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Responsibilities

• Define the multi-year vision for the Data Engineering Practice, ensuring our technical capabilities are ahead of the curve for enterprise demand for Data & AI transformation.
• Own the full P&L, including pipeline, pricing, delivery margin, and revenue growth, while reporting directly to executive leadership with clear commercial accountability.
• Build and sustain senior relationships with Google Cloud partner teams and client executives to generate meaningful deal flow and expand strategic accounts.
• Lead the practice's position on ethical AI and data democratisation while making principled, evidence-based bets on where advanced analytics and AI are creating real enterprise value.
• Drive investment in reusable IP, data accelerators, and delivery assets that improve consistency, reduce time-to-value, and protect margins at scale.
• Serve as a strategic advisor to client C-suite executives, helping them define data strategy, navigate AI adoption, and build the organisational capabilities to sustain it.
• Set the standard for engineering and analytical excellence across the practice by hiring well, developing talent deliberately, and building teams that clients trust and return to.

Competencies

• 12+ years in data or AI consulting, including at least 3–5 years in a practice leadership or executive role, not just senior delivery or individual contribution.
• Proven P&L ownership: Direct experience managing revenue, margin, and growth targets in a consulting or professional services context.
• Data and AI ecosystem depth: Strong command of modern data architecture, AI, and ML trends, cloud-native data platforms, and enterprise data governance.
• Executive communication: Able to advise, challenge, and build lasting trust with C-suite stakeholders on complex, ambiguous problems, not just present to them.
• Business Development track record: Experience generating pipeline and closing complex, multi-stakeholder engagements, not just managing delivery once work is sold.
• Talent leadership: Has hired, grown, and retained senior data engineering and consulting talent in a practice or delivery organisation.

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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