Manager, Techna
Role Overview
Manage product roadmap and development for health data applications and tools at the intersection of FAIR data management and machine learning.
Work with Data Science and Health Informatics Research teams on health data interoperability platforms and integrated predictive models.
Collaborate with developers, architects, analysts, designers, managers, customers, and research stakeholders.
Key Skills for This Role
Full Job Posting
Position summary
Manage product roadmap and development for health data applications and tools at the intersection of FAIR data management and machine learning.
Work with Data Science and Health Informatics Research teams on health data interoperability platforms and integrated predictive models.
Collaborate with developers, architects, analysts, designers, managers, customers, and research stakeholders.
Core responsibilities
- Identify technology opportunities, prioritize with leadership, and drive execution toward defined outcomes.
- Translate business needs into technical requirements; measure progress and value; use data to inform strategy.
- Communicate project progress, outcomes, product positioning, insights, and value across the organization.
- Oversee operations and administration for national Data Science projects and ensure effective resource allocation.
- Collaborate with research programs, principal investigators, UHN leaders, and partner organizations.
- Supervise technical staff, facilitate roadmap discussions, and promote team learning and experimentation.
- Manage concurrent projects, timelines, goals, and cross-functional dependencies in an iterative, agile environment.
Qualifications
- Master’s degree or recognized equivalent in Health Science, Computer Science, Health Administration, or a related field.
- Up to five years of relevant health-related experience; at least two years supervising and mentoring staff.
- At least two years managing SaaS enterprise products or platforms with technically complex infrastructure.
- Software engineering background or experience with data pipelines and modern data infrastructure, including examples such as Kubernetes, Spark, Beam, Redshift, or BigQuery.
- Experience supporting complex research and clinical environments and translating clinical or research needs into technology requirements.
- Track record taking features from conception through launch and adoption; project management familiarity with Agile and Waterfall.
- Knowledge of Java, SQL, Oracle, Mongo, RDF, HL7, FHIR, JavaScript, or Angular is an asset.
- Knowledge of REB, Health Canada, or equivalent regulatory and institutional requirements is an asset.
Work arrangement
- Position site is the R. Fraser Elliott Building at Toronto General Hospital in Toronto.
- The posting describes a flexible work environment but does not specify a remote or hybrid policy.
Compensation and schedule
- Salary range is CAD 105,476–155,476 per annum.
- Permanent full-time position; 37.5 hours per week, Monday to Friday.
Benefits
- Benefits include pension plan membership, transit and shuttle access, development opportunities, corporate discounts, and on-site gyms.
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