Directeur – Trice – Données et IA / Director – Data and AI
| Company | Plusgrade |
|---|---|
| Location | Montreal, QC, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Advanced degree in a relevant field: Master’s or Ph.D. in computer science, data science, statistics, or a related discipline
- Extensive experience in data and AI: Proven track record of leading successful data and AI projects, with a deep understanding of data science, machine learning, and artificial intelligence, especially in AI Agents, Generative AI, and other AI applications.
- Strong leadership and management skills: Ability to build and manage high-performing teams, with a focus on collaboration, innovation, and results.
- Excellent communication and interpersonal skills: Ability to communicate effectively with technical and non-technical audiences, and build strong relationships with key stakeholders.
- Strategic thinking and problem-solving skills: Ability to think strategically, identify opportunities, and solve complex problems.
- Passion for data and AI: A strong interest in the potential of data and AI to transform businesses and industries.
Responsibilities
- Contribute and execute the organization’s data and AI strategy, with a focus on AI Agents, Generative AI, and other AI applications: Define the delivery goals, and roadmap for data and AI initiatives, ensuring alignment with overall business objectives and metrics.
- Develop and maintain performance and cost metrics of data and AI platform
- Lead the AI team: Build and mentor a team of MLOps Engineers, and other specialists, fostering a collaborative and high-performing environment.
- Collaborate with the Data Engineering leader to help execute the Data and AI strategy
- Identify and prioritize data and AI opportunities: Collaborate with Plusgrade’s business stakeholders (Finance, Legal, HR and Technology, Business Operations) to identify opportunities to leverage data for advanced analytics and AI to drive business value.
- Oversee the development and deployment of data and AI solutions: Manage the full lifecycle of data and AI projects, from ideation to deployment and monitoring.
- Ensure data quality and governance: Establish and enforce data quality standards and governance practices, ensuring data accuracy, integrity, and security.
- Stay abreast of emerging data and AI trends: Monitor the latest developments in data science, artificial intelligence, and machine learning, and identify opportunities to apply them to the organization.
- Build and maintain relationships with key stakeholders: Collaborate with business leaders, IT, corporate security and other stakeholders to ensure alignment and support for data and AI initiatives.
- Communicate effectively with technical and non-technical audiences: Translate complex technical concepts into clear and concise language that can be understood by all stakeholders.
Preferred Qualifications
- Expert knowledge of AI, Gen AI, Software Development Life Cycle, and cloud platforms
- Deep understanding and application of project management tools and methodologies
- Ability to rationalize design decisions clearly and objectively and challenge engineering teams to produce their best work
- Familiarity with GenAI Services (AWS Bedrock and Sage, GCP Vertex, Azure OpenAI), LLM Models (GPT-4.0, Gemini, Llama), Orchestration (Native Python, Semantic Kernel, Langchain), Vector Databases, Observability (Langfuse), Cloud platforms (AWS, GCP, Azure), UI (React & Next.js)
- Proficiency in Python, R, or other programming languages
- Ability to create clear and compelling data visualizations
- Experience in managing data and AI projects
- Understanding of both client needs, and industry needs as they relate to specific Gen AI software solutions