Enterprise Data Quality Architect

Location: Belfast

Workplace: Hybrid

The Opportunity:

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

Working at Baker McKenzie:

Baker McKenzie is the world’s leading law firm with offices all over the world. Our Belfast Centre is home to over 400 teammates in both legal and professional services such as finance, IT, marketing, and business support.

We offer one of the best workplace benefits packages in the business with comprehensive private health cover, income protection, life assurance and a full employee assistance plan. These and a host of other benefits make us one of the most desirable companies to work for in Belfast.

We are committed to promoting inclusion, diversity, and equity for all and are confident we can provide a career as individual and as exceptional as you.

About the role:

As part of this role, the successful candidate will:

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.

Essential Criteria:

To be successful in this role you will need:

Skills and Experience:

• Degree in Computer Science (a degree in Statistics or Mathematics would be highly regarded)
• Strong experience in data architecture, data modelling, data warehousing, and database design. Some experience in a leadership role
• 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 skills:

• Outstanding communication and presentation skills able to engage with stakeholders at all levels.
• 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.