Senior Director, AI Innovation Lab

Position Summary

The incumbent is a strategic and technology leader who takes ownership of LGI Healthcare Solutions artificial intelligence innovation lab and common platform engineering ecosystem. Reporting to the Chief Information Technology Officer (CTO) they lead five major domains: internal AI technical management of AI products technical management of data products the design of common AI modules and AI design partnerships. The Senior Director defines the technical vision orchestrates the AI engineering teams aligns AI capabilities with business objectives and positions LGI as a leader in healthcare AI. As a change agent they inspire their team drive innovation and work with internal and external stakeholders to design high-impact AI and data solutions.

Key Responsibilities

• Strategic AI vision and platform federation: Define and articulate the technical and strategic vision for LGI Healthcare Solutions AI ecosystem and common AI platforms. Develop the multi-year roadmap covering internal AI AI products data products and in collaboration with R&D AI solution design partnerships aligned with business priorities. Advise the CTO on emerging trends in AI data architecture and platform engineering.
• Internal AI: Establish the foundations of a structured AI adoption program for all employees awareness training and upskilling while measuring improvements in talent performance and efficiency close collaboration with the culture and talent team the program defines the required AI competencies role-based learning paths tools and platform access (with governance guardrails on responsible use) as well as progress indicators while providing change support for durable adoption.
• AI pipelines: In collaboration with R&D design tool and evolve the AI pipelines shared across the companys functions. Ensure that AI experiments operate within a rigorous framework of governance reproducibility and scalability. Foster a culture of applied innovation within the teams under their responsibility complementing R&Ds research teams.
• Technical management of AI products: In collaboration with R&D and product management oversee AI products in support of the R&D teams from design through to production release. Jointly ensure the quality reliability security and scalability of AI products delivered to customers and internal users. Ensure AI models are integrated into LGI Healthcare Solutions software solutions.
• Technical management of data products: In collaboration with R&D oversee the development and governance of data platforms (data lakehouse ETL/ELT pipelines catalogues data APIs). Ensure the quality availability and security of the data used by AI products and analytics teams. Promote best practices in data engineering and governance (Law 25 compliance quality standards responsible processing).
• Development and management of the AI innovation lab: Lead the teams responsible for designing the AI software services and common AI modules that power LGI Healthcare Solutions collaboration with the R&D teams put in place modern AI-related engineering practices. Ensure technical coherence across the platforms components. Develop prototypes leveraging the most advanced AI models on the market and support their transition from prototype to production.
• AI development partners: In collaboration with R&D manage relationships with technology partners AI solution vendors consulting firms and external collaborators. Assess select and oversee strategic partnerships for AI solution design. Negotiate agreements ensure deliverable quality and maintain relationships grounded in performance and value created.
• AI governance security and compliance: Establish and maintain a responsible AI governance framework including model transparency bias management data protection and regulatory compliance (Law 25 healthcare sector standards). Embed security and privacy requirements across all engineering and deployment practices.
• Budget and resources: Develop manage and optimize the budgets under their responsibility. Prioritize investments based on value risk and execution capacity. Ensure sound management of costs licences and outsourced services.
• Team leadership and development: Supervise engage and develop the teams under their responsibility. Define the objectives performance indicators responsibilities and priorities of each domain. Foster a culture of technical excellence innovation and collaboration. Attract develop and retain talent in AI and platform engineering.

Role Success Indicators

• An integrated prioritized AI and platform roadmap executed in alignment with the CTOs vision and business objectives.
• Successful delivery of AI products and data platforms on schedule on budget and to quality standards.
• Measurable adoption of AI solutions.
• Increased maturity of AI engineering data governance and platform development practices.
• High-performing strategic partnerships that create value.
• Engagement development and stability of the AI and engineering teams.
• Cost optimization and improved value generated by technology investments.

Qualifications :

Education and Required Knowledge

• Bachelors degree in computer science software engineering or a relevant related field.
• Training or certification in product management or change management or an MBA an asset.
• Minimum of 10 years experience in information technology or software engineering including at least 5 years in roles managing multidisciplinary teams.
• Demonstrated experience designing and deploying artificial intelligence systems in production (ML LLM RAG AI agents data pipelines).
• In-depth knowledge of modern data platform architectures (data lakehouse cloud data platforms data APIs) and of MLOps/LLMOps practices.
• Solid understanding of modern software engineering practices (DevSecOps CI/CD service-oriented architecture microservices automated testing) sufficient to arbitrate technical choices and engage engineering teams as a peer.
• Experience managing technology partners AI vendors and external development firms.
• Strong understanding of AI governance and data protection issues (Law 25 healthcare sector standards) an important asset.
• Experience in digital health SaaS or software solutions serving critical infrastructure an important asset.
• Excellent communication and leadership skills with the ability to engage technical teams and influence senior management.
• Strategic thinking and a strong capacity for execution and delivery in complex environments.
• This position requires bilingualism as the successful candidate will be required to work with documentation in French and English and to communicate verbally and in writing with French-speaking and English-speaking partners customers vendors and colleagues.

Additional Information :

Why join LGI 

• A workplace built on trust autonomy and collaboration 
• The opportunity to grow perform and work alongside curious and talented colleagues 
• A continuous learning culture with dedicated training time a renowed skills development platform and access to cutting-edge tools 
• Stimulating projects that advance healthcare technology and support the work of over 320000 professionals benefiting more than 6 million patients 
• A comprehensive benefits package including group insurance from day one a group RRSP with employer contributions 24/7 telemedicine an employee and family assistance program and a minimum of 3 weeks vacation per year 

At LGI Healthcare Solutions we value diversity equity and inclusion. We believe that a diversity of experiences perspectives and backgrounds contributes to our success. We are committed to fostering an inclusive equitable and respectful work environment where everyone can thrive and reach their full potential. We encourage all qualified individuals to apply.

Interested

Come and join us!

Remote Work :

No

Employment Type :

Full-time