Job Description

Description

The

Office of the Postgraduate Medical Education

in the

Cumming School of Medicine

invites applications for a

Data Specialist

. This Full-time Fixed Term position is for approximately 17 months (based on length of grant funding), with the possibility of extension.


The Data Specialist is responsible for facilitating data-driven decision making within the Office of Postgraduate Medical Education (PGME) by providing expert data collection, analysis, compilation and visualization to Postgraduate Medical Education (PGME) Leadership.


Reporting to the Manager, Quality Improvement and Accreditation, PGME.

Summary of Key Responsibilities

(job functions include but are not limited to):


Full-Stack Data Solution Development and maintenance


Design and implement comprehensive data solutions from conception to deployment Evaluate project feasibility and recommend appropriate technology stacks for diverse use cases Develop and maintain data architecture including storage solutions, ETL/ELT processes, and data pipelines Create and manage semantic data models optimized for reporting and analytics consumption

Database Development and Administration

Create a relational database and modern data warehouse solutions for PGME data sources Act as primary contact for database inquiries, access and concerns Implement data governance practices ensuring data quality, security and compliance Provide technical expertise on database design decisions and reporting infrastructure

Data Analysis, Reporting, and Communication

Primary resource for compiling, modeling and analyzing PGME data across multiple domains Develop automated reporting solutions and self-service analytics capabilities Knowledge and application of machine learning Data extraction/reporting/analyses for all PGME activities (e.g. resident enrollments, rotation evaluations, process evaluation, administrative data, innovation and CQI metrics, benchmarking, etc.) Create diverse data products including interactive dashboards, automated reports, analytical datasets, and custom applications as required Design and implement data visualization solutions optimized for different user personas and use cases

Strategic Data Communication and Collaboration

Meet with stakeholders to understand requirements and translate business needs into technical solutions Present data insights and project outcomes to PGME Leadership and committees as needed Work with PGME Leadership and committees Act as a resource for improved services, recommendations and practices within PGME Work collaboratively on strategic projects related to PGME Leadership, CQI team, research committee including reporting to committees, university, government, etc. as required Develop high-quality presentations of data, ensuring proper university branding is followed

Technology Innovation and Project Leadership

Evaluate and implement emerging technologies including AI/ML tools while maintaining appropriate ethical and privacy standards Champion data democratization initiatives while ensuring appropriate governance and security measures Promotes collaboration and knowledge translation with internal and external members at every opportunity

Compliance and Governance

Adhere to all university policy and regulatory requirements, including FOIP legislation and research ethics Implement and maintain data privacy and security measures, particularly when utilizing AI-enabled solutions

Qualifications / Requirements:

Bachelor's or Master's Degree in Computer Science, Data Science, Software Engineering, Mathematics or other relevant discipline such as Intelligent systems/machine learning required Have numerical skills used in a data science context, including working with numerical data in analytics and/or machine learning contexts Minimum 5 years of experience in database creation/monitoring, database creation, statistical analysis of data, data presentation, strategic communication documentation writing and review Proven experience designing and implementing end-to-end data solutions, encompassing data source identification, feasibility assessment, ETL technology selection, data storage architecture, data modeling, and reporting methodology Experience with Business Intelligence applications and modern data platform tools with an emphasis on reporting, data mining, advanced analytics and self-service analytics capabilities required Experience with aspects of Information Management such as the collection and use of information from multiple sources in both structured and unstructured formats required Proficiency in Microsoft Fabric ecosystem including OneLake, Data Warehouse, Lakehouse, Data Pipeline, Data Flow, and Notebook and the related environments required Advanced skills in modern data technology stack including Python, SQL, Power Query, DAX, Power BI, Tableau, RDBMS, with working knowledge of VBA/Macros required Experience with database design, data modeling, data integration, and schema development as it pertains to PGME Leadership as required Experience with data pipeline orchestration and workflow automation Experience working alone as well as in a dynamic team with proven personal effectiveness and productivity is required Strong awareness of data privacy, security, and ethical considerations when implementing AI-enabled solutions is required Extensive experience using various methods to model relationships in data (regression, clustering, decision trees, anomaly detection, trend prediction, time-series, forecasting, etc.) Skilled at extracting insights from complex, multi-source data environments Expert at using inferential and descriptive statistics to guide decisions Ability to use NLP (Natural Language Processing) to derive insights Understanding of AI fundamentals with experience in context engineering Good at identifying and evaluating novel, complementary data sets

Application Deadline:

November 7, 2025

We would like to thank all applicants in advance for submitting their resumes. Please note, only those candidates chosen to continue on through the selection process will be contacted.


This position is part of the AUPE bargaining unit, and falls under the

Technician Job Family, Phase 2.


For a listing of all management and staff opportunities at the University of Calgary, view our

Management and Staff Careers website

.

About the University of Calgary

UCalgary is Canada's entrepreneurial university, located in Canada's most enterprising city. It is a top research university and one of the highest-ranked universities of its age. Founded in 1966, its 36,000 students experience an innovative learning environment, made rich by research, hands-on experiences and entrepreneurial thinking. It is Canada's leader in the creation of start-ups. Start something today at the University of Calgary. For more information, visit ucalgary.ca.


The University of Calgary has launched an institution-wide Indigenous Strategy committing to creating a rich, vibrant, and culturally competent campus that welcomes and supports Indigenous Peoples, encourages Indigenous community partnerships, is inclusive of Indigenous perspectives in all that we do.

As an equitable and inclusive employer, the University of Calgary recognizes that a diverse staff/faculty benefits and enriches the work, learning and research experiences of the entire campus and greater community. We are committed to removing barriers that have been historically encountered by some people in our society. We strive to recruit individuals who will further enhance our diversity and will support their academic and professional success while they are here. In particular, we encourage members of the designated groups (women, Indigenous peoples, persons with disabilities, members of visible/racialized minorities, and diverse sexual orientation and gender identities) to apply. To ensure a fair and equitable assessment, we offer accommodation at any stage during the recruitment process to applicants with disabilities. Questions regarding [diversity] EDI at UCalgary can be sent to the Office of Institutional Commitments (

equity@ucalgary.ca

) and requests for accommodations can be sent to Human Resources (

hrhire@ucalgary.ca

).

Do you have most but not all the qualifications? Research show that women, racialized and visible minorities, and persons with disabilities are less likely to apply for jobs unless they meet every single qualification. At UCalgary we are committed to achieving equitable, diverse, inclusive and accessible employment practices and workplaces and encourage you to apply if you believe you are right for this role.

We encourage all qualified applicants to apply, however preference will be given to Canadian citizens and permanent residents of Canada.