Information Architecture within Corporate Financial Analysis (FA) is working to build scalable, end-to-end data products that enable centralized, self-service data sourcing through an array of consumption patterns optimized for Planning and Analysis (P&A) functions.

As a Data Domain Modeler in Transformation & Innovation team you will lead the design 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. Being part of an influential and data-centric team focused on data accessibility you will work on designing new data models for domains such as headcount, contractors, financials, forecasting models, markets, and macro-economic scenarios. You will also represent the data domains in the overall information architecture strategy to optimize data models for end user consumption, identify data homogenization opportunities, and optimize data pipelines in our data lake-house.

You will lead the engagement and partner with product owners, business users (both technical and non-technical), data providers, and technology teams across the entire finance function to design and deliver data products.

Job responsibilities

Work on some of the most complex and highly visible data problems in finance, at the intersection of finance and technologyDesign and build new cloud based data lakehouse for the P&A community, leveraged by Analysts to CFO for their day to day reportingWork on wide range of data sets and use case to support different Planning & Analysis processes, and personally lead and drive the design of themCreate solutions for key data challenges and implements innovative technology-based solutions at the bank such as enterprise data catalog, and AI-enabled conversational analyticsPartner with other high-performing teams within JPM to inspire innovation and champion change throughout the bank 

 

Required qualifications, capabilities, and skills

Strong analytical and problem solving skills with attention to details to formulate effective data models to address users consumption pain points, and to lead their deliveryCurious mind to dig deep into the business and data to understand the context: Inquisitive and analytical mindset, challenges the status quo, and strive for excellence5+ years of relevant experience designing and implementing data models and analytic solutions using dimensional and relational data modelsHands-on and flexible approach to creating solutions aligned to the tools and skills of the client user. Strong communication skills to present data products and educate data consumersStrong knowledge and experience using SQL & Python for data analysis, data engineering, and transformation to answer business questions Experience with ETL / ELT process and architecture to move data across pipelines in a lakeExperience building analytics dashboard or building models suited for interactive dashboard consumptionExperience with cloud-based data lake platforms such as AWS, Azure or Google CloudBachelor’s degree in computer science, data science, information systems, business analytics, or related discipline

 

Preferred qualifications, capabilities, and skills

Experience with Databricks and Pyspark