. This position establishes and implements a corporate data model, data management, data governance, data warehousing and architecture programs for the Institute in alignment with the organizational priorities, plans, goals and strategic decision making. Oversees the Institute's operational reporting systems, including IBM Cognos, IBM TM1, and Millennium FAST Reports and associated Oracle and Microsoft SQL databases. Leads the development and governance of Artificial Intelligence (AI) initiatives across the Institute ensuring ethical, transparent, and responsible use of AI technologies are in alignment with institutional goals and regulatory standards.
Duties & Responsibilities
KEY
ACCOUNTABILITIES
:
Participates as a member of the Enterprise Application Services leadership team, contributing to the development and implementation of the ITS strategic plan, business and operational plans, and sharing responsibility for achievements and success.
Establishes and manages the implementation of a corporate data modelling and data management program to support and align with organizational goals, requirements and business operations.
Manages the operational reporting platforms (IBM Cognos, IBM TM1, Millennium FAST Reports), ensuring their effective use in supporting business intelligence, financial planning, and institutional reporting. Manages the lifecycle of reporting database systems (Oracle, MSSQL) including installation, configuration, upgrades, patching, and decommissioning to ensure optimal performance and reliability. Generates data science initiatives to solve complex business problems and develops plans for data warehousing solutions to support business intelligence and ensuring efficient data storage, retrieval, and processing.
Promotes data analytics initiatives that align with business and user needs. Influences and manages the architecting, development and deployment of data related initiatives, including data transformation scripts, data lakes/warehouses and data analytic dashboards.
Defines, creates and manages the implementation of best practice data governance practices, standards, policies and procedures for use across the Institute.
Collaborates with all areas of the Institute to facilitate greater utilization of data by establishing definitions and system structures for robust reporting requirements while upholding the integrity of data, data governance and consistency in practice. Ensures data and AI governance, ethics, practices and information security meets the strictest of standards, fairness, transparency, accountability and is adhered to for data protection, responsible use, privacy and related laws and regulations.
Leads the design, development, and deployment of AI solutions to support institutional priorities. Translates business needs into AI solutions and communicates technical concepts to non-technical partners. Monitors AI models for performance, bias, and compliance with privacy and regulatory standards.
Collaborates with academic, administrative, and technical teams to identify opportunities for AI driven innovation and automation to advance data architecture, analytics and robust reporting.
Plans and incorporates new and innovative technologies for database infrastructures and advancements; manages the development and adherence of comprehensive database security policies and protocols to protect sensitive data from unauthorized access and breaches.
Stays current and keeps pace with evolving technology and platforms in the data science and analytical landscape.
Manages staff, overseeing and participating in selection, coaching, mentoring, development, performance management and other people-management practices.
Qualifications
QUALIFICATIONS
&
REQUIREMENTS
:
Bachelor's Degree in Computer Science, Business or a related field.
Minimum 5 years' direct experience including 5 years of advanced project management experience. An equivalent combination of education and experience may be considered.
Proficiency in SQL programming and database management systems (e.g., Microsoft SQL, Oracle). Strong knowledge of data lake and warehousing concepts and tools (e.g., Microsoft Fabric, Hadoop, Snowflake).
Experience managing enterprise reporting platforms such as IBM Cognos, IBM TM1, and Millennium FAST Reports, including report development, system administration, and user support.
Experience with data visualization tools (e.g., Tableau, Power BI). Strong understanding of operational reporting workflows and their integration with institutional data systems.
Advanced statistical analytical skills and machine learning with an ability to apply sound judgment in problem solving, evaluating courses of action, and making recommendations and/or decisions.
Familiarity with programming languages such as Python, R, and SAS and cloud-based AI platforms (e.g. Azure, ML, AWS SageMaker) and an ability to develop predictive models and algorithms.
Advanced leadership and mentorship experience along with strong interpersonal, written, and oral communication skills, with the ability to communicate effectively with all levels of staff, clients, and customers.
Advanced experience in developing and deploying AI models using machine learning frameworks (e.g., TensorFlow, PyTorch).
Advanced knowledge of AI governance principles, including ethical considerations and regulatory compliance.
Demonstrated commitment to responsible and inclusive AI practices.
Additional Information
Benefits - Why you'd love working with us
Competitive pay
Minimum of twenty-five days of vacation
Competitive employer-paid extended health and dental plan including access to a Health Care Spending Account of up to $500 if eligible!
Defined benefit
pension
plan with employer contributions
Flexible hybrid work arrangements available
Professional Development
funds and resources
Access to most BCIT Flexible Learning
courses
free of charge
Wellness
and Employee Assistance programs
Complimentary membership with free access to the Fitness Centre, Gymnasium, and more* Eligibility requirements apply, benefits may vary depending on the employee group the position belongs to and whether the position offered is temporary or part-time. For more information on our generous benefits,
click here
!
BCIT is committed to the principles of equity, diversity & inclusion and to promoting opportunities in hiring for systemically oppressed groups who have been excluded from full participation at BCIT and the larger community. This includes Indigenous Peoples, women, racialized persons, persons with disabilities and those who identify as 2S/LGBTQIA+. All qualified candidates are encouraged to apply; however, Canadian citizens and permanent residents will be given priority.
Persons with disabilities who require accommodation for any part of the application or hiring process should
contact us using our contact form
. Please note that all applications must be submitted via the careers page portal.
Applications submitted through the contact form will not be accepted
. For additional information, please visit our
frequently asked questions (FAQs)
page and see
how we hire
.
The British Columbia Institute of Technology acknowledges that our campuses are located on the unceded traditional territories of the Coast Salish Nations of xwm??kw?y??m (Musqueam), S?wx?wu7mesh (Squamish), and s?l?ilw?ta?? (Tsleil-Waututh).
Position Details
Posting Category
Management
Salary Range
$123,820 - $177,992, with a control point of $154,775 per annum
Additional Salary Information
The Compensation Range is the span between the minimum and the maximum base salary for a position. The control point of the range represents an employee that possesses full job knowledge, qualifications, and experience for the position. In the normal course, employees will be hired, transferred, or promoted between the minimum and the control point of the salary range for a job, taking internal equity into account. Salaries above the control point may be considered for extenuating circumstances and must be approved by an external governing body.
Department 2
Enterprise Applications & Services
Campus Location
Burnaby campus
Bargaining Unit
Management
Job Status
Regular
Full-Time/Part-Time
Full-Time
Number of Vacancies
1
Anticipated Start Date
02/02/2026
Anticipated End Date
Competition Information
Competition Number
25M227
Competition Open Date
11/15/2025
Competition Close Date
11/29/2025
Open Until Filled?
No
Beware of fraud agents! do not pay money to get a job
MNCJobz.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.