We have an exciting opportunity for you to enhance your career in Credit Card Analytics, contributing to innovative banking solutions.

As a Senior Associate Data Owner at JPMorgan Chase within the Data and Analytics team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You will be responsible for all data in the respective Card product that is created, provisioned, or consumed to support business objectives, advanced analytics, business operations, and reporting. The Data Owner also partners with their aligned Data & Analytics lead to drive increased business value through the identification of data required to support analytics outcomes. Data Owners serve as subject matter experts, coordinating between providers and consumers to ensure business data is understood, fit for purpose, and integrated into analytics platforms. In support of these functions, the Data Owners will also be accountable for identifying and mitigating data risks throughout the data life cycle in compliance with Firmwide policies and standards.

Job Responsibilities

• Create plans for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting.

• Work with key partners to drive an understanding of the data and its use within the business. Provide subject matter expertise with respect to the content and use of data in the product and associated business area.

• Identify the scope of critical data within their product, ensuring that the prioritized data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control

• Support the aligned Data & Analytics lead for their product by identifying data required to be integrated into analytics platforms to support analytics projects.

• Document requirements for the accuracy, completeness, and timeliness of data within the product, and coordinate resources to deliver data quality requirements

• Develop processes and procedures to identify, monitor, and mitigate data risks for data in the product, including risks related to data protection, data retention and destruction, data storage, data use, and data quality

• Manage the execution of tasks to comply with Firmwide policies, standards, and procedures related to the integrity and protection of data in the product

• Develop strong relationships with product data delivery partners and data consumers, including leaders in the Business, Technology, Analytics, Operations, Risk and Control functions

• Manage the execution of a set of milestones. Understand and mitigate risks, bottlenecks, and inefficiencies in the product development lifecycle with respect to data.

• Track and manage workstreams and associated KPIs to ensure deliveries are successful

• Manage direct or matrixed staff to execute specific data-related tasks

Required Qualifications, Capabilities, and Skills

• Master's degree in technology and Business Administration with 8+ years of industry experience in a data-related field.

• Experience managing delivery across multiple workstreams with varying timelines

• Subject matter expertise in business or product data or processes, Credit Card domain knowledge

• Technical knowledge of data management, data engineering, data pipelines, data modeling, data architecture and governance.

• Knowledge of cloud platforms like AWS, Google or Azure, and/or experience with big data technologies like Hadoop, Spark, Alteryx, Snowflake

• Demonstrated ability to manage delivery timelines, and ensure our product and organization is on track to meet our goals

• Proven ability to execute via internal partnerships

• Structured thinker with good business acumen and effective communicator with excellent written communication skills. Ability to crisply articulate complex technical concepts to senior audiences with poise and confidence.

• Understanding of Agile technological development methodology.