University Health Network
Project Manager - Data & Analytics
This job is now closed
Job Description
- Req#: 928199
- Lead multiple projects of large scope and complexity from initiation to close-out;
- Lead enterprise-wide change through comprehensive strategic planning, engagement and communications;
- Advance adoption and user experience guidelines to ensure solutions are presented in a meaningful and accessible manner that allows users to easily understand & interpret data;
- Assist with business insights and opportunities aligning to strategic priorities;
- Facilitate a collaborative environment with executive leadership, program team(s), external vendors/contractors, and functional, business and technical stakeholders;
- Incorporate subject matter expertise and data-driven evidence to create holistic solutions that meet business requirements and establish best practices and standards.
Qualifications
- An Undergraduate Degree in Health Informatics, Industrial Engineering, Business, or a related field;
- PMP certification;
- 5+ years of project and people management experience, with 3+ years of experience as a full-time Project Manager;
- Experience working in a public healthcare organization;
- Experience with Agile and Scrum processes.
- Experience with data visualization tools (Power BI or equivalent);
- Experience with data analysis, cleansing and ETL processes
- Master’s degree in Healthcare or related business field and experience with programming languages (DAX, Python, SQL, R, others) considered an asset
Why join UHN?
In addition to working alongside some of the most talented and inspiring healthcare professionals in the world, UHN offers a wide range of benefits, programs and perks. It is the comprehensiveness of these offerings that makes it a differentiating factor, allowing you to find value where it matters most to you, now and throughout your career at UHN.
About the company
The University Health Network (UHN), consisting of Princess Margaret Cancer Centre, Toronto General Hospital, Toronto Western Hospital and Toronto Rehabilitation Institute, is a recognized leader in patient care, research and education. - PMP certification;
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- Lead enterprise-wide change through comprehensive strategic planning, engagement and communications;
PROJECT MANAGER - UHN DATA & ANALYTICS
Posting #: 928199
Union: Non-Union
Site: Toronto General Hospital
Department: UHN Data & Analytics
Reports to: Senior Manager
Hours: 37.5 hours per weekSalary: $93,070 to $116,337 annually (To commensurate with experience and consistent with UHN compensation policy)
Status: Permanent Full Time
Posted Date: January 22, 2024
Closing Date: February 5, 2024The University Health Network, where “above all else the needs of patients come first”, encompasses Toronto General Hospital, Toronto Western Hospital, Princess Margaret Cancer Centre, Toronto Rehabilitation Institute and the Michener Institute of Education. The breadth of research, the complexity of the cases treated, and the magnitude of its educational enterprise has made UHN a national and international resource for patient care, research and education. With a long tradition of ground breaking firsts and a purpose of “Transforming lives and communities through excellence in care, discovery and learning”, the University Health Network (UHN), Canada’s largest research teaching hospital, brings together over 16,000 employees, more than 1,200 physicians, 8,000+ students, and many volunteers. UHN is a caring, creative place where amazing people are amazing the world.
Position Summary
Working under the direction of the Senior Manager, Business Intelligence & Automation, the Project Manager will play a key role in managing projects that connect decisions makers to data that will enable UHN to take a holistic approach to fast, effective and accurate real-time decision making. The team bridges data, decisions, actions and outcomes to help change how problems are solved, how data is visualized, and how intelligence automation technologies are applied.
Duties
- Lead multiple projects of large scope and complexity from initiation to close-out;