VP, Commercial - AI Data Solutions

Own year-over-year revenue growth across the AI Data Solutions client portfolio, setting and delivering against ambitious commercial targets.

Grow wallet share within existing accounts by transitioning clients from discrete data task engagements to comprehensive, long-term AI data partnerships.

Identify and pursue new business opportunities within existing client organizations, expanding across AI research, product, safety, and engineering business units.

Develop and execute account-level commercial strategies and roadmaps that drive measurable revenue outcomes and position TELUS Digital as a preferred AI data partner.

Build and own trusted, consultative C-suite and senior leader relationships across client AI labs, foundation model teams, and GenAI product organizations.

Serve as the executive sponsor and primary point of escalation for strategic accounts, ensuring client confidence and long-term retention.

Actively shape the future direction of client AI programs, positioning TELUS Digital as a thought leader and strategic advisor, not just a service provider.

Negotiate commercial agreements, renewals, and expansions that reflect the value delivered and support long-term partnership growth.

Develop deep knowledge of the AGI and GenAI builder landscape, tracking competitive dynamics, emerging client needs, and new data training modalities to inform commercial strategy.

Partner with internal delivery, solutions, and marketing teams to shape compelling value propositions, proposals, and go-to-market narratives for the AI data services portfolio.

Represent TELUS Digital at industry forums, AI conferences, and client events to build brand presence and develop new commercial relationships.

Feed market intelligence back into the business to influence service development, pricing strategy, and competitive positioning.

Own the commercial P&L for the AI Data Solutions portfolio, managing revenue forecasts, pipeline, and commercial budget aligned to corporate growth objectives.

Lead and develop a team of Client Success professionals accountable for client retention, growth, and escalation management.

Collaborate with finance and operations leadership to ensure commercial commitments are commercially sound and deliverable.

Minimum 10 years in enterprise sales, account management, or client success roles, with 2–3 years at the VP level or equivalent in a commercially accountable capacity.

Direct experience selling to or partnering with AI labs, foundation model companies, or technology companies building AI-powered products is strongly preferred.

Demonstrated history of meeting or exceeding revenue targets and growing strategic enterprise accounts in a competitive outsourced or professional services environment.

Experience leading client-facing commercial teams, including hiring, coaching, and performance management of client success or account management professionals.

AI market fluency: credible understanding of the AGI and GenAI builder ecosystem, including how AI labs consume data training services, what drives their build vs. buy decisions, and the competitive landscape for AI data providers.

Enterprise sales & alliance management: proven track record of growing large, complex enterprise accounts moving from vendor to strategic partner through consultative selling, executive relationship development, and disciplined pipeline management.

Financial & commercial acumen: ability to own a commercial P&L, build revenue forecasts, structure deals, and make sound financial decisions that drive sustainable growth and protect margin.

Executive presence & communication: demonstrated ability to forge trusted relationships with C-suite and senior executives at global technology companies, inspiring confidence as a peer, not a vendor.

Global commercial leadership: ability to lead client success teams in a matrixed, international environment, motivating commercially focused professionals across geographies and time zones.

Agility in a fast-moving market: comfortable operating at AI speed, adapting commercial strategies quickly as client needs, competitive dynamics, and the broader AI landscape shift.

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