Data Modeling Strategist

1 day ago


Cambridge, Massachusetts, United States Capital One Full time

Job Summary

We are seeking a seasoned Data Modeling Strategist to lead our Commercial Banking team in developing and implementing data models that drive business growth and customer satisfaction.

About Us

Capital One is a leading financial institution committed to delivering exceptional customer experiences through innovative products and services. Our talented team of professionals works collaboratively to drive business success and make a positive impact on the communities we serve.

Salary and Benefits

The salary for this role is estimated to be between $163,300 and $186,400 per year, depending on location. In addition to a competitive salary, Capital One offers a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) matching, and paid time off.

Key Responsibilities

  • Develop and implement data models that support commercial banking initiatives and drive business growth.
  • Collaborate with cross-functional teams to design and deploy data models that meet business requirements.
  • Lead data modeling efforts to ensure consistency, accuracy, and quality.
  • Provide data modeling expertise to stakeholders and influence business decisions.
  • Analyze and interpret data to inform business strategies and optimize operations.
  • Stay up-to-date with industry trends and emerging technologies to recommend improvements to data modeling practices.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • At least 4 years of experience in data modeling, with a focus on commercial banking or finance.
  • Proficiency in data modeling tools and technologies, including SQL, SPARQL, and graph databases.
  • Strong analytical and problem-solving skills, with attention to detail and ability to communicate complex ideas effectively.
  • Experience working in Agile development environments and collaborating with cross-functional teams.

PREFERRED QUALIFICATIONS

  • Master's degree in Computer Science, Information Technology, or related field.
  • 5+ years of experience in data modeling, with a focus on commercial banking or finance.
  • Experience working with W3C standards, including RDF, RDFS, OWL, and SKOS.
  • Knowledge of graph databases and technologies, such as Neo4j and Amazon Neptune.
  • Familiarity with Python programming language and experience with machine learning algorithms.

Work Environment

This role is based in New York City and requires regular collaboration with colleagues and stakeholders across the organization. The ideal candidate will have excellent communication and interpersonal skills, with the ability to work effectively in a fast-paced environment.



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