Manager - Talent Acquisition at TELUS Digital AI Data Solutions II SHRM - Certified Professional (SHRM-CP)
About the job
The Mission: As a Director of Engineering at Telus Digital, you will build and lead a high‑performing team that delivers customer‑loved products with exceptional quality, speed, and reliability. You will define the technical vision and provide enterprise‑level architectural guidance to ensure our platforms are scalable, secure, and seamlessly integrated with our business strategy.
What you will do
- Own Delivery & Reliability: Drive end‑to‑end delivery of AI‑powered products and features. Drive quarterly planning and execution, ensure commitments are met on time, uphold high availability, low latency, and deliver measurable business value.
- Define Enterprise Architecture: Partner with cross‑functional leadership to define enterprise‑wide technical strategy for Telus Digital's AI initiatives, establish architectural standards, best practices and governance frameworks to ensure consistency and quality.
- Lead future Leaders: Hire, coach and develop a high‑performing team of Engineers, Managers and specialised technical talent; foster a culture of technical excellence, accountability and continuous learning.
- Champion Engineering Excellence: Drive a culture of quality, velocity and continuous improvement; set and maintain high standards for code health, test coverage and code quality.
- Shape Strategy with Product: Partner with Product, Research and other critical stakeholder teams to translate strategic business goals into a focused roadmap.
- Raise The Technical Bar: Guide architectural choices, unblock critical designs, sponsor platform investments that reduce cycle time and improve developer experience.
- Operational Excellence: Establish and enforce strong practices for on‑call support, incident response, change management and post‑incident learning; ensure reliability and security are a shared responsibility.
- Scale the Organization: Design team topology for a growing AI division and define clear interfaces between research, data, engineering and critical teams.
- Budget and Vendor Stewardship: Own headcount plans and operating budgets, evaluate buy‑vs‑build decisions and manage relationships with strategic partners.
- Strategic Agility: Be agile within an enterprise organization, ready to step up and evolve strategically to meet any evolving needs.
Qualifications
- 12+ years in software engineering with 4+ years leading engineers and managers in multi‑team organisations.
- Demonstrated experience in building, deploying and managing complex, customer‑facing systems preferably powered by ML/AI at scale.
- Strong architectural judgment across a broad range of systems, data stores, APIs and modern full‑stack technologies; proven ability to design and govern large‑scale systems and define architectural standards.
- Strong technical background with the capability to be hands‑on if required and earn respect and mentor top technical talent.
- Excellent people leadership skills, proven ability to set crisp goals, coach for performance and build healthy, diverse teams.
- A data‑driven approach to planning, trade‑offs and process improvement.
- Exceptional communication and interpersonal skills, simplifying complex concepts, negotiating effectively and making clear decisions with executives and cross‑functional partners.
- Fluency in delivery operations, including on‑call, incidents and change management.
- Proven record of leading and scaling diverse teams from top tier colleges and Fortune leading engineering companies.
- Fluency with Data Engineering, Data Ops and Cloud practices, including data pipelines, feature stores, model training, versioning and monitoring.
Nice to have
- Direct experience with technologies like TensorFlow, PyTorch, Kubernetes, Kubeflow or MLOps platforms.
- Experience with responsible AI practices and frameworks for fairness, privacy, and explainability.
- Hands‑on background with Java, Go, Python, Node, React, TypeScript, Kubernetes, Postgres, Kafka, Redis, BigQuery or Snowflake, Terraform.
- Practical exposure to ML or LLM‑powered features, evaluation frameworks and responsible AI practices.
About us
https://drive.google.com/file/d/1Cq1cmk-ND-MDZVZcBdpIyhd5PfQOdQK-/view?usp=drive_link
Seniority level
Director
Employment type
Full‑time
Job function
Design
Industries
Software Development