Data Quality Analyst

The Data Quality Analyst is responsible for ensuring the accuracy, reliability and consistency of information classified by organizational business processes using a structured taxonomy. This position provides expert advice and knowledge on how to use machine learning to automate processes for assessing, cleaning, and validating classifications to meet data quality standards and support business objectives.

• Provides education and awareness of information taxonomy management to the organization and stakeholders.
• Represents the organization on multi-partner committees and working groups.
• Coordinates and facilitates the use of taxonomy classifications for information in the custody and control of TI Corp.
• Keeps current on emerging trends, issues, technologies, and approaches relating to machine learning and data science taxonomy management and application.
• Develops and uses key performance indicators to improve automated document classification.
• Leads the development of standards, procedures and protocols for the operational application of taxonomy classifications within the TI Corp information repository.
• Develops training data to create automated classification processes using machine learning.
• Collaborates with Project and Corporate Business Units to assess the use and implementation of a corporate information repository and associated taxonomies.
• Oversees the application of data science taxonomies for the management of information including reviewing, updating and recalling documents to monitor, update and standardize classifications.
• Provides advice and assistance to Projects and corporate business units regarding the classification and disposition of government information in the corporate information repository.
• Provides advice on the operational use, approach, evaluation, and assessment of information taxonomies.
• Supports the development of information management policies, guidelines, and standards.
• Supports the efficient use of automated classification processes to assign, update and manage information repository classification taxonomies. This includes identifying issues discovered during the course of using, training, configuring, and/or testing automated classification processes.

• Experience at leveraging structured and unstructured data sources in the development and implementation of data taxonomies.
• Degree or diploma in data science, computer science, information science, library science, GIS, or other relevant specialty field and related experience
• You must be legally authorized to work in Canada.
• Experience and familiarity with machine learning, clustering, and taxonomy classification techniques.
• Ability to work both independently and collaboratively.
• An offer of employment is conditional upon the completion of an acceptable current criminal record check.
• Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources.
• Experience creating and delivering executive-level presentations for the purpose of decision making.
• Experience determining appropriate use of various problem structuring methods and classification methods for taxonomy development and implementation.
• Experience leading/coaching multi-disciplinary senior-level professionals in the development and implementation of data science projects
• Knowledge of the practical application of data science, classification taxonomies and technology. This includes applying principles, techniques, procedures, and equipment to the design and production of information management services.
• Ability to identify complex problems and reviewing related information to develop and evaluate options and implement solutions.
• Ability to analyze needs and deliverable requirements to create a design.

The salary range for this position is $81,000 to $112,000. The final offer will be determined based on the successful candidate’s skills, experience, and internal equity considerations. Please note that the offer may fall anywhere within the posted range and is not necessarily at the top end.

• We are part of the BC Public Sector Pension Plan – if you join us from other Public Service or Public Sector organizations who are part of this pension plan, your pension will continue seamlessly.
• TI Corp is dedicated to professionally growing staff and building internal capacity, through mentorship, active succession planning, learning and development financial assistance, and membership dues.
• Transit subsidy program.
• Top-up allowance for maternity and parental leave.
• Vacation starts at five weeks and with an additional one day per year of service to a maximum of six weeks.
• Free travel insurance for full-time employees.
• Hybrid work arrangement with the ability to work from home two days a week following an orientation period.
• Extended health and dental benefits plus a $1000 Health Spending Account annually.