What are the responsibilities and job description for the Enterprise Knowledge Architect position at Cross River Bank?
About Us
Cross River is a fast-growing financial technology company that is shaping the future of financial services. Our comprehensive suite of innovative and scalable embedded payments, cards, and lending products delivers financial services for millions of businesses and consumers worldwide.
We value our collaborative family culture and strive to create an environment where everyone thrives. If you're passionate about making a difference in the financial services industry, we'd love to hear from you.
The Job
This role involves developing and implementing enterprise ontologies to support Cross River's Data Strategy. As a Data Engineer II - Ontology Lead, you'll work closely with various teams to develop domain ontologies for enterprise initiatives focused on BSA/AML related processes.
Your Key Responsibilities
- Develop Problem Statements: Create clear and actionable problem statements that guide teams towards delivering results, demonstrating expertise in ontologies and optimized data models.
- Drive Alignment: Leverage customer insights to drive alignment between stakeholders in the development of acceptance criteria, ensuring seamless collaboration.
- Lead the Ontology Roadmap: Prioritize and own the near-term Ontology roadmap for the Palantir implementation, driving business outcomes through effective planning.
- Partner with Technology Teams: Collaborate with Technology, Data Science, and other Cross River teams to integrate the ontology into our products and services.
- Deliver Results: Develop reusable, extensible, and resilient capabilities, identifying opportunities for improvement when key metrics aren't meeting expectations.
Requirements
- Bachelor's degree in a relevant field such as information science, computer science, engineering, or library science.
- Proven experience working with ontology and linked data tools (Palantir, Protégé, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World).
- Strong background in metadata management, including ontology, taxonomy, and semantics.
