Senior Data Scientist Lead & VP, Analytics & Data Pipelines

JPMorgan Chase; Chicago (IL); On-site; USD 128,000 - 200,000; Full time

Job summary

JPMorgan Chase is seeking a Data Scientist Lead, Vice President in Chicago to design and evolve scalable data pipelines and trusted data products supporting hypothesis-driven analytics across the PDLC. You will work hands-on as needed, raise engineering standards, and improve observability, reliability, and cost/performance.

You will mentor a small team, partner with analytics, product, and engineering stakeholders, and help establish best practices for data-driven decision making at scale.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years delivering production data solutions in a fast-paced engineering environment.
• Strong software engineering fundamentals and end-to-end development lifecycle.
• Deep understanding of data modeling (dimensional, normalized, event-based).
• Hands-on experience with Databricks and large-scale distributed data processing (Spark/PySpark).
• Strong SQL skills and experience with dbt for data transformation.
• Experience designing/or operating orchestration pipelines using Airflow, including backfills and monitoring.
• Proven ability to lead delivery in complex environments with multiple stakeholders.

Responsibilities

• Design, build, and operate scalable data pipelines with clear SLAs and monitoring.
• Develop and curate trusted data products with clear ownership.
• Create and maintain metrics and datasets to measure AI adoption and productivity.
• Drive data quality, governance, lineage, and access controls.
• Develop and operate workflow orchestration to schedule and transform data.
• Model and transform data using SQL/dbt to support trusted reporting.
• Write production-grade Python/PySpark with testing and performance tuning.
• Collaborate with analytics, product, and engineering stakeholders to define requirements.
• Establish and enforce engineering best practices and cost/performance improvements.
• Mentor a team of 2 and influence technical direction.

Skills

Data pipelines

SQL

Python

PySpark

Measurement & metrics

Leadership

Problem solving

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Databricks

Apache Airflow

dbt

Spark/PySpark

Job description

JPMorgan Chase is seeking a Data Scientist Lead, Vice President in Chicago to design and evolve scalable data pipelines and trusted data products supporting hypothesis-driven analytics across the PDLC. You will work hands-on as needed, raise engineering standards, and improve observability, reliability, and cost/performance.

You will mentor a small team, partner with analytics, product, and engineering stakeholders, and help establish best practices for data-driven decision making at scale.