Senior Master Data Management Analyst

Company Overview

ID.me is a high-growth enterprise software company that simplifies how people prove and share their identity online.  The company empowers people to control their data through a portable and trusted login, which means they don’t need to create a new password when visiting sites that have the ID.me button.  ID.me’s digital identity network has over 117 million registered members, and is used by fourteen federal agencies, agencies in 30 states and over 600 corporations for secure identity proofing and verification.

ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. In addition to helping people control their credentials and data, the company’s “No Identity Left Behind” initiative strives to expand digital access and inclusion for all people. The company offers multiple pathways to identity verification – online self-serve, live video chat agents, and in person.  ID.me is passionate about building a robust identity network that does not compromise access for traditionally underserved groups.

ID.me has received numerous awards including Deloitte’s 2023 Technology Fast 500, Washington Business Journal’s Fastest Growing Companies, Entrepreneur Magazine’s 100 Brilliant Companies and Wall Street Journal’s Startup of the Year finalist.  In recent quarters, ID.me announced it raised $132 million in Series D funding, led by Viking Global Investors with participation from CapitalG, Morgan Stanley Counterpoint, FTV Capital, PSP Growth, Auctus Investment Group, Moonshots Capital, and Scout Ventures. ID.me’s most recent round brings the total investment in ID.me to over $275 million since its founding in 2010.

Role Overview

ID.me is seeking a Senior Master Data Management (MDM) Analyst 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 MDM, and contribute to the democratization of data through effective data models, metrics definition, and metadata documentation.

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 MDM principles and practices.

Ideal Qualifications

• 7+ years of experience in Data Management 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.

Ideal candidate will thrive in the following culture:

• Passion for building high-quality products and strong attention to detail in data management.
• Ability to adapt to changing priorities and environments.
• Strong oral and written communication skills.
• Team player with a strong, self-managing work ethic.
• Self-st