Data & Analytics Engineer building scalable data platforms for Ledgebrook, an insurance company. Designing pipelines, governance, and cloud data systems while partnering with technical and insurance teams.
About the role
- Director leading Data Engineering practice at TELUS Digital, driving AI transformation for global clients. Overseeing P&L, building talent, and setting strategy.
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.
Requirements
- 12+ years in data or AI consulting, including at least 3–5 years in a practice leadership or executive role
- 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.
- Certifications: Google Cloud: Professional Data Engineer, Google Digital Leader
- Industry: AWS Certified Cloud Practitioner
Benefits
- Offers Bonus
- 25% performance bonus
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