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11,769 jobs found
08.02.2025
JPM
JPMorgan HR Data & Analytics Office Control Manger United States, Ohio, Columbus
Provide subject matter expertise in relation to data risks related to governance, use, protection, classification retention and destruction of data. This includes knowledge of the internal policies and procedures that...
Act as a bridge between the Chief Data Office and Technology teams. Design and promote the adoption of tooling to support the Markets Data Strategy. Develop proof-of-concept prototypes for cross-LOB...
Understand the Credit business and translate requirements into technical data specs and models. Collaborate with engineering and data architecture teams to implement solutions. Liaise with reporting teams to build impactful...
Provide strategic thought leadership on developing and delivering data solutions that support business operations, strategic objectives, and advanced analytics. Collaborate with product owners, business process owners, and analytics leads to...
Delivers data pipeline and architecture solutions that can be leveraged across multiple businesses that are easily augmented, exchanged, rotated, etc. Proficient in all aspects of the data production pipeline are...
Applies technical expertise to multiple large scope strategic projects with enterprise-wide impact (e.g., infrastructure technology, architecture design, and performance monitoring) to influence, manage and implement strategic technology platforms. Collaborates to...
Design and implement a data mesh architecture that decentralizes data ownership and management across domain teams. Develop and maintain data architecture standards, including data product interfaces, data contracts, and governance...
Provide subject matter expertise in relation to data risks related to governance, use, protection, classification retention and destruction of data. This includes knowledge of the internal policies and procedures that...
Data Scientists are responsible for analyzing and interpreting large and complex datasets to uncover insights that inform business decisions and drive innovation. They use a combination of statistical and machine learning techniques, as well as programming languages such as Python and R, to extract, clean, and transform data. They also use tools such as SQL, Hadoop and Spark to work with large datasets and perform data analysis.
Data Scientists work closely with cross-functional teams, such as product managers, marketing and operations, to understand their specific data needs and provide them with insights to make informed decisions. They also collaborate with data engineers to build and maintain the infrastructure necessary for data analysis. They also use data visualization tools such as Tableau and Power BI to create interactive dashboards and reports to communicate data insights clearly and effectively to non-technical stakeholders.