Manager - Information Services

Description

Turn intelligence into impact — powering smarter, stronger, faster community connection.

Our team and what we’ll accomplish together

The AI Community Insights team at TELUS transforms data into action by combining artificial intelligence, analytics, and human understanding to drive community and customer growth.vOur mission is to connect insight to impact—empowering our go-to-market, direct-to-consumer, and community engagement teams with timely, AI-driven intelligence.

As Manager, Information Services, you’ll lead a multidisciplinary team of data engineers, analysts, and AI specialists responsible for building and maintaining the data systems, pipelines, and insights platforms that enable community-level decision-making. Reporting to the Director, AI Community Insights, you’ll bring together people leadership, technical expertise, and strategic thinking to help TELUS achieve its ambition of becoming a world-class, data-driven organization.

What you’ll do

Leadership and Strategy

• Lead and develop a diverse team of technical and analytical professionals, fostering collaboration, innovation, and accountability


• Translate strategic business objectives into actionable data roadmaps supporting community engagement, marketing performance, and customer growth


• Build strong relationships across GTM, Marketing, Sales, Systems, and PMO functions to align data capabilities with business outcomes


• Champion responsible AI, data ethics, and privacy compliance in all data-driven initiatives


• Foster a culture of continuous learning, mentorship, and innovation

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Technical Delivery and Enablement

• Oversee design, development, and maintenance of data pipelines and insight platforms integrating structured and unstructured community and customer data


• Drive data quality, governance, and metadata standards across the AI Community Insights portfolio


• Partner with enterprise data and analytics teams to ensure scalable, secure, and compliant integration with TELUS’ data ecosystem


• Lead the adoption of AI and advanced analytics techniques—including natural language processing, predictive modeling, and real-time insight generation—to support business decision-making


• Translate analytical findings into clear, actionable recommendations for non-technical audiences

A week in this role is about balancing technical leadership and strategic collaboration - guiding your team through data sprints, meeting with partners across Community & Customer Growth to translate insights into action, and ensuring our AI-driven platforms deliver accurate, timely intelligence that strengthens TELUS’s connection to customers and communities. Your work directly shapes how TELUS executes, learns, and wins across Canada.

Qualifications

What you bring

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Analytics, or a related discipline


• 6+ years of experience in data engineering, analytics, or AI, including at least 3 years of people-leadership experience


• Proven ability to manage complex data projects, define scope and timelines, and deliver measurable business results


• Strong technical proficiency in SQL, Python, data modeling, and cloud environments (preferably Google Cloud Platform)


• Hands-on experience designing and optimizing data pipelines and integrating multiple internal and external data sources


• Excellent communication and stakeholder-management skills, with the ability to translate technical detail into business value


• Passion for applying AI and analytics to improve community connection, operational efficiency, and customer experience

Great-to-haves

• Experience with data visualization and storytelling tools (Looker, Tableau, Power BI)


• Familiarity with AI/ML pipelines, LLMs, or NLP applications


• Exposure to marketing analytics, customer intelligence, or telecommunications data environments


• Google Cloud, AWS, or Azure certification


• PMP or Agile/Scrum certification

Basic knowledge of English is required because you will occasionally interact in English with external parties (clients, suppliers, candidates, external partners, etc.); interact in English with internal parties (colleagues, internal partners, stakeholders, etc.); and work with IT tools whose interface is only accessible in English as part of this position's main responsibilities given its provincial scope.