Data Steward
Posted on 3/22/2024
Kin Insurance

501-1,000 employees

Personalized home insurance solutions
Company Overview
Kin’s mission is to reimagine home insurance For Every New Normal. The company has proprietary technology and a direct-to-consumer model, Kin provides affordable pricing without compromising coverage, even in areas most impacted by climate change.
Fintech

Company Stage

Series D

Total Funding

$496.3M

Founded

2016

Headquarters

Chicago, Illinois

Growth & Insights
Headcount

6 month growth

13%

1 year growth

26%

2 year growth

54%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
CategoriesNew
Data Engineering
Data Management
Data Analysis
Data & Analytics
Requirements
  • 2+ years of experience with lakehouse architecture and federated governance protocols.
  • Experience with data management tools and platforms such as Atlan, Hex, Unity Catalog.
  • 5+ years of experience in data governance, metadata extraction, data quality management, or metadata management roles.
  • Strong understanding of data governance frameworks, principles, and best practices.
  • Previous experience with data privacy regulations such as GDPR, CCPA, and GLBA.
  • Excellent communication and collaboration skills to engage with stakeholders across different levels of the organization.
Responsibilities
  • Leading a governance committee with members from the entire organization tasked with designing best practices, implementing policies, standards, and procedures to ensure effective data lifecycle and management practices.
  • Establishing trust and relationships with stakeholders while defining data governance requirements, ensuring alignment with business goals.
  • Creating data quality standards and metrics to monitor the accuracy, completeness, and consistency of data.
  • Developing and maintaining a centralized metadata catalog to document data assets, schemas and lineage.
  • Defining data access policies and classifying assets based on sensitivity, confidentiality, and regulatory requirements in order to ensure compliance with privacy regulations such as GDPR, CCPA, and GLBA.
  • Implementing data security, encryption, and access controls to protect sensitive data from unauthorized access or disclosure.
  • Monitor data access logs and audit trails to detect unauthorized access or usage of data.