GTM Analytics Lead owning revenue data models, metrics, and Sales BI. Powering decisions for ButterflyMX’s smartphone - based building access platform.
About the role
- 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.
Responsibilities
- 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
- 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
- Health insurance
- Paid time off
- Professional development
- Flexible work arrangements
- Employee equity plans
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