Consumer Community Banking line of business needs to advance 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, great quality, and well-protected.
Requirements
- 5+ years working experience data modeling for relational, NoSQL, and graph databases
- 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 (Snowflake, Data Bricks, or Redshift), 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
- Building Agentic, Python, or bot automations
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 teams, 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
- Generates advanced data models using firmwide tooling and designing for high performance querying/reporting
- Manage direct or matrixed staff to execute data-related tasks
Other
- Bachelor's degree required
- Master's degree
- Credit card data domain expertise
