Financial Analysis Data Domain Modeler Vice President

As a Data Domain Modeler professional in the Corporate Sector, you will play a crucial role in defining, refining, and delivering set goals for the firm. You will be responsible for designing and implementing end-to-end data models, making data more accessible and understandable for various personas including finance users, data analysts, automation, quantitative research, and machine learning teams. Your work will involve designing new data models for domains such as headcount, contractors, financials, forecasting models, markets, and macro-economic scenarios. Additionally, you will contribute to the overall information architecture strategy to optimize data models for end-user consumption, identify data homogenization opportunities, and optimize data pipelines in the data lake-house. Key Responsibilities: - 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 models. - Work on complex and highly visible data problems in finance, at the intersection of finance and technology. - Contribute to the build of the new cloud-based data lakehouse for the P&A community, leveraged by Analysts to CFO for their day-to-day reporting. - Handle a wide range of data sets and use cases to support different Planning & Analysis processes. - Address key data challenges and implement innovative technology-based solutions at the bank, such as enterprise data catalog and AI-enabled conversational analytics. - Partner with other high-performing teams within JPM to inspire innovation and champion change throughout the bank. Qualifications Required: - Strong analytical and problem-solving skills with attention to details to formulate effective data models that address users' consumption pain points. - Curious mindset to deeply understand the business and data context, challenging the status quo and striving for excellence. - Bachelors degree in computer science, data science, business analytics, or related discipline with 8 years of relevant experience in designing and/or implementing data models and analytic solutions using dimensional and relational data models. - Hands-on and flexible approach to creating solutions aligned with the tools and skills of the client user. - Experience using programming languages (SQL/Python) for data analysis and transformation to answer business questions. Exposure to building analytics dashboards or models suited for dashboard consumption. - Exposure to ETL/ELT processes and how data moves across pipelines within databases. Preferred Qualifications: - Experience with cloud-based data lake platforms such as AWS, Azure, or Google Cloud. - Experience with Databricks is a plus. As a Data Domain Modeler professional in the Corporate Sector, you will play a crucial role in defining, refining, and delivering set goals for the firm. You will be responsible for designing and implementing end-to-end data models, making data more accessible and understandable for various personas including finance users, data analysts, automation, quantitative research, and machine learning teams. Your work will involve designing new data models for domains such as headcount, contractors, financials, forecasting models, markets, and macro-economic scenarios. Additionally, you will contribute to the overall information architecture strategy to optimize data models for end-user consumption, identify data homogenization opportunities, and optimize data pipelines in the data lake-house. Key Responsibilities: - 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 models. - Work on complex and highly visible data problems in finance, at the intersection of finance and technology. - Contribute to the build of the new cloud-based data lakehouse for the P&A community, leveraged by Analysts to CFO for their day-to-day reporting. - Handle a wide range of data sets and use cases to support different Planning & Analysis processes. - Address key data challenges and implement innovative technology-based solutions at the bank, such as enterprise data catalog and AI-enabled conversational analytics. - Partner with other high-performing teams within JPM to inspire innovation and champion change throughout the bank. Qualifications Required: - Strong analytical and problem-solving skills with attention to details to formulate effective data models that address users' consumption pain points. - Curious mindset to deeply understand the business and data context, challenging the status quo and striving for excellence. - Bachelors degree in computer science, data science, business analytics, or related discipline with 8 years of relevant experience in designing and/or implementing data models and analytic solutions using dimensional and relational data models. - Hands-on and