Manager, Data & AI Strategy

Who We Are

Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital product consultancy and the digital division of TELUS , one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.

With a global team across North America, South America, Central America, Europe, and APAC, we offer end-to-end expertise across eight core service areas: Digital Product Consulting, Digital Marketing Services, Data & AI, Strategy Consulting, Business Operations Modernization, Enterprise Applications, Cloud Engineering, and QA & Test Engineering.

From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.

 

Location & Flexibility

This role will operate remotely in Canada or out of our Vancouver, BC office

The Opportunity

The Manager, Data & AI Strategy leads the delivery of TELUS Digital's Data & AI advisory engagements, owning client relationships and driving outcomes across AI strategy, data governance, operating model design, and enterprise transformation.

This role acts as the face of the engagement—directing teams, leading workshops, and guiding clients from initial problem definition through to clear, actionable strategies and roadmaps. Managers operate as trusted advisors, bringing structured thinking, domain or capability expertise, and the ability to translate ambiguity into forward momentum.

Beyond delivery, Managers are expected to contribute to the evolution of the practice—developing reusable frameworks, shaping ways of working, mentoring junior team members, and identifying opportunities to expand client impact.

Responsibilities

Engagement Ownership & Client Partnership

• Own end-to-end delivery of client engagements, ensuring high-quality, on-time outcomes

• Serve as the primary point of contact and face of the engagement

• Build strong, trust-based relationships and act as a true partner to client stakeholders across business and technical teams

• Identify gaps between business ambition and current data/AI capabilities, and clearly articulate implications and risks

Workshops, Facilitation & Executive Advisory

• Design and lead client workshops across AI strategy, use case prioritization, governance, and operating model design

• Craft and deliver compelling, executive-level narratives that guide stakeholders from problem definition through to clear actions and outcomes

• Drive discussions that lead to alignment, decisions, and commitment to action

• Present and defend strategic recommendations to client stakeholders

• Challenge assumptions and guide clients toward pragmatic, value-driven decisions

• Advise on AI governance, responsible AI practices, and risk management approaches, including model oversight, policy design, and compliance considerations

Structuring Problems & Driving Outcomes

• Translate ambiguous client needs into structured problem statements, rigorous workplans, and high-impact deliverables

• Lead the creation and delivery of comprehensive strategic artifacts, including:

  • Maturity assessments, gap analyses, and actionable recommendations

  • Use case inventories and solution roadmaps

  • Data/AI operating models, governance frameworks, and prototype concepts

• Distinguish between foundational investments and advanced AI initiatives to ensure pragmatic sequencing, realistic phasing, and sustainable adoption

• Guarantee that all final outputs are highly actionable, prioritized, and explicitly aligned to measurable business value

Use Case Strategy, Prototyping & Solution Shaping

• Lead identification and prioritization of AI and data use cases aligned to business objectives

• Define evaluation frameworks (value, feasibility, data readiness, risk)

• Drive the creation of lightweight demonstrations, prototypes, and proofs-of-concept to bring data and AI solutions to life

• Partner with engineering and technical teams to develop and refine prototypes of data and AI solutions

• Use prototypes and demos to inform decision-making, de-risk initiatives, and strengthen client confidence

Team Leadership & Mentorship

• Direct and mentor Consultants, providing clear guidance, feedback, and coaching

• Structure workplans, allocate resources, and manage timelines and deliverables

• Review and elevate outputs to ensure quality, clarity, and consistency

• Foster a high-performance, accountable team environment

Practice Development & Reusable Assets

• Contribute to the evolution of Data & AI advisory frameworks, methodologies, and accelerators

• Develop reusable assets and structured approaches that improve delivery consistency and speed

• Monitor emerging trends (e.g., Generative AI, Agentic AI, data platforms) and incorporate relevant advancements into engagements

• Help shape the practice’s point of view and ways of working

Business Development & Engagement Expansion

• Support business development efforts, including proposals, SOWs, and client presentations

• Own identification and progression of expansion opportunities within active engagements

• Translate client needs and workshop outcomes into follow-on initiatives and multi-phase programs

• Partner with senior leadership to position and scope expansion opportunities

Technical Literacy

• Awareness of cloud platforms (Azure, AWS, GCP), data pipelines (ETL/ELT, APIs), and analytics/BI tools

• Understanding of data and AI governance concepts, including policy, risk, and compliance

• Understanding of how data and AI systems integrate within enterprise environments (no coding required)

How You’ll Make an Impact

• Own and deliver high-quality client engagements from end-to-end with minimal oversight and exceptional execution

• Serve as a trusted advisor and strategic partner to clients, moving beyond a traditional transactional consulting relationship

• Lead high-impact workshops and stakeholder discussions that drive clear, decisive outcomes and forward momentum

• Translate complex, ambiguous client challenges into structured, actionable data and AI strategies and roadmaps

• Mentor and develop Consultants, actively coaching them into stronger, more effective practitioners

• Contribute to the firm's growth by creating reusable assets and strengthening overall practice capabilities

• Successfully foster long-term client relationships, naturally converting initial engagements into follow-on work and expanded accounts

   

Qualifications

• Bachelor’s degree in Business, Computer Science, Engineering, Data Science, or related field; Master’s degree is an asset

• 4–7 years in consulting, focusing on data strategy, AI transformation, and platform modernization

• Proven ability to lead client-facing workstreams, manage/mentor junior team members, and support RFPs/pre-sales efforts

• Skilled in structuring ambiguous client problems, leading stakeholder workshops, and translating business drivers (growth, efficiency, risk, CX) into technical data/AI solutions

• Strong understanding of data management (governance, quality, integration) and AI/analytics concepts (ML, GenAI, LLMs, enterprise deployment)

• Exceptional storytelling and communication skills, with a track record of driving executive alignment and decision-making in fast-paced and ambiguous environments

• Experience or expertise in at least one of the following:

  • AI strategy and product strategy

  • Data governance and data management

  • Operating model design / AI CoEs

  • Change management for data and AI transformation

  • Industry expertise (e.g., Telco, Healthcare, Financial Services, CX/BPO )

• Fluency or proficiency in French is highly desirable but not required

Equal Opportunity Employer

At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.

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