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

EY-Parthenon; Houston (TX); Hybrid; USD 205,000 - 235,000; Full time

Benefits offered by this job

Comprehensive compensation and benefits

Flexible vacation policy

Hybrid working model

Job summary

EY-Parthenon in Houston is seeking a Data Scientist Director to lead innovative AI projects and drive enterprise growth. The role involves collaborating with leaders to design scalable AI solutions and architecting data to enhance business value.

The ideal candidate will have relevant work experience, robust skills in data engineering, and proficiency in SQL and cloud technologies. A strong compensation package includes a salary range of $205,000 to $235,000, medical benefits, and flexible vacation policies.

Qualifications

• 5 years related work experience or 3 years with a graduate degree.
• Experience in data engineering or hybrid data science roles.
• Comfort with defining semantic layers for AI use.

Responsibilities

• Collaborate with leaders to design and scale AI solutions.
• Architect and enrich data for AI-driven projects.
• Partner with teams to ensure data privacy compliance.

Skills

Data ingestion and ETL design

Data quality and transformation

Cloud-native data infrastructure

SQL/Python/Scala proficiency

Third-party data merging

ML/feature pipelines understanding

Education

Bachelor’s degree in relevant field

Graduate degree (optional)

Tools

GCP

AWS

Snowflake

Airflow

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.

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.

Key Responsibilities

The EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for Fortune 500 clients. The 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 on mission‑critical business questions.

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 such as 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, SOC 2, 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 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.
• Willingness to travel and work in excess of standard hours when necessary.

Ideal Qualifications

• 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.

Benefits

• Comprehensive compensation and benefits package with a base salary range of $205,000 to $235,000, alongside medical and dental coverage, pension and 401(k) plans, and paid time off options.
• Hybrid model: most client‑serving roles expect 40–60% in‑person collaboration.
• Flexible vacation policy allowing employees to choose their vacation time, plus designated EY paid holidays and additional leaves of absence.

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

EY accepts applications for this position on an ongoing basis.

For those living in California, please click here for additional information.

Equal Employment Opportunity

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.

Accommodation Statement

EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and need assistance applying online or request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3 and select the appropriate option for candidate‑related inquiries or email [e-mail].