> Markdown version of [/jobs/ext/3049046-card-data-and-analytics-data-owner-lead](https://www.wearedevelopers.com/jobs/ext/3049046-card-data-and-analytics-data-owner-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Card Data and Analytics - Data Owner Lead - **Company:** JPMorgan Chase & Co. - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data Architecture, Information Engineering, Data Retention, Apache Hadoop, Data Storage Technologies, Snowflake, Apache Spark, Data Analytics, Data Management, Data Pipelines, Alteryx - **Published:** September 24, 2026 - **Apply:** https://www.jobmonkeyjobs.com/career/28047194/Card-Data-Analytics-Data-Owner-Lead-Texas-Plano-7463 ## About the Role * 6+ years of industry experience in a data-related field; Bachelor's degree required * Experience managing delivery across multiple workstreams with varying timelines. * Subject matter expertise in business or product data or processes and 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 and 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., * Master's degree preferred * Credit Card domain knowledge is a plus * Experience building and deploying data products is preferred ## Description Join a team that is passionate about using data to accelerate product development, drive business growth, and improve the Chase customer experience. As a Data Owner Lead, within the Card Data and Analytics Team, you will be accountable for all data in the respective Card product that is created, provisioned, or consumed to support business objectives, advanced analytics, business operations, and reporting and serve as a member of the QUAD, providing thought leadership, collaborating with the Product Owner, design lead, and technology lead to ensure that the product delivers data in a manner consistent with the quality and safety requirements of the business., * Create plans for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting and 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 and document requirements for the accuracy, completeness, and timeliness of data within the product, and coordinate resources to deliver data quality requirements. * Partner with business & analytics stakeholders to define requirements for new data products and collaborate with data engineering teams to deploy production-ready solutions and 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 and develop strong relationships with product data delivery partners and data consumers, including leaders in the Business, Technology, Analytics, Operations, Risk and Control functions and manage the execution of a set of milestones and 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)