Description Drive the development of a centralized communications database, enabling impactful data-driven insights and visualizations. Join us to shape how communications data is aggregated, modeled, and visualized across the firm. You will have the opportunity to collaborate with technology teams and external partners, designing scalable solutions that empower decision-making. Your expertise will help us deliver advanced BI and AI-driven insights, supporting communications teams firmwide. At JPMorgan Chase, you can grow your career while making a meaningful impact. We value innovation, collaboration, and your unique perspective. As a Data Engineer in the Communications Data Solutions team, you will lead the creation of a centralized database for communications data. You will partner with internal teams and external agencies to design robust data models and build scalable data pipelines. Your work will enable actionable insights through advanced BI and AI-driven visualizations. You will play a key role in supporting communications teams across the firm, fostering collaboration and driving process improvements. Your contributions will help us optimize infrastructure and deliver tailored solutions. You will lead the development of a centralized Communications database. You will be instrumental in aggregating, modeling, and visualizing data from both internal and external communications channels, including third-party agencies and tools. You’ll partner with technology teams and external agencies to design robust data models, build scalable data pipelines, and deliver actionable insights through advanced BI and AI-driven visualizations. This role supports communications teams across the firm, including Consumer & Community Banking Communications, US regional Communications, Commercial & Investment Bank Communications, Firmwide Impact and more. Job Responsibilities: Designs and implements relational data models for communications data aggregation and analysis Builds and optimizes data pipelines to ingest, transform, and centralize data from diverse sources Develops and manages advanced BI solutions to visualize communications impact and outcomes Collaborates with data scientists to deploy machine learning models and AI solutions Partners with communications teams and external agencies to understand data needs and deliver solutions Identifies and implement process improvements and automate manual workflows Redesigns infrastructure for scalability and performance Documents data models, metadata, and machine learning processes for transparency and compliance Required Qualifications, Capabilities, and Skills: Proven experience in data engineering, data modeling, and database architecture. Hands-on expertise in BI platforms and tools (e.g., Tableau, ThoughtSpot) for advanced analytics and data visualization. Proficiency in Alteryx, SQL, and Python for data integration, transformation, and analysis. Experience with cloud platforms (Databricks, AWS, Azure) and deploying/managing machine learning models in production. Strong understanding of MLOps and building automated pipelines for model deployment and monitoring. Demonstrated ability to collect, refine, and transform data from diverse sources, including third-party tools and external agencies. Excellent analytical, problem-solving, and communication skills. Experience working with cross-functional teams in a dynamic, fast-paced environment. Mastery of SQL, including designing and optimizing complex queries and database structures.