Data Governance Lead

$180,000 - $199,068/Yr

Id.Me - Mountain View, CA

posted 5 months ago

Full-time
Mountain View, CA
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services

About the position

ID.me is seeking a Data Governance Lead to provide technical leadership in our master data management capabilities. As a data-driven organization, we are continually striving to enhance our capabilities and member experience through insightful data governance and management. In this role, you will partner with business leaders to define and uphold data quality, develop data architecture tailored to data governance, and contribute to the democratization of data through effective data models, metrics definition, and metadata documentation. You will lead the management and governance of master data across various domains, utilizing platforms like Snowflake, dbt, Tableau, Looker, and GCP services. Educating the organization on best practices in data governance and MDM strategies will be a key part of your responsibilities, driving informed business decisions. You will research, design, and implement best practices in managing master data platforms and ensuring data quality. Collaboration with data analysts, engineers, and scientists will be essential to build a robust data infrastructure that supports reusable data management, analytics, dashboards, and models in an MDM context. Additionally, you will drive transformational efforts to establish a data-driven culture at ID.me by enabling data self-service and high-quality master data systems. Providing technical guidance, mentorship, coaching, and training to data analysts and other team members on data governance principles and practices will also be part of your role. This position requires a passion for building high-quality products and a strong attention to detail in data management, as well as the ability to adapt to changing priorities and environments.

Responsibilities

  • Lead the management and governance of master data across various domains, utilizing platforms like Snowflake, dbt, Tableau, Looker, and GCP services.
  • Educate the organization on best practices in data governance and MDM strategies to drive informed business decisions.
  • Research, design, and implement best practices in managing master data platforms and ensuring data quality.
  • Collaborate with data analysts, engineers, and scientists to build a robust data infrastructure that supports reusable data management, analytics, dashboards, and models in an MDM context.
  • Drive transformational efforts to establish a data-driven culture at ID.me by enabling data self-service and high-quality master data systems.
  • Provide technical guidance, mentorship, coaching, and training to data analysts and other team members on data governance principles and practices.

Requirements

  • 7+ years of experience in Data Governance with a strong emphasis on Master Data Management and SQL.
  • 7+ years of experience with data warehousing technologies (Snowflake, BigQuery, Redshift), with a focus on master data structures.
  • 2+ years of experience with MDM tools, dbt, Python, and Git.
  • 3+ years of experience in data modeling, particularly in a master data context.
  • Knowledge of data privacy laws and compliance regulations.
  • Familiarity with data architecture, design, and CI/CD frameworks.
  • Experience with visualization/reporting tools like Tableau, Looker, Power BI, with an understanding of how they integrate with MDM strategies.
  • Bachelor's degree in Information Technology, Computer Science, Data Science, or related field.
  • A Master's degree is preferred.
  • Experience in ingesting, processing, and visualizing various data types - structured/relational and unstructured, in an MDM environment.
  • Ability to work independently and autonomously, as well as part of a team.
  • Superb time management, prioritization of tasks, and ability to meet deadlines with little supervision.

Nice-to-haves

  • Strong oral and written communication skills.
  • Team player with a strong, self-managing work ethic.
  • Self-starter with a passion for master data management, software engineering, learning, and continuous improvement.
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