About the role

Senior Manager bridging business goals with AI technical execution. Driving AI initiatives and governance frameworks in a leading weather data company.

Responsibilities

Support the establishment and facilitation of a cross-functional AI Steering Committee, helping coordinate intake, prioritization, and lifecycle tracking of AI initiatives & enterprise-wide projects
Contribute to the development and refinement of evaluation frameworks for AI initiatives, including ROI, security, technical feasibility, and risk
Act as a trusted partner and AI advocate to stakeholders, coaching teams on how to effectively adopt and apply AI tools within their workflows, and helping translate business needs into practical use cases
Lead the implementation of AI tools and solutions, ensuring integration into existing tech systems with strong performance, security, and data flow
Partner closely with Data Engineering teams to execute against a clean and scalable data architecture
Own delivery of Minimal Viable Products (MVPs) and pilot use cases, iterating based on feedback and performance
Lead the rollout and evolution of internal AI enablement initiatives, including launching and facilitating “AI Guilds” across key business units (e.g., Sales, HR, Finance), identifying and mentoring power users to act as local implementation leads
Collaborate with Head of AI & stakeholders on organizational planning, providing input into future capability and hiring needs (12–24 months) based on emerging priorities and workload

7+ years in technical operations, digital transformation, product, or related fields, with a proven builder mindset and experience contributing to the launch or scaling of new initiatives or functions
Demonstrated ability to lead cross-functional initiatives or working groups, manage stakeholder expectations, and influence decision-making related to AI adoption
Experience operating in ambiguous, fast-paced environments, with the ability to drive clarity, alignment, and execution
Hands-on experience supporting or delivering Generative AI solutions from data ingestion and RAG (Retrieval-Augmented Generation) architecture to production-grade deployment.
Practical expertise in working across the full AI product lifecycle, including development, deployment, and optimization
Familiarity with LLMOps concepts and practices to support scalable, secure AI solutions
Skilled in bridging AI models with existing business systems (CRM, ERP, etc.) via secure API management, MCPs, and custom middleware.
Proven experience partnering with Data Engineering teams to build or utilize unified data layers, ensuring AI tools are powered by a scalable and clean data architecture.
Deep proficiency in the Google Gemini Enterprise suite and the Google Cloud / Vertex AI ecosystem or similar platforms.

Flexible Work Environment 💻
Retirement Savings Matching Plan (RRSP). Plan for your future with us! 💸
Personal Spending Account 💰
Up to $500 to spend on anything related to physical, mental or financial well-being (in addition to your Health Care Spending Account)
17 Paid Days Off (in addition to 13 Personal Days) 🌅
This includes an extra day off during the month of your birthday 🍰- our gift to you!
An IDEAS (Inclusion, Diversity, Equity, Awareness, Solidarity) team ⚖️
Your mental health is important to us! 🧠 We partner with Inkblot for virtual counseling sessions
Free online doctor visits 👩‍⚕️ with Maple Online Healthcare
While we encourage 1:1 conversations, we recognize that not everyone is comfortable with speaking up 🗣 We have an anonymous reporting platform to ensure everyone’s voice is heard