At TELUS Digital, I lead a team of Quality Analysts supporting AI data operations, driving quality across data annotation, model evaluation, and content moderation projects through coaching, calibration, process improvement, and data-driven decision-making.
I see quality as more than inspection. It is about building systems, developing people, and creating clear processes that enable teams to deliver consistent, high-quality outcomes at scale.
Quality Operations extends far beyond reviewing work. It involves creating the systems that enable teams to perform consistently at scale.
My role combines operational leadership, people development, reporting, and continuous improvement to support large-scale AI programs.
Every improvement initiative I lead follows the same philosophy.
Identify operational patterns through data, trend analysis, and stakeholder feedback.
Design practical solutions through coaching, documentation, reporting, or workflow improvements.
Create repeatable processes that improve consistency across teams and projects.
Help people develop the confidence and capability to operate independently.
As our AI program expanded, quality responsibilities needed to be shared across larger teams, requiring more than onboarding documents: a structured approach to developing future specialists while maintaining consistent standards.
Our team launched a mentorship initiative guiding selected agent-level labelers through this transition. I played a key role designing the framework, documentation, and learning experience behind it.
Traditional shadowing alone wasn't enough to prepare new quality partners for increasingly complex responsibilities. The organization needed a structured, repeatable mentorship model that could:
I helped design and develop several foundational resources that supported the mentorship initiative, including:
I also worked closely with Operations, Training, and Quality leadership to keep the framework aligned with operational needs and practical for day-to-day use.
The initiative established a consistent learning experience for new quality partners while strengthening knowledge transfer across projects.
It also produced reusable documentation and coaching resources that continue supporting onboarding and operational consistency beyond the initial rollout.
Throughout my career, I've focused on building resources that improve how teams learn, communicate, and make decisions.
Created centralized knowledge bases, QA guides, onboarding resources, and documentation that reduced ambiguity and made information easier to access across multiple workstreams.
Developed reporting systems and automated trackers that enabled leadership to monitor quality trends, identify coaching opportunities, and make informed operational decisions.
Performed deep-dive analyses on quality trends, recurring issues, and operational escalations, translating findings into actionable recommendations for managers and stakeholders.
Partnered with Operations and Quality leadership to improve workflows, reporting accuracy, onboarding experiences, and quality governance across AI programs.
One of the most rewarding parts of leadership is helping others grow beyond their current roles. My coaching philosophy emphasizes continuous learning, clear expectations, and creating opportunities for analysts to develop new skills with confidence.
Provided tailored coaching based on performance trends, helping analysts strengthen technical knowledge while preparing for broader responsibilities.
Facilitated quality training sessions and developed workstream-specific onboarding materials that supported smooth transitions into new projects.
Launched learning initiatives that encouraged ongoing professional development through structured learning sessions, knowledge sharing, and self-directed growth.
Worked closely with Quality Managers, Operations Managers, Trainers, and stakeholders to improve alignment, resolve operational challenges, and support successful project launches.
I believe the strongest organizations don't rely on individual expertise alone. They create environments where knowledge is shared, expectations are clear, and continuous improvement becomes part of everyday work.
Whether I'm mentoring analysts, designing documentation, or presenting operational insights, my goal is always to leave behind systems that continue creating value long after they're implemented.
As AI systems continue to evolve, I believe quality operations will become increasingly focused on scalability, knowledge management, and operational intelligence.
I'm excited by opportunities to build quality organizations that don't just maintain standards, but continuously improve how people learn, collaborate, and deliver value.
I'd love to talk about how better systems, coaching, and knowledge management can help your team scale without losing consistency.