Join the our Asset & Wealth Management organization and help shape the future of data management at JPMorgan Chase. As a Data Owner Lead, you will drive impactful data strategies and foster a data-driven culture. This role offers opportunities for career growth, skill development, and collaboration with industry-leading experts. Be part of a team that leverages AI and machine learning to support the firm’s commercial goals.

As a Data Owner Lead within the Asset & Wealth Management organization, you will play a crucial role in promoting the design, governance and quality of fees data that powers business operations, strategic objectives, and advanced analytics. Your day will involve collaborating with technology, product owners and business teams to define data requirements, describe data, implement data quality, and address data risks. By leveraging your expertise, you conduct independent analysis to uncover data patterns, develop data insights and inform decisions that enhance decision-making and operational efficiency across the organization. You will develop and maintain metrics, reporting, and analytics dashboards to enable Business and Operations Management. Your contributions will be vital in fostering a data-driven culture that supports the company's growth and innovation.

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
• Partner with technology, product owners, UX and business resources to ensure data sourcing, content, and quality meet established requirements
• Manage and guide direct or matrixed staff in executing data-related tasks and initiative

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
• 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
• Proven ability to build and maintain relationships with key stakeholders and manage large-scale data projects
• Strong analytical and problem-solving skills, with the ability to identify and address data issues and develop data insights.

Excellent communication skills, with the ability to convey data concepts to both technical and non-technical stakeholders

• Advanced with Alteryx and data visualization tools, such as Tableau or Power BI, to effectively communicate data insights
• Advanced with query writing and execution using data analysis tools.

Intermediate Microsoft Office suite experience:

Preferred Qualifications, Capabilities, and Skills

• Bachelor's degree preferred
• 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