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Wholesale Credit Risk Management - Data Owner - Vice President
senior · Data Science & Analytics
Bring your expertise to JPMorganChase. 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 a Data Owner Lead in Wholesale Credit Risk Management team, you will play a pivotal role in executing data strategies that promote business operations and strategic objectives. You will serve as a subject matter experts, coordinating between providers and consumers to ensure business data is understood, fit for purpose, and well governed. You will collaborate with cross-functional teams to identify and prioritize data needs, ensuring data quality, protection, integration, and utilization across the organization. By leading efforts to mitigate data risks and enhance data quality, you will ensure data serves as a trusted asset for decision-making and innovation. Your leadership will foster a data-driven culture that supports organizational growth and competitive advantage.
Job Responsibilities:
- Implement strategic plans to deliver data solutions that effectively support business operations, strategic objectives, advanced analytics, metrics and reporting to align with organizational goals
- Collaborate with product owners, business process owners, and analytics leads to identify, define, and prioritize critical data needs, ensuring effective governance, integration and utilization across the business
- Collaborate with quantitative research partners to ensure that critical data is well-documented as to its meaning and purpose, and classified accordingly with metadata (data definitions, business glossary, lineage etc.) to enable its understanding and control
- Document comprehensive requirements for data sourcing, content and quality, and coordinate with technology and business partners to ensure timely, complete, and accurate data
- Define execution strategy to implement data mesh concepts, including following data publishing standards, ensuring governance, and making data products discoverable and interoperable across the organization.
- Develop and oversee processes to identify, monitor, and mitigate data risks throughout the forecasting data lifecycle, addressing issues related to data protection, data retention and destruction, data storage, data use, and data quality
- Manage the execution of projects and related milestones, understand and mitigate risks, bottlenecks, and inefficiencies throughout the project / initiative
- Support data analytics and products by identifying and governing data required to be integrated into analytics platforms to support analytics projects
Communicate and ensure resolution of data issues in a timely and consistent manner, maintaining data integrity and consumer trust
Required Qualifications, Capabilities and Skills:
- Bachelor’s degree in data science, Computer Science, Information Systems, Data Analytics, or a related field, OR equivalent professional experience in data management, data governance, or a related field
- 7 years plus of experience in data management, data governance, risk management/analytics, or a related field
- In-depth understanding of data management principles, governance frameworks, and data lifecycle management, including data protection, data quality and data classification
- Excellent analytical and problem-solving skills, translating complex data concepts into business strategies
- Proven ability to perform data manipulation, data structuring, data design flow and query optimization using programming language including SQL and Python
- Experience with public cloud-based data platforms and technologies, such as AWS, Azure, or Google Cloud
- Familiarity with advanced analytics, machine learning, or artificial intelligence applications in a business context to develop new products, improve productivity, and enhance risk management
- Experience in leading digital transformation initiatives that leverage data to drive business innovation and efficiency
Preferred Qualifications, Capabilities and Skills:
- Strong communication skills, effectively conveying data concepts to technical and non-technical stakeholders, as well as senior audiences
- Strong leadership skills with experience in managing and mentoring cross-functional teams
- Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals
- Proven ability to build and maintain relationships with key stakeholders and manage large-scale data projects