Manager of Data & AI
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Posted on:
5 hours ago
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1 Vacancy
Job Summary
Job Title: Manager of Data & AI
Job Type: Permanent full time
Salary range: CAD $135000 - $155000
Reports to: VP Product and Engineering
About JMIR Publications
Come help us make a real difference in open science!
The Opportunity
As Manager of Data & AI reporting to the VP Product and Engineering you will be a key leader driving the execution of our companys data this role you wont just oversee datayou will lead the charge in integrating Generative AI Machine Learning (ML) and automated workflows into the fabric of our business.
As a player-coach you will balance high-level strategic roadmap planning with hands-on technical contributions. You will ensure our AI implementations are scalable secure and impactful and mentor a multidisciplinary team to shift from descriptive analytics toward predictive and prescriptive capabilities.
Key Responsibilities
Execution & Delivery
- Own the day-to-day operations and delivery of the data team.
- Translate the broader corporate data strategy into a manageable prioritized roadmap with clear milestones and accountability.
Team Leadership & Mentorship
- Manage mentor and develop a high-performing team of data analysts engineers and scientists.
- Foster a culture of technical excellence psychological safety collaboration and continuous learning.
- Support career development through regular coaching feedback and growth opportunities.
Hands-On Architecture & MLOps
- Act as a technical leader across the end-to-end lifecycle of AI/ML modelsfrom prototyping and experimentation to production deployment and ongoing monitoring.
- Remain hands-on with the codebase and architecture to guide the team through complex technical blockers.
- Champion engineering best practices: code reviews documentation testing and reproducibility.
Generative AI Integration
- Drive the pragmatic integration of Generative AI and LLMs into existing workflows to solve tangible business problems and improve operational efficiency.
- Identify high-value use cases (e.g. intelligent document processing content recommendations internal knowledge retrieval) and shepherd them from proof-of-concept to production.
Data Governance & Security
- Enforce data governance frameworks to ensure data quality integrity security and privacy compliance (e.g. GDPR CCPA) in daily operations.
- Partner with Legal Compliance and Security teams to embed responsible AI practices across all initiatives.
Cross-Functional Collaboration
- Partner closely with stakeholders in Product Engineering Marketing Finance and Operations to understand their needs scope data projects and deliver actionable insights.
- Translate complex technical constraints and trade-offs into clear ROI narratives for non-technical leadership.
Qualifications & Experience
- 7 years of progressive experience in data science data engineering or advanced analytics.
- 3 years in a team lead or people management role with demonstrated ability to develop technical talent.
- Deep hands-on experience with modern data architectures and cloud-based data warehouses (e.g. Snowflake BigQuery or Redshift).
- Proven experience deploying machine learning models into production and managing their lifecycle (MLOps).
- Hands-on experience with cloud platforms (AWS GCP or Azure) and their associated data and ML services.
- Advanced proficiency in Python and SQL along with standard data science libraries (e.g. Pandas Scikit-learn PyTorch or TensorFlow).
Preferred
- Degree in a quantitative field such as Computer Science Statistics Mathematics Engineering or a related discipline.
- Familiarity with the latest advancements in Generative AI and experience integrating LLMs into production workflows.
- Experience within the scientific publishing industry or adjacent knowledge-intensive sectors.
Core Competencies
- Communication: Ability to adapt communication style across audiences - translating complex technical concepts model limitations and data trade-offs into clear business language for executives and non-technical stakeholders while maintaining credibility and depth in technical conversations with engineers and data scientists.
- Technical Leadership: Ability to set architectural direction make pragmatic trade-offs and remain credible as a hands-on contributor.
- Mentorship & Talent Development: Track record of growing junior and mid-level talent into more senior contributors.
- Strategic Thinking: Capacity to connect day-to-day data work to broader business objectives and long-term roadmap planning.
- Stakeholder Management: Skilled at aligning cross-functional partners around priorities timelines and trade-offs.
- Data Storytelling: Ability to translate complex analyses and model outputs into compelling narratives for executive audiences.
- Adaptability: Comfortable operating with ambiguity and guiding a team through evolving priorities and technologies.
- Project Management: Experienced managing parallel workstreams dependencies and competing deadlines across a team.
What We Offer
- Competitive salary and benefits including fully paid monthly premiums for Canadian Extended Health Care and Dental Coverage Wellness Days and Life insurance.
- A beautiful office space near the harbourfront with free snacks and beverages and organized social events as a company such as BBQs.
- Flexible remote work environment.
- Work with a leading publisher in the field of digital health and open access research.
- A dynamic and innovative work environment.
Application Process:
Interested candidates should submit the following documents:
1. A current CV and/or resume
2. A cover letter describing why you are a match for this position.
Shortlisted applicants will be contacted regarding the subsequent steps in our recruitment process. This process includes a phone interview with HR and two video interviews with the hiring team.
We wish to thank all those who apply however only those individuals whose skills and experience most closely match our requirements will be contacted by a member of our team. All interviews will be held via video conference.
JMIR Publications is an equal opportunity employer. We are committed to a diverse workforce and maintaining a learning and working environment that is welcoming to all. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process
Application Privacy Commitment;
By submitting your application to JMIR Publications you acknowledge and agree to the following:
The personal information and resume you provide will be collected and used solely for the purposes of assessing your candidacy for the position applied for as well as for any other suitable roles within JMIR Publications that may arise. We are committed to safeguarding your personal information in accordance with applicable privacy laws and company policies.
Your information will be handled with strict confidentiality and will only be shared with those directly involved in the recruitment and hiring process. JMIR Publications will not disclose share or sell your personal data to any third parties without your explicit consent.
If your application is not successful JMIR Publications may retain your information for up to 3 years for future opportunities unless you request its removal.
By applying you consent to this collection use and retention of your personal data as outlined above.
Required Experience:
Manager
About Company
The official publisher website of JMIR Publications, the leading eHealth publisher.
