
Manager, Machine Learning & AI
- Toronto, ON
- Permanent
- Full-time
- Project Delivery and Execution:
- Lead the end-to-end delivery of AI and data projects, from ideation to deployment, ensuring high-quality outcomes that meet business objectives.
- Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to design and implement AI solutions.
- Utilize the Microsoft technology stack (e.g., Azure AI, Azure Machine Learning, Power BI, Synapse Analytics) to architect and deploy scalable AI models and data pipelines.
- Business Development:
- Identify and pursue opportunities to expand AI and data initiatives, aligning with enterprise goals and client needs.
- Build strong relationships with internal and external stakeholders to drive adoption of AI solutions and secure buy-in for new projects.
- Contribute to proposals, presentations, and strategic plans to showcase the value of AI-driven transformation.
- Strategic Partnership:
- Act as a trusted partner to the Director of AI and Machine Learning, providing insights, recommendations, and operational support to advance the AI strategy.
- Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI innovation.
- Team Leadership and Collaboration:
- Mentor and guide junior team members, fostering a culture of innovation, collaboration, and continuous learning.
- Coordinate with other departments to ensure seamless integration of AI solutions into enterprise workflows.
- Performance and Accountability:
- Establish and track key performance indicators (KPIs) for AI projects to demonstrate measurable impact and ROI.
- Ensure compliance with data governance, security, and ethical AI standards in all projects.
- Experience:
- 5-7+ years of hands-on experience delivering AI and data projects in enterprise environments.
- Proven success in managing complex AI initiatives, from proof-of-concept to production, with measurable outcomes.
- Demonstrated business development acumen, including experience in client engagement, proposal development, and stakeholder management.
- Technical Expertise:
- Deep proficiency in the Microsoft technology stack, including Azure AI, Azure Machine Learning, Power BI, Synapse Analytics, and related tools.
- Strong understanding of machine learning algorithms, data modeling, and data engineering principles.
- Experience with cloud-based architectures and enterprise-grade data platforms.
- Enterprise Experience:
- Extensive experience working in large-scale enterprise environments, with a track record of delivering AI solutions that align with business objectives.
- Familiarity with enterprise challenges, such as data security, scalability, and regulatory compliance.
- Soft Skills:
- Exceptional communication and presentation skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Strong leadership and collaboration skills, with a proven ability to work as a strategic partner to senior leadership.
- Analytical mindset with a focus on problem-solving and delivering measurable results.
- Education:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field. Advanced degree (Master’s preferred).
- Certifications (Preferred):
- Relevant Microsoft Certifications (ie: Azure AI Engineer)
- Other relevant certifications in data science, machine learning, or project management (e.g., PMP, Six Sigma).