Senior Data Management Consultant (Clinical Product and Technology)
Toronto, ON, CA
TELUS
By choosing TELUS you get access to amazing plans, phones and high-speed internet on Canada's most-awarded network, and help connect Canadians in need.Join our team within TELUS Health Care Centers (THCC) business unit, where we support the day-to-day technology operations for health clinics across Canada. As part of our data management leadership team, you will drive the strategic direction of our healthcare data infrastructure, ensuring optimal performance and reliability of our clinic systems while enabling advanced analytics capabilities.
This is an exciting opportunity to join the Business Intelligence (BI) team as a senior technical leader responsible for architecting and managing medical results data systems for patients and employers across THCC. We are a dynamic, fast-paced, and innovative team focused on leveraging cutting-edge data technologies to transform healthcare delivery in our clinics nationwide.
Our team and what we'll accomplish together
As a Senior Data Management Consultant within TELUS Health Care Centers, you will spearhead the technical strategy and implementation of enterprise-scale data solutions. Your deep technical expertise and leadership will be crucial in designing and maintaining robust data architectures that support critical healthcare operations and analytics.
What you’ll do
- Architect and lead the implementation of enterprise-scale data platforms and analytics solutions for medical results management
- Design and optimize complex data pipelines handling sensitive healthcare information across multiple systems and databases
- Lead the technical strategy for data integration, ensuring seamless connectivity between various healthcare systems and data sources
- Develop and implement data governance frameworks and best practices for handling medical data
- Architect advanced analytics solutions using machine learning and AI to improve healthcare delivery and operational efficiency
- Guide the technical direction of spatial data analytics for population health insights and clinic performance optimization
- Lead complex SQL optimization initiatives and design scalable database architectures
- Mentor junior team members and provide technical leadership across multiple projects
- Drive innovation in healthcare data management through emerging technologies and methodologies
What you bring
- Bachelors degree in Computer Science, Data Science, Health Informatics, or related field (Masters preferred)
- 8+ years of experience in enterprise data architecture and management, with significant exposure to healthcare systems
- Deep expertise in designing and implementing large-scale data warehousing solutions and ETL pipelines
- Advanced knowledge of healthcare data standards (HL7, FHIR, etc.) and experience with EMR/EHR systems
- Expert-level proficiency in:
- Advanced SQL and database optimization techniques
- Cloud platforms (GCP and Azure) with focus on healthcare-compliant implementations
- Data modeling and architecture design patterns
- Python/Java development for enterprise applications
- Modern data stack technologies (dbt, Airflow, Kafka, etc.)
- Strong experience with building and managing IaC using Terraform
- GitHub and GitHub Actions/Workflows
- Familiarity with monitoring, alerts, and logging solutions like DataDog and Dynatrace
- Experience with GCP cloud data related services ( Dataflow, GCS, Datastream, BigQuery, Dataplex, PubSub, Analytics Hub)
- Demonstrated experience leading technical teams and mentoring data professionals
- Strong background in implementing healthcare analytics solutions using modern BI tools (Tableau, Looker, PowerBI)
- Extensive experience with data security and privacy compliance in healthcare (PHIPA, etc.)
- Track record of successful large-scale data architecture implementations in healthcare settings
- Excellence in technical project leadership and stakeholder management at senior levels
Advanced knowledge of English is required because you will most of the time interact in English with external parties (clients, suppliers, candidates, external partners, etc.); interact in English with internal parties (colleagues, internal partners, stakeholders, etc.); and work with IT tools whose interface is only accessible in English as part of this position's main responsibilities given its national scope.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Azure BigQuery Business Intelligence Computer Science Data Analytics Dataflow Data governance Data management Data pipelines Data Warehousing dbt ETL GCP GitHub HL7 Java Kafka Looker Machine Learning Pipelines Power BI Privacy Python Security SQL Tableau Terraform
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