Manager, Data – AI Strategy

TELUS Digital

Manager of Data & AI Strategy at TELUS Digital delivering high-quality client engagements and developing AI strategies. Leading workshops and guiding clients through actionable plans.

Posted 6/30/2026full-timeToronto • 🇨🇦 CanadaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud Platform

About the role

Key responsibilities & impact

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
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
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
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
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
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
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
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)

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
Paid time off
Professional development
Flexible work arrangements
Employee equity plans

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Data ManagementAI/Analytics ConceptsChange ManagementOperating Model DesignMaturity AssessmentsGap AnalysesUse Case PrioritizationEvaluation FrameworksPrototypingBusiness Development

Soft Skills

StorytellingCommunicationMentoringProblem StructuringDecision-Making