- Company Name
- OMERS
- Job Title
- Director, AI Delivery and Innovation – Data & Technology
- Job Description
-
Job Title: Director, AI Delivery and Innovation – Data & Technology
Role Summary:
Lead rapid delivery of AI solutions aligned with enterprise AI strategy, establishing an innovation function to accelerate prototyping, experimentation, and transition of AI use cases into production across the Data & Technology organization.
Expectations:
- Deliver measurable business impact through end‑to‑end AI projects.
- Build a high‑performing team focused on rapid experimentation and scalable production.
- Maintain strong stakeholder engagement at executive and business levels.
- Ensure alignment with governance, responsible AI, and ethical standards.
Key Responsibilities:
- Drive concept‑to‑deployment delivery of AI solutions, ensuring strategic alignment.
- Collaborate with AI Strategy and Data Platforms leaders to support vision and roadmap.
- Build and lead an innovation capability to accelerate ideation, prototyping, and validation.
- Partner with business customers to translate needs into actionable AI solutions.
- Work with Software Engineering to scale prototypes into production systems.
- Maintain engagement with Customer Success and Innovation teams to deliver tangible value.
- Establish delivery frameworks, governance, and best practices for AI projects.
- Monitor emerging technologies and industry trends to inform innovation.
- Lead, mentor, and develop a rapid delivery team.
Required Skills:
- 10+ years in technology delivery, digital transformation, or AI‑focused roles.
- 8+ years delivering enterprise AI/ML solutions, including LLMs and advanced analytics.
- 5+ years leading high‑performing technical teams.
- Expertise in GenAI frameworks, model selection, scalability, and secure deployment.
- Deep knowledge of cloud (Azure), data platforms (Snowflake, Databricks) and data lifecycle.
- Proficiency in Agile, DevOps, MLOps, AIOps, Agentic AI frameworks.
- Strong stakeholder engagement, executive communication, and influence.
- Understanding of responsible AI, governance, and ethical considerations.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred).
- Industry certifications in AI/ML, cloud platforms, or Agile/DevOps (e.g., Azure AI Engineer Associate, Certified ScrumMaster, TensorFlow Developer Certificate) are advantageous.