Senior Director, AI Innovation Lab

LGI Healthcare Solutions Santé Inc.•Montreal, QC

About The Position

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.

Requirements

Bachelor's degree in computer science, software engineering or a relevant related field.
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.
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.
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.

Nice To Haves

Training or certification in product management or change management, or an MBA, an asset.
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.

Responsibilities

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.
Establish the foundations of a structured AI adoption program for all employees — awareness, training and upskilling — while measuring improvements in talent performance and efficiency gains.
Define 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.
Design, tool and evolve the AI pipelines shared across the company's 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&D's research teams.
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.
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).
Lead the teams responsible for designing the AI software services and common AI modules that power LGI Healthcare Solutions' products.
Put in place modern AI-related engineering practices.
Ensure technical coherence across the platform's components.
Develop prototypes leveraging the most advanced AI models on the market and support their transition from prototype to production.
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.
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.
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.
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.