Data Owner Lead-Vice President

JPMorgan Chase & Co.
Wilmington, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Wilmington, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Information Engineering
Data Systems
Data Warehousing
Digital Data
Document-Oriented Databases
Graph Database
Machine Learning
Meta-Data Management
Natural Language Processing
NoSQL
NumPy
Open Data Protocol
Scrum
TensorFlow
PyTorch
Large Language Models
Pandas
Data Lake
Scikit Learn
Data Management
Data Generation

Job description

Be a key driver of innovation, collaborating across business and technology to shape data strategies that power smarter decisions, operational excellence, and a thriving data-driven culture!

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., * 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

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

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs., Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction. The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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