Technical Product Manager - Digital Pathology
- Mississauga, ON, Canada
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Original job description
Technical Product Manager
Project Duration: 6-12 months
Mississauga, Canada
The Opportunity
- Translate product strategy into detailed scientific requirements for prototype construction and final product development by engineering and data science teams.
- Be the voice of the customer for the product development team throughout the entire product development lifecycle, from definition to sunsetting of the product.
- Collaborate with customers, team members, and outside influencers to ensure a proven and well-rounded understanding of products and developing needs.
- Maintain in-depth knowledge of the digital pathology market, portfolio, and of our competitors.
- Be the high-availability resource for answering questions posed by engineers, data scientists, and designers about stories in the backlog on a day-to-day basis.
- Author user stories, acceptance criteria, product, and software requirements documentation, ensuring that story content and prioritization is aligned to larger strategic goals.
- Support the User acceptance testing activities by interacting with stakeholder/s. Prepare release notes and update the business owners regarding features being incorporated in each Release.
Who you are
- You hold a bachelor degree in Computer Science, Mathematics, Physics, Electrical Engineering or equivalent and have a minimum of 3 years experience in Technical Product Management in the health care service industry OR developing SaMD/Digital Health products OR analogous experience managing requirements of computer vision systems based on AI/ML.
- You have a proven track record with Agile methodologies including Scrum and Scaled Agile Framework.
- You demonstrate Product Management skills - handling priorities, quality, conflict, risk, etc.
Preferred
- You have an advanced degree in Bioinformatics, Computational Sciences, Data Science, Biology, Chemistry or equivalent.
- You demonstrate proven understanding of the digital pathology space and the associated technologies.
- You have experience in regulated industries, specifically Medical Devices/Digital Health/Lifesciences.
- You demonstrate an understanding of US FDA regulations and guidelines.
- Occasional travel may be required in the amount of 10-20% for conferences and client visits.
More about this job
Responsibilities
Translate product strategy into scientific and software requirements, author and prioritize user stories, and support engineering and data science teams throughout the product lifecycle. Represent customer needs, maintain knowledge of the digital pathology market, support user acceptance testing, and prepare release notes and updates for business owners.
Requirements
A bachelor’s degree in Computer Science, Mathematics, Physics, Electrical Engineering, or an equivalent field and at least three years of relevant technical product management or analogous experience are required. Candidates should have experience with Agile, Scrum, and Scaled Agile Framework; an advanced degree, digital pathology knowledge, regulated-industry experience, and understanding of US FDA guidance are preferred.
Skills
- Technical Product Management
- Product Strategy
- Requirements Management
- Agile Methodologies
- Scrum
- Scaled Agile Framework
- User Story Writing
- Acceptance Criteria
- Digital Pathology
- Computer Vision
- Artificial Intelligence
- Machine Learning
- User Acceptance Testing
- Release Management
- Stakeholder Management
- FDA Regulations
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Management & Leadership
- Healthcare
- Data & Analytics
- Science & Research
Keywords
- Technical Product Management
- Digital Pathology
- Product Strategy
- Scientific Requirements
- Software Requirements
- Product Development Lifecycle
- Engineering
- Data Science
- Agile
- Scrum
- Scaled Agile Framework
- User Stories
- Acceptance Criteria
- Backlog Prioritization
- User Acceptance Testing
- Release Notes
- Computer Vision
- Artificial Intelligence
- Machine Learning
- Software as a Medical Device
- Digital Health
- Medical Devices
- Life Sciences
- US FDA Regulations
- Stakeholder Management
- Market Analysis
- Risk Management
- Quality Management
- Bioinformatics
- Computational Sciences