Senior Manager, AI and Data Platform

2 weeks ago

Old Toronto, Canada Wave HQ Full time

We at Wave HQ believe that small businesses are the backbone of our communities. To support them, we empower business owners to manage their finances with confidence, using our comprehensive financial management solution.

About the Senior Manager, AI and Data Platform Role

As a leader in data platforms, DataOps, and AI/ML infrastructure, the Senior Manager, AI and Data Platform is responsible for ensuring the reliable operation of data and AI systems at Wave HQ. This role focuses on maintaining secure, scalable platforms that meet the evolving needs of the business.

The Senior Manager, AI and Data Platform will manage a team of Data Engineers and ML Engineers, driving the development, deployment, and monitoring of AI models and data pipelines. Additionally, this role includes overseeing data and AI operations, ensuring that models perform optimally and that our infrastructure remains robust and future-proof.

Key Responsibilities:

  • AI and Data Platform Evolution: Develop and optimize a secure, scalable AI and data platform that supports Wave HQ's growth, managing data ingestion, our data lake, and AI/ML infrastructure on AWS.
  • DataOps Implementation: Adopt and integrate DataOps practices to automate and optimize data workflows, ensuring data quality, lineage, and availability across the platform. Align DataOps with AI/ML initiatives to support continuous improvement and scalability.
  • Architectural Oversight: Continuously evolve Wave HQ's data, DataOps, and AI/ML architecture by reviewing, recommending, and implementing changes, integrating new tools, and ensuring thorough documentation.
  • AI Model Management: Oversee the full lifecycle of ML models, including training, deployment, monitoring, and optimization, while managing our portfolio of generative AI applications.
  • Collaboration and Partnership: Collaborate closely with internal technology partners and external partners like AWS to align initiatives with organizational goals.
  • Data and AI Integrity: Ensure data and AI model quality, lineage, and integrity across the platform through robust systems and processes.
  • Governance and Compliance: Implement and maintain governance processes that address stakeholder needs, emphasizing security, transparency, and efficiency.
  • Project Management: Lead the team in scoping, prioritizing, and executing data and AI projects, setting clear goals, tracking progress, and removing obstacles.
  • Mentorship and Best Practices: Mentor the team in best practices for data engineering and AI/ML operations, conducting regular 1-on-1s, setting goals, and holding the team accountable.
  • Stakeholder Management: Represent the team with confidence and transparency, managing relationships across all data and AI functions.

Requirements:

  • 7+ years of experience in data and AI/ML, including 5+ years in data platform architecture.
  • 5+ years of experience managing teams of data and/or AI/ML professionals, with a track record of leading cross-functional teams and complex projects.
  • Advanced SQL skills for querying large, complex datasets.
  • Proficient in Python, with experience in data frame-based libraries and AI/ML libraries.
  • Strong understanding of DataOps practices and experience with AWS services and distributed computing.
  • Solid grasp of MLOps practices and experience with data pipeline tools and DevOps.
  • Proven ability to collaborate with internal partners and external partners to align initiatives with organizational goals.
  • Experience in Agile team leadership and success in setting, meeting, and exceeding quarterly OKRs.
  • Effective communicator and project manager with a strong ability to partner with business and engineering stakeholders.

Nice to Have:

  • Expertise in generative AI, including understanding key techniques and applications.
  • Familiarity with Retrieval-Augmented Generation, Large Language Model fine-tuning, and agentic GenAI patterns.
  • Experience deploying and managing generative AI with AWS Bedrock, LangChain, or similar platforms.
  • Experience implementing data privacy and compliance solutions, especially with AI Management Systems.
  • Experience with Stitch, Segment, and integrating third-party data tools into platforms.
  • Cross-industry experience in Payroll, Banking, Fintech, Payments Processing, or Accounting industries where data and AI/ML are critical.
  • Experience managing data product lifecycles, including versioning, monitoring, and continuous improvement.

We believe that a diverse and inclusive culture creates the best workplace. We embrace our differences, value individuality, and the broad spectrum of every Waver's skills and abilities. We challenge each other from a place of respect and pursuit of continuous growth. We trust each other and encourage everyone to bring their authentic selves to work, every day. As Wavers, our voices matter, our opinions are met with an open mind. The best ideas win, no matter whose they are. Contributing to an inclusive culture is a part of all of our job descriptions.

We've been continuously recognized as one of Canada's Top Ten Most Admired Corporate Cultures and one of Canada's Great Places to Work in categories including Technology, Millennials, Mental Health, Inclusion, and Women.

We care about our employees' growth and well-being, providing opportunities for education, mentorship, and career advancement. We also prioritize work-life balance and offer flexible work arrangements to support our employees' unique needs.

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