If you're passionate about driving data strategies and empowering business success, become a Data Owner Lead and shape the future of data governance and innovation. 

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

This role specifically supports the Corporate Finance and Treasury & Chief Investment Office (T/CIO) Chief Data Office which sits within the Corporate Finance / Corporate Controllers organization. 

As a Data Owner Lead, Vice President, you will play a pivotal role in executing data strategies that drive business operations and strategic objectives. Data Owners serve as 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 and strategic objectives, to align with organizational goals  Manage the execution of projects and related milestones, understand and mitigate risks, bottlenecks, and inefficiencies throughout the project/initiative Collaborate with key partners to ensure that critical data is well-documented as to its meaning and purpose, and classified accordingly with metadata 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 Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle, addressing issues related to data protection, retention, storage, use, and quality Support data analytics and products by identifying and governing data required to be integrated into analytics platforms to support analytics projects Communicate and resolve 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 6+ years of experience in data management, data governance, risk management/analytics, or a related field Proven leadership track record, demonstrated ability to manage delivery timelines, and ensure the organization is on track to meet goals In-depth understanding of data management principles, governance frameworks, and lifecycle management, including data protection, data quality and data classification Excellent analytical and problem-solving skills, translating complex data concepts into business strategies 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 and proven ability to build and maintain relationships with key stakeholders and manage large-scale data projects

Preferred qualifications, capabilities and skills:

Experience with 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 Knowledge of query or analytical programming languages Experience in leading digital transformation initiatives that leverage data to drive business innovation and efficiency