Columbus, OH, United States
20 hours ago
Risk Management - Area Product Owner - Vice President

Bring your expertise to JPMorgan Chase.  As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class.

As an Area Product Owner - Vice President in the Risk Architecture Data Analytics and Technology group, you will be responsible for analysis related to various Data Services and Cloud Strategy agenda initiatives within the Risk Data Pond Production support teams. This role requires providing high level analytic support for complex projects that require sophisticated data analytics on large datasets and moving our data warehouse from on prem to Cloud. This is an exciting opportunity to work on high impact strategy initiatives as they become the key focus of the firm and across the financial services industry. You will excel at creative thinking and problem solving; be self-motivated, confident and ready to work in a fast-paced, energetic environment.

Job Responsibilities 

Provide support for Risk data pond SRE teams as an Area product owner including leadership, Backlog management, and run resolution for high risk productions tickets Provide support for product and tech teams to move ICDW to Snowflake. Provide analytic support and timely reporting for the successful implementation of various exit of On prem systems to cloud. Ensure compliance with existing risk and control structure while driving future enhancements to risk and control structure.  Provides accurate and concise results and presents findings, recommendations and presentations to Management. Collaborate across cross functional teams to knowledge share and develop broader insights into fraud and customer impacts  Will be expected to work independently and multitask on several projects and processes  Ensure robust business controls exist and are executed against on a consistent basis  Partner closely with Operations, IT, Risk Product owners, CCB Data Analytics, to ensure that all priorities are aligned.  Communicate across lines of business and all key stakeholder groups. Participate in developing and implementing best practices across the broader team including stakeholders like Risk products, Control, technology

Required qualifications, capabilities, and skills

Master’s/Bachelor’s degree in a computer science / engineering / MIS or business discipline from an accredited college/university required 5+ years of experience in Data analytics and Product Management 5+ Experience in Agile technology, Scrum ceremonies, backlog management, Jira, Jira Align, and Confluence 5+ Experience in Data migration from on prem to Cloud, including Snowflake, AWS Understand Data Mapping for Existing Platform Functions including Datasets, models and engines Highly proficient in Microsoft Office suite of products including Power points, and Excel Proven ability to evaluate the business climate, anticipate change and develop compensating strategies/vision.  Demonstrated leadership in applying analytics to efficiently and pragmatically solve business problems through structured problem-solving approaches.  Strong analytical, and technical skills. Ability to synthesize / analyze diverse information, develops recommendations, and makes decisions.  Project Management Skills -- well-organized, structured approach. Ability to achieve tight timelines on complex deliverables. Ability to manage and prioritize projects across cross-functional groups.  Strong communication and interpersonal skills, ability to interact with individuals across departments / functions and with senior-level individuals. 

Preferred qualifications, capabilities, and skills

AWS Certificates. Extensive experience in data analysis using Excel
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