Data Owner Lead-Vice President

JPMorgan Chase & Co.•Wilmington, DE

9d•$118,750 - $205,000

About The Position

As a Data Owner Lead on the Digital Data Owner Team, you will help the firm’s agenda of enabling the business to drive faster innovation through the use of its data by ensuring that data is clearly documented, of good quality and well-protected. You’ll be responsible for all customer application and account opening data that is created, published to the data lake, or consumed for advanced analytics or AI/ML use cases. You will serve as a subject matter expert to help define and classify data critical to their product, lead change management from legacy to modernized data, and collaborate with technology and business partners to execute on data requirements. Additionally, you’ll identify, monitor, and mitigate data risks throughout the data life cycle, and simplify the work involved in getting data generation to conversion to dashboards, models, and natural language queries.

Requirements

Bachelor's degree in a applicable STEM field
5+ years working experience data modeling for relational, NoSQL, and graph databases
Ability to generates advanced data models using firmwide tooling and designing for high performance querying/reporting
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, Pandas)
Open data standards, data taxonomy and vocabularies, metadata management
Able to balance short-term goals and long-term vision in highly complex environments

Responsibilities

Document data requirements for your product, coordinate with technology to get the data created, and business partners to manage change from legacy data to modernized data
Model the data with long term vision to enable efficient querying, natural language querying, and use in LLMs; utilize business data dictionary and business metadata from tech and product teams in describing the data in simple understandable terms
Develop ideas for data products by understanding analytics needs and pain points; create prototypes that analytics and data engineering teams can use as requirements in productizing the datasets
Develop proof of concepts for natural language querying of the data, and collaborate with analytics, data science, and other stakeholders to rollout the capability to business users
Support the team in building the backlog, grooming initiatives, and creating user stories to lead data engineering scrum teams to publish new data and create data products
Manage direct or matrixed staff to execute data-related tasks