EY-Parthenon - Strategy and Execution - Growth ...

OverviewEY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Senior DirectorLocation: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, SeattleEY-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.Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Senior 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 opportunityThe EY Growth Platforms Data Scientist Senior Director will play a critical role building and scaling 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.Your Key ResponsibilitiesLead 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 (e.g., 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.).Communicate findings and recommendations to stakeholders through compelling data storytelling and visualizations.Lead the design, development, and deployment of AI and machine learning models and statistical analyses.Translate complex business problems into data science solutions using advanced analytics techniques.QualificationsA bachelor’s degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or related field and 8 years of related work experience; or a graduate degree and approximately 7 years of related work experience.Proven experience in managing and developing high-performing data science and data engineering teams.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’ll also haveExperience 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 ForWe’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 OfferAt 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 you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance. The base salary range for this job in all geographic locations in the US is $250,000 to $290,000. Total Rewards 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. Most client-facing roles are expected to work 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 circumstances, plus designated EY holidays and other leaves to support well-being.Are you ready to shape your future with confidence? Apply today. EY accepts applications on an ongoing basis.For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.EY | Building a better working world. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. 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, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you need assistance applying online or an accommodation during any part of the application process, please call 1-800-EY-HELP3 or email level: Mid-Senior levelEmployment type: Full-timeJob function: OtherIndustries: Business Consulting and Services #J-18808-Ljbffr

Created: 2025-09-17