Transformation and Innovation Team Data Domain Modeling Associate

As a Data Domain Modeler within the Transformation & Innovation team you will play a key role in designing and implementation of end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for different persona ranging from finance users data analysts automation quantitative research and machine learning teams.

Job Responsibilities:

• Design develop test and refine data models and analytic prototypes and work with a variety of data sets and use cases to support different Planning & Analysis processes collaborating with senior team members on solution design

• Contribute to solve complex and high visibility data challenges in finance working at the intersection of finance and technology

• Support the design and development of new cloud base data lakehouse for the P&A community leverage by Analyst through to the CFO for daily reporting

• Guide and support data consumers about how to leverage the data products for analytics planning and calculations

• Leverage and review AI-assisted coding tools (e.g. Copilot Claude) to accelerate data design development SQL optimization and prototype iteration

• Identify opportunism to embed AI into recurring P&A workflows by defining data contracts and interfaces that is needed to work effectively

• Collaborate with other high-performing teams within JPM to inspire innovation and champion change throughout the bank

Required qualifications capabilities and skills:

• Bachelors degree in computer science data science information systems business analytics or related discipline; 3 years of relevant experience in developing testing and refining data models and analytic prototypes using dimensional and relational data models

• Strong analytical and problem solving skills with attention to details; hands on in building and prototyping data model to address user needs and support their delivery

• Demonstrate experience using SQL and Python for data analysis engineering and transformation ; comfortable writing queries and scripts to build data pipelines uncover business insights and support model development

• Curious and inquisitive mind to dig deep into the business and data to understand the context: open to challenge the status quo and striving for continuous improvement

• Familiar with prompt engineering principles and the ability to effectively use LLM-based tools to accelerate development task such as writing SQL generating documentation or exploring data.

• Hands on approach to creating solutions aligned to the tools and skills of the client user and experience with ETL / ELT process and architecture to move data across pipelines in a lake

• Experience building models suited for interactive dashboard or cube consumption and familiarity with cloud-based data lake platforms such as AWS Azure or Google Cloud

Preferred qualifications capabilities and skills:

• Experience with Databricks including notebook-based development

• Experience working with headcount workforce or HR data domains