Wave HQ is hiring a
Senior Manager AI & Data Platform

Summary

The Senior Manager, AI and Data Platform role at Wave is a leadership position focused on managing data and AI systems, implementing DataOps practices, overseeing AI model management, collaborating with partners, maintaining governance processes, leading projects, mentoring the team, and representing the team with stakeholders.

Requirements

• 7+ years in data and AI/ML, including 5+ years in data platform architecture (data pipelines, governance, and architecture)
• 5+ years managing teams of data and/or AI/ML professionals
• Advanced SQL skills for querying large, complex datasets
• Proficient in Python, with experience in data frame-based libraries (Pandas, Dask, Polars) and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn)
• Strong understanding of DataOps practices
• Experienced with AWS services (S3, Redshift, RDS, DynamoDB, SageMaker)
• Strong understanding of distributed computing (Apache Spark) and hands-on experience with AWS Glue
• Solid grasp of MLOps practices
• Familiar with data pipeline tools like Kafka, dbtCloud, Terraform, and Kubernetes
• Expertise in DevOps and Infrastructure as Code (IaC) with Terraform HCL

Responsibilities

• Ensure the reliable and efficient operation of both data and AI systems at Wave
• Lead the development and optimization of a secure, scalable AI and data platform that supports Wave’s growth
• Manage data ingestion, our data lake, and AI/ML infrastructure on AWS
• Lead the adoption and integration of DataOps practices to automate and optimize data workflows
• Continuously evolve Wave’s data, DataOps and AI/ML architecture by reviewing, recommending, and implementing changes
• Oversee the full lifecycle of ML models, including training, deployment, monitoring, and optimization
• Collaborate closely with internal technology partners (Compliance, Engineering, IT, Security) and external partners like AWS to align initiatives with organizational goals
• Ensure data and AI model quality, lineage, and integrity across the platform through robust systems and processes
• Implement and maintain governance processes that address stakeholder needs, emphasizing security, transparency, and efficiency
• Lead the team in scoping, prioritizing, and executing data and AI projects, setting clear goals, tracking progress, and removing obstacles
• Mentor the team in best practices for data engineering and AI/ML operations
• Represent the team with confidence and transparency, managing relationships across all data and AI functions

Preferred Qualifications

• Generative AI Expertise
• RAG, LLM, and Agentic Patterns
• AWS Bedrock and LangChain
• Data Privacy and Compliance
• Third-Party Tools
• Cross-Industry Experience
• Data Product Management

Benefits

• Work From Where You Work Best: We will always have a welcoming, energizing, and world-class office (in Toronto) with a space for you. Or, if you’re more comfortable working from home, the choice is yours
• We Care About Future You: You will stretch yourself and you will grow at Wave. You will also be supported on this journey with diverse learning experiences, educational allowances, mentorship, and so much more
• We Support the Full You: We make a serious investment in your health & wellness. When we think about benefits we think about body, mind, & soul and we take this stuff very seriously
• We Take Care of the Fundamentals: Fair compensation, all the office perks you’d want, and the various goodies you’d expect from a growing tech company. This is the obvious stuff, but we don’t want you to think we forgot!
• At Wave, you’re treated like the incredible human being you are