Manager, Data & AI Strategy

TELUS Digital•Durham, NC

1d•Remote

About The Position

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.

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 )

Nice To Haves

Fluency or proficiency in French is highly desirable but not required

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

Benefits

Award-winning digital product consultancy
Global team across North America, South America, Central America, Europe, and APAC
End-to-end expertise across eight core service areas
Secure infrastructure and scale of our multi-billion-dollar parent company
Operate remotely in the United States or based out of one of our major North American office locations in Charlottesville, VA, Durham, NC, Columbus, OH, or Boston, MA.
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.
Actively coaching them into stronger, more effective practitioners
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
Equal opportunity employer
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.