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.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

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