Data Owner Vice President - Corporate Sector

Data Owner Lead, Vice PresidentJPMorganChase's Chief Data and Analytics Office is accelerating the firm's data and analytics journey—strengthening data quality, integrity, and security while enabling insights that improve decision-making, productivity, and risk management.As a Data Owner Lead, Vice President at JPMorganChase within the Corporate Finance and Treasury and Chief Investment Office Chief Data Office (part of Corporate Finance and Corporate Controllers), you will coordinate across data providers and data consumers to ensure business data is clearly defined, fit for purpose, and well governed. You will drive execution of data strategies, improve end-to-end data quality and controls, and help embed a strong, risk-aware data culture that supports innovation and business outcomes.Job responsibilitiesImplement data strategies and plans that support business operations and strategic objectivesManage project execution, milestones, and delivery timelines while identifying and mitigating risks, bottlenecks, and inefficienciesPartner with stakeholders to define business data meaning, purpose, and appropriate classification using clear metadataDocument requirements for data sourcing, content, and quality, coordinating with technology and business partners to deliver timely and accurate dataDevelop and oversee processes to identify, monitor, and mitigate data risks across the data lifecycle, including protection, retention, storage, use, and qualitySupport analytics and data products by identifying, approving, and governing data integrated into analytics platformsCommunicate, track, and resolve data issues in a timely and consistent manner to maintain data integrity and trustRequired qualifications, capabilities and skillsBachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, or a related field6+ years of experience in data management, data governance, risk management, analytics, or a related fieldDemonstrated leadership experience managing delivery timelines and driving outcomes across multiple stakeholdersStrong knowledge of data governance and data lifecycle management, including data protection, data quality, and data classificationStrong analytical and problem-solving skills, with ability to translate complex data topics into clear business actionsStrong communication skills, including ability to present to both technical and non-technical audiences and senior stakeholdersExperience building effective partnerships and influencing across teams to deliver large-scale data initiativesPreferred qualifications, capabilities and skillsExperience with cloud-based data platforms and technologies (such as Amazon Web Services, Microsoft Azure, or Google Cloud)Familiarity with advanced analytics, machine learning, or artificial intelligence in a business contextWorking knowledge of query or analytical programming languagesExperience leading data-enabled change initiatives that improve business processes and efficiency