Director, Analytics and Institutional Research

3 weeks ago

BC Canada Capilano University Full time
Director, Analytics and Institutional Research Please see Special Instructions for more details.

Interested applicants should submit their cover letter, resume and proof of education. Capilano University is an equal opportunity employer. 

Posting Summary

Competition Number

Competition Number S181148P

Position Title

Position Title Director, Analytics and Institutional Research

Position Number

Position Number 00000

Employee Group

Employee Group Administrator

Position Status

Position Status Regular Full-Time

Start Date

End Date (if applicable)

Department

Department Institutional Research

Additional Notes

Although this position can be performed fully remote, the successful individual must reside in British Columbia (BC), as per regulation.

Location

Working with us

As a member of the the Institutional Research & Analytics team here within Capilano University, you will be a vital asset in providing an exceptional experience to both our employee and student communities through invention, collaboration, and technical talent.
As we embark on our university wide digital transformation, we’ll be seeking fellow trailblazers to join our teams as we integrate state of the art analysis frameworks and technologies. With a variety of projects and initiatives in the pipeline, there is no shortage of opportunity to innovate.
Within our teams, you’ll be working alongside a variety of talented individuals involved in initiatives focused on cyber security, data analysis, operational analytics, quality assurance, integration, customization, and implementation.
Do you have a passion for optimization? Join us in creating a lasting impact that goes beyond routine tasks, contributing to the long-term success of our analytical landscape and the university community.

What you’ll do

The Director of Analytics and Institutional Research will spearhead the strategic development and management of the university’s data infrastructure for the purpose of strategic enrollment management. This role demands effective collaboration with internal and external stakeholders to bolster data-informed decision-making and ensure robust data governance. The ideal candidate will have a proven track record in leading high-performing data teams, a strong foundation in technical and analytical disciplines, and the ability to distill complex data insights for diverse audiences. Key responsibilities include promoting data literacy, advancing the university’s data science capabilities, and ensuring these efforts align with the strategic goals of the institution. This role is remote/hybrid, and the successful candidate will lead a team of 3-5 remote analysts. This role reports to the Associate Vice-President of Strategy, Analytics and Transformation.

  • Collaborate with Digital Technology Services ( DTS ) to design, implement, and manage a robust data infrastructure that includes data warehouses, data lakes, and data pipelines, ensuring high data quality and scalability to support strategic enrollment management.
  • Contribute to the development and implementation of data governance policies and programs to ensure data integrity, security, and compliance with Ministry requirements and other regulations.
  • Oversee analytics and research activities, including the collection, analysis and reporting of data related key enrollment indicators, key performance indicators, visualizations, institutional surveys, and relevant research projects.
  • Mentor, coach, and develop a high performing team to deliver timely, scalable, and quality data and research products.
  • Proficiency in managing large datasets, conducting complex data analysis, and utilizing database management systems (e.g., skilled in SQL , NoSQL, and other database technologies).
What you’ll bring
  • Master’s degree or higher in Data Science, Computer Science, Information Management, or a related field.
  • Minimum of 8 years of experience in data management, analytics, or a related field, with at least 3 years in a leadership role.
  • Experience and proven track record in designing and implementing data infrastructures, including data warehouses, data lakes, and ETL (Extract, Transform, Load) processes.
  • Experience and proven track record of leading and delivering complex analytics and research projects to support organizational priorities.
  • Experience in consulting, higher education or a related sector is preferred.
  • Experience in leading remote and/or hybrid teams is preferred.
At Capilano University, we understand that there is more to life than work. That is why we offer comprehensive benefits and support to help you and your family live a balanced life. Take a sneak peak to see what it is like to work at Capilano University.

Days and Hours of Work

Our standard work week is Monday to Friday, 8:30am – 4:00pm. This position may include working evenings and weekends based on departmental needs.

Bridge Period (if applicable)

Pay Group

Pay Group 15

This position has a salary range of $122,418 (minimum) to $163,224 (midpoint) to $187,707 (maximum) per annum. Employment offers will typically be made between the minimum and midpoint of the range and are determined by knowledge, experience and internal equity.
Additionally, Capilano University also offers a competitive total rewards package (college pension plan, employer paid benefit premiums, health spending account, modified work week, remote working options, etc.)

Required fields are indicated with an asterisk (*).

  • * Have you completed a master’s degree or higher in Data Science, Computer Science, Information Management, or a relatedfield?
    • Yes
    • No
  • * Do you have 8 years of recent experience in data management, analytics, or a related field, with at least 3 years in a leadership role?
    • Yes
    • No
  • * Do you have experience in designing and implementing data infrastructures, including data warehouses, data lakes, and ETL (Extract, Transform, Load) processes?
    • Yes
    • No
  • * Do you have experience in leading remote and/or hybrid teams, outside of COVID-19?
    • Yes
    • No
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