Data Quality Analyst

Salary Range: 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. About us: Transportation Investment Corporation (TI Corp) is a public crown corporation dedicated to delivering major infrastructure projects in British Columbia on behalf of the Ministry of Transportation and Infrastructure. With approximately $15 billion in major infrastructure developments, we are committed to upholding the highest standards of construction oversight. Why Join Us: At TI Corp, you’ll be part of a dynamic and innovative team driving transformative infrastructure projects that make a real difference in communities. We pride ourselves on fostering a collaborative and inclusive work culture where your ideas are valued. Enjoy competitive compensation and comprehensive benefits, along with opportunities for professional growth and development. Here, your contributions will not only shape your career but also the future of our infrastructure landscape. Join us and be a part of something impactful! Overview: 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. What We Offer: Vacation starts at five weeks and with an additional one day per year of service to a maximum of six weeks. 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. Extended health and dental benefits plus a $1000 Health Spending Account annually. 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. Hybrid work arrangement with the ability to work from home two days a week following an orientation period. Top-up allowance for maternity and parental leave. Free travel insurance for full-time employees. Transit subsidy program. Key Accountabilities: Oversees the application of data science taxonomies for the management of information including reviewing, updating and recalling documents to monitor, update and standardize classifications. Leads the development of standards, procedures and protocols for the operational application of taxonomy classifications within the TI Corp information repository. Provides advice on the operational use, approach, evaluation, and assessment of information taxonomies. Coordinates and facilitates the use of taxonomy classifications for information in the custody and control of TI Corp. Provides advice and assistance to Projects and corporate business units regarding the classification and disposition of government information in the corporate information repository. Collaborates with Project and Corporate Business Units to assess the use and implementation of a corporate information repository and associated taxonomies. Supports the development of information management policies, guidelines, and standards. Develops and uses key performance indicators to improve automated document classification. Develops training data to create automated classification processes using machine learning. 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. Provides education and awareness of information taxonomy management to the organization and stakeholders. Represents the organization on multi-partner committees and working groups. Keeps current on emerging trends, issues, technologies, and approaches relating to machine learning and data science taxonomy management and application. Qualifications: Degree or diploma in data science, computer science, information science, library science, GIS, or other relevant specialty field and related experience Related experience includes the following: Experience at leveraging structured and unstructured data sources in the development and implementation of data taxonomies. Experience leading/coaching multi-disciplinary senior-level professionals in the development and implementation of data science projects Experience determining appropriate use of various problem structuring methods and classification methods for taxonomy development and implementation. Experience and familiarity with machine learning, clustering, and taxonomy classification techniques. Experience creating and delivering executive-level presentations for the purpose of decision making. 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. 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. 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. Ability to work both independently and collaboratively. Additional Requirement: You must be legally authorized to work in Canada. An offer of employment is conditional upon the completion of an acceptable current criminal record check. Note: Collection Notice: Your personal information is collected from LinkedIn by Transportation Investment Corporation (TI Corp) pursuant to 26(c), 26(e), and 27(1)(a)(i) of the Freedom of Information and Protection of Privacy Act for the purpose of TI Corp recruitment. This includes information you provide through LinkedIn, as well as information about you that is generated by LinkedIn, such as your connections to other TI Corp employees on LinkedIn, how well the skills you have identified on LinkedIn match our job requirements, and what other TI Corp jobs you have applied for on LinkedIn By proceeding, you are authorizing TI Corp to indirectly collect this information. If you have any questions about the collection of your personal information, please contact the Privacy Officer at privacy@ticorp.ca.

Location: Vancouver, British Columbia, CA

Posted Date: 11/4/2025