Senior Data and AI Specialist

Accountabilities:

• • Architect, test, and deploy LLM-powered agents and AI workflows that automate complex, multi-step, and previously manual data investigations.
  • Build Python-based automation, APIs, and workflow solutions that transform repetitive processes into scalable, reliable operational capabilities.
  • Develop both individual productivity tools and multi-user workflows that improve human efficiency and enable business teams to self-serve insights.
  • Establish strong data architecture and AI orchestration practices focused on safety, accuracy, efficiency, maintainability, and reliable outputs.
  • Perform advanced SQL analysis and root-cause investigations across complex telecommunications datasets to identify opportunities to improve network quality, reduce fraud, minimize billing errors, and optimize gross margins.
  • Create dashboards and repeatable business intelligence solutions using tools such as Tableau, Looker, Python, Google Sheets, or Excel.
  • Define meaningful KPIs and develop mechanisms to monitor performance, trends, and business outcomes over time.
  • Partner with cross-functional teams to translate business problems into clear data requirements, governance standards, pipelines, and scalable data products.
  • Communicate analytical findings clearly through written recommendations and verbal presentations that directly address business questions.
  • Take end-to-end ownership of data products, from scoping and requirements gathering through documentation, development, execution, delivery, and ongoing improvement.
  • Identify opportunities to replace manual analytics processes with innovative, agentic workflows and rapidly prototype solutions for future operational needs.
  • Manage multiple priorities and ensure projects are delivered on schedule, to a high standard, and with measurable business and customer impact.

  Requirements

  • 5+ years of professional experience developing technical data, analytics, automation, or related solutions.
  • Extensive experience with SQL, relational databases, and complex data schemas.
  • Strong proficiency with Google Sheets or Excel and experience with business intelligence platforms such as Tableau and/or Looker.
  • Hands-on experience using Python, APIs, or workflow automation platforms such as Airtable, Coefficient, Zapier, or n8n to create automated data workflows and process pipelines.
  • Experience building AI agents and applying LLM technologies to complex, multi-step, and unstructured problems, including familiarity with platforms or tools such as Claude, OpenAI, Gemini, or comparable technologies.
  • Strong understanding of data management, governance, quality, hygiene, and responsible use of technology.
  • Ability to break ambiguous business problems into structured, manageable components and translate them into practical technical solutions.
  • Excellent written and verbal communication skills, with the ability to synthesize complex analysis into clear, actionable insights.
  • Demonstrated ability to use technology within appropriate frameworks and metrics to maintain accuracy, efficiency, safety, and maintainability.
  • Familiarity with telecommunications, messaging, or voice networks is preferred.
  • Experience in SaaS, technology, management consulting, investment banking, or another analytical and technology-intensive environment is advantageous.
  • Experience with project management, requirements gathering, and collaboration with data or engineering teams is a plus.
  • Experience working with customers, vendors, external partners, or other diverse stakeholders is desirable.
  • A strong ownership mindset, curiosity, initiative, and ability to operate effectively in an evolving, fast-paced environment.
  • Willingness to travel occasionally for project or team meetings.
  • The role is remote and is specifically based in Ontario, British Columbia, or Alberta, Canada, despite the broader United States location designation.

  Benefits

  • Base salary: CAD $99,760–$124,700, with starting compensation determined by skills, experience, and geographic location.
  • Target bonus: 12.5%.
  • Competitive overall compensation package.
  • Healthcare benefits, with offerings varying according to location.
  • Generous paid time off and parental leave programs.
  • Wellness and wellbeing benefits.
  • Retirement savings program.
  • Remote-first working environment.
  • Opportunities to collaborate with distributed teams and participate in occasional in-person team or project meetings.
  • Opportunities to work with emerging AI technologies and high-impact data initiatives.
  • Support for professional growth, learning, and career development.
  • Inclusive culture that values diverse backgrounds, perspectives, initiative, and community impact.