Data Owner Lead

Join us to drive innovation through data modernization and advanced analytics.

As a Data Owner lead within Data Analytics team at JPMorgan Chase, you will play a crucial role in enabling the business to drive faster innovation through data. You will ensure data is clearly documented, of good quality, and well-protected, serving as a subject matter expert to define and classify critical data. Collaborate with technology and business partners to execute data requirements and lead change management from legacy to modernized data.

Job Responsibilities:

• Document data requirements and coordinate with technology and business partners to manage change from legacy to modernized data.
• Model data for efficient querying and use in LLMs, utilizing business data dictionary and metadata.
• Develop data product ideas by understanding analytics needs and create prototypes for productizing datasets.
• Develop proof of concepts for natural language querying and collaborate with stakeholders to rollout capabilities.
• Support the team in building the backlog, grooming initiatives, and creating user stories for data engineering teams.
• Manage direct or matrixed staff to execute data-related tasks.

Required qualifications, capabilities and skills:

• Bachelor's degree required.
• 5+ years of experience in data modeling for relational, NoSQL, and graph databases.
• Expertise in data technologies such as analytics, business intelligence, machine learning, data warehousing, data management & governance, and AWS cloud solutions.
• Experience with natural language processing, machine learning, and deep learning toolkits (like TensorFlow, PyTorch, NumPy, Scikit-Learn).
• Knowledge of open data standards, data taxonomy and vocabularies, and metadata management.
• Ability to balance short-term goals and long-term vision in complex environments.

Preferred qualifications, capabilities and skills:

• Master’s degree preferred.
• Experience in leading data engineering teams.
• Strong communication and collaboration skills.