enterprise data quality ArchitectBaker McKenzie

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

Philippines
Permanent
Full-time