We are looking for a leader who is passionate about using data to accelerate product development, drive business growth, and improve the Chase customer experience!
As a Vice President - Fraud Data Owner within the Consumer and Community Banking of JPMorgan Chase, you will be important to the firm’s agenda of enabling the business to drive faster innovation through the use of its data, while simultaneously ensuring that data is of good quality and well-protected - this role is accountable for all data in the data product that is created, provisioned, or consumed to support business objectives, advanced analytics, business operations, and reporting.
The Data Owner serves as a member of the product team, 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.
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
- Influence resources to resolve identified data issues in a timely manner
- 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 and help to 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 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 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 and manage direct or matrixed staff to execute specific data-related tasks
Required qualifications, capabilities, and skills :
- 6+ 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
- Demonstrated ability to manage delivery timelines, and ensure our product and organization is on track to meet our goal
- Aglie project methodology experience and ability to work closely with data engineering scrum teams and proven ability to execute via internal partnerships
- Strong interpersonal and communication skills. Ability to articulate complex technical concepts to senior audience
- Structured thinker with good business acumen and understanding of Agile technological development methodology.
- Bachelor’s degree required
Preferred qualifications, capabilities, and skills :
- Technical knowledge of data management and governance, big data platforms, or data architecture preferred
- Master’s degree preferred.