DAT-031 Data & AI Platform Leader

Remote - Canada, GTA preferred

Job Description

Our client is seeking a senior engineering leader to oversee the development of artificial intelligence and core data platforms. This role will drive innovation in data quality and usage, simplifying data integration processes. The successful candidate will lead a high-performing team, driving efficient engineering practices and mentoring team members.

Key Responsibilities

• Lead the development of new initiatives to enhance data quality and usage
• Simplify data integration processes
• Provide thought leadership on emerging technologies to solve real-world challenges
• Define and uphold governance standards for artificial intelligence development
• Translate complex concepts into actionable strategies
• Mentor and coach team members, fostering a collaborative and inclusive team culture
• Drive excellence in engineering practices, including observability, reliability, and continuous improvement
• Evaluate and scale emerging technologies to improve customer experience and operational efficiency

Requirements

• 5+ years of engineering management experience, including managing managers and mentoring high-performing teams
• Proven track record of delivering impactful solutions that solve complex business challenges
• Deep technical expertise in artificial intelligence and machine learning frameworks
• Strong contributor to technical strategy and product direction
• Skilled at evaluating trade-offs, mitigating risks, and aligning technical investments with customer needs
• High degree of creativity and passion for responsible artificial intelligence development
• Demonstrated ability to foster collaborative team cultures that build and scale high-quality products
• Effective communicator and storyteller, able to distill complex topics to influence stakeholders

About the Team

Our client's engineering organization is a dynamic and fast-paced environment that values continuous learning, agile development, and lean startup principles. The team deploys daily, relying on automated testing, continuous integration, and feature flags. The tech stack includes cloud-based services, data processing frameworks, and programming languages such as Python and Scala.