Senior Manager, AI and Data Platform Leader

3 weeks ago

Toronto, Ontario, Canada WAVE Full time

About the Role

The Senior Manager, AI and Data Platform is a leader with deep expertise in data platforms, DataOps, and AI/ML infrastructure. This role is accountable for ensuring the reliable and efficient operation of both data and AI systems at Wave, with a focus on maintaining secure, scalable platforms that meet the evolving needs of the business.

Key Responsibilities:

  • Lead the development and optimization of a secure, scalable AI and data platform that supports Wave's growth, managing 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, ensuring data quality, lineage, and availability across the platform.
  • Continuously evolve Wave's data, DataOps and AI/ML architecture by reviewing, recommending, and implementing changes, integrating new tools, and ensuring thorough documentation.
  • Oversee the full lifecycle of ML models, including training, deployment, monitoring, and optimization, while managing our portfolio of generative AI applications.
  • 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, conducting regular 1-on-1s, setting goals, and holding the team accountable.
  • Represent the team with confidence and transparency, managing relationships across all data and AI functions.

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, 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 (Pandas, Dask, Polars) and AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).
  • Strong understanding of DataOps practices, including automated data pipelines, data quality monitoring, and CI/CD for data.
  • 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, including CI/CD for AI/ML and maintaining evolving data and AI system architectures.
  • Familiar with data pipeline tools like Kafka, dbtCloud, Terraform, and Kubernetes.
  • Expertise in DevOps and Infrastructure as Code (IaC) with Terraform HCL.
  • Proven ability to collaborate with internal partners (Compliance, Engineering, IT, Security) and external partners (AWS) to align initiatives with organizational goals.
  • Experienced in Agile team leadership using Scrum, with skills in sprint performance reporting, backlog grooming, and alignment with OKRs and KPIs.
  • Success in setting, meeting, and exceeding quarterly OKRs, with consistent KPI reporting.
  • Committed to mentoring through regular 1-on-1s, setting goals, and providing constructive feedback.
  • Effective communicator, able to convey complex technical matters visually and verbally.
  • Proactive, autonomous project manager with a strong ability to partner with business and engineering stakeholders from ideation to execution.

Nice to Have:

  • Generative AI Expertise: Expertise in generative AI, including understanding key techniques and applications.
  • RAG, LLM, and Agentic Patterns: Familiarity with Retrieval-Augmented Generation (RAG), Large Language Model (LLM) fine-tuning, and agentic GenAI patterns.
  • AWS Bedrock and LangChain: Experience deploying and managing generative AI with AWS Bedrock, LangChain, or similar platforms.
  • Data Privacy and Compliance: Experience implementing data privacy and compliance solutions, especially with AI Management Systems like ISO 42001.
  • Third-Party Tools: Experience with Stitch, Segment, and integrating third-party data tools into platforms.
  • Cross-Industry Experience: Knowledge or experience in Payroll, Banking, Fintech, Payments Processing, or Accounting industries where data and AI/ML are critical.
  • Data Product Management: Experience managing data product lifecycles, including versioning, monitoring, and continuous improvement.

About Wave:

At Wave, you're treated like the incredible human being you are. 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, everyday. 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.

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