Senior Data and AI Specialist

Role overview

Build data products, automation, and AI-assisted workflows that improve the quality and economics of a global telecommunications network. Working across carrier relations, technology, engineering, product, supply operations, and finance, this role combines technical analysis with business problem-solving to investigate fraud, billing issues, network performance, and margin opportunities. The position owns work end to end, from requirements and governance through delivery and adoption.

Responsibilities

- Design, test, and deploy LLM-based agents and other AI workflows for unstructured, multi-step data investigations. - Use Python to automate repetitive analysis and create scalable tools for individual users and broader operational teams. - Establish orchestration and data architecture practices that support accuracy, safety, efficiency, maintainability, and reliable human oversight. - Query complex telecommunications datasets with SQL to identify root causes, reduce fraud and billing errors, improve network quality, and optimize margins. - Build dashboards, repeatable business-intelligence solutions, and KPI frameworks using tools such as Tableau, Looker, or Python. - Translate business needs into data requirements and governance standards, communicate findings clearly, and take ownership of delivery timelines and documentation.

Requirements

- At least 5 years of professional experience developing technical data or automation solutions. - Extensive SQL experience and a strong understanding of relational database schemas. - Experience with Google Sheets or Excel and business-intelligence tools such as Tableau or Looker. - Practical experience using Python, APIs, or workflow platforms to build automated data processes and pipelines. - Experience building agents or working with LLMs to solve complex, multi-step, unstructured problems. - Strong grounding in data management, governance, hygiene, and safe technology deployment.

Nice to have

- Familiarity with telecom, messaging, or voice networks. - Experience in SaaS, technology, management consulting, investment banking, project management, or requirements gathering for data teams. - Experience working with customers, vendors, or external partners, supported by strong written and verbal communication skills.

Benefits and work setup

This is a remote role based in Ontario, British Columbia, or Alberta, Canada, with occasional travel for project or team meetings. The source describes healthcare, time off, parental and wellness leave, retirement savings, and a target bonus, with benefits varying by location.