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:

• Bachelor’s 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

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.