The Enterprise Data Quality Architect will Coordinate, consolidate, and oversee the mitigation of all data quality issues in the organization.


  • Design, Create, Structure, and Lead the Enterprise Data Quality Function
  • Develop a deep understanding of the Firm's data sources, data maintenance processes, and data models.
  • Consolidate all data quality operations under a single umbrella and service line.
  • Field data quality certification and improvement requests from stakeholders
  • Develop symbiotic relationships with the Firm's data custodians and process owners
  • Define Enterprise Data Quality Standards and Guidelines
  • Create standard Data Quality checklists that can be used to measure data quality gaps and configure data quality measurement tools/technologies
  • Recruit, train, lead, and support Data Quality engineers and champions to help identify, quantify, and report on data quality issues
  • Train, lead, and support a group of Data Guardians to help data custodians mitigate data quality issues at scale using manual processes and tools.
  • Architect, Design, and Maintain Data Quality Dashboards
  • Create a set of data quality certification standards and implement a process to certify various data sets and maintain/improve certification levels
  • Help describe data quality issues in business terms
  • Coordinate with data custodians and process owners to fix data quality issues
  • Report to stakeholders the status and progress related to data quality and mitigation of issues 
  • Ensure common understanding and maintenance of Business Rules surrounding the firm's data.
  • Guide projects and initiatives to interpret and develop business rules and alignment and assurance of data quality targets
  • Evangelize, promote and market to improve utilization of Data Quality Services developed as part of the function.
  • Provide input into developing overall management and governance standards and policies to ensure the accuracy, protection, and quality of data and to promote a data quality discipline throughout the Firm

Skills and Experience:

  • Strong experience in data architecture, data modelling, data warehousing, and database design. Some experience in a leadership role
  • Degree in Computer Science (a degree in Statistics or Mathematics would be highly regarded)
  • Significant knowledge and experience in data warehousing, data mining, and ETL tools. Experience in Cloud technologies like Azure, Microsoft Fabric, and Graph is a plus. Knowledge of programming languages and creating solutions using Python and/or Power Apps is a plus. Knowledge of open-source or proprietary data quality
  • frameworks and products is a plus.
  • Experience in developing complete data models in a manner that is understandable to a non-technical audience
  • Broad and deep understanding of the Firm, how we operate, how we interact with our clients, and our internal business processes

Communication and management skills:

  • Outstanding communication and presentation skills able to engage with stakeholders at all levels
  • Experience in supervising and mentoring a team of architects and engineers
  • Capable of working independently and in a geographically and culturally diverse team 
  • A critical, analytical, exception-finding, hacker mindset
  • Process-oriented, structured, operation-building focus