale multi-source data pipelines powering AI/ML-driven agents and dashboards. You will transform data, ensure quality, and collaborate with business leaders to solve high-impact questions with data.

The role requires fluency in SQL/Python/Scala, experience with cloud data stacks (GCP/AWS, Snowflake, BigQuery, Databricks), and expertise in ETL, data provenance, and governance.

Qualifications

• Bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field plus 5 years of experience; or a graduate degree with ~3 years of experience.
• Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management.
• Expertise in cloud-native data infrastructure (GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake).
• Strong SQL/Python/Scala and orchestration tools (Airflow, dbt).

Responsibilities

• Build and scale multi-source data pipelines powering client engagements.
• Architect, clean, transform, and enrich data for AI/ML-driven agents and dashboards.
• Collaborate with business leaders and C-level executives to solve critical questions with data.

Skills

SQL

Python/Scala

ETL design

Data pipelines

Data governance

Cloud platforms

Education

Bachelor's degree in related field

Graduate degree (MS/PhD) in related field

Tools

Airflow

dbt

Snowflake

BigQuery

Databricks

Delta Lake

Job description

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

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world.

The Opportunity

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

The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines— sourcing, merging, and transforming data assets that power high‑visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML‑driven agents and dashboards, and collaborate with business leaders and C‑level executives to get hands‑on experience solving some of the most interesting and mission‑critical business questions with data.

Skills and Attributes for Success

• 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 sources on a client‑by‑client basis (NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs).
• Design normalization and joining pipelines across vertical domains (insurance, consumer, economic data).
• 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.).

To Qualify for the Role

• 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.
• 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/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.
• The ability and willingness to travel and work in excess of standard hours when necessary.

Ideally, You Will Have

• 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

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment and fuel your extraordinary talents in a diverse and inclusive culture of globally connected teams.

• 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 a 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.
• A flexible vacation policy, granting you time off as needed. 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.

EY accepts applications for this position on an ongoing basis.

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 contact 1‑800‑EY‑HELP3, select Option 2 for candidate‑related inquiries, then Option 1 for candidate queries, and finally Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team or email the TSS at [e-mail].