TELUS Digital

Project Manager

• Develop and maintain detailed project plans, timelines, and milestones for digital transformation initiatives
• Manage end-to-end implementation of technology solutions and digital platforms
• Coordinate cross-functional resources to ensure successful and efficient project delivery
• Track and manage project budgets within allocated parameters
• Lead the deployment of digital solutions across assigned accounts
• Coordinate technical integrations with IT teams and vendors
• Manage project timelines and ensure on-time delivery of implementations
• Monitor and report on implementation progress and metrics
• Facilitate regular project status meetings with stakeholders
• Coordinate with client teams for customization needs and requirements
• Work closely with IT, Product, and Operations teams
• Support the preparation of status updates for RVPs and leadership
• Identify and track project risks and issues
• Develop and implement mitigation strategies
• Manage project health metrics and status reporting
• Coordinate resolution of technical and operational challenges
• Track and report on project KPIs and success metrics
• Monitor user adoption rates and implementation effectiveness
• Document project progress, challenges, and successes
• Prepare regular status reports and updates

Project Manager – CXAI

Data Scientist

• Own end-to-end delivery of client engagements, ensuring high-quality, on-time outcomes
• Serve as the primary point of contact and face of the engagement
• Build strong, trust-based relationships and act as a true partner to client stakeholders across business and technical teams
• Identify gaps between business ambition and current data/AI capabilities, and clearly articulate implications and risks
• Design and lead client workshops across AI strategy, use case prioritization, governance, and operating model design
• Craft and deliver compelling, executive-level narratives that guide stakeholders from problem definition through to clear actions and outcomes
• Drive discussions that lead to alignment, decisions, and commitment to action
• Present and defend strategic recommendations to client stakeholders
• Challenge assumptions and guide clients toward pragmatic, value-driven decisions
• Advise on AI governance, responsible AI practices, and risk management approaches, including model oversight, policy design, and compliance considerations
• Translate ambiguous client needs into structured problem statements, rigorous workplans, and high-impact deliverables
• Lead the creation and delivery of comprehensive strategic artifacts, including:
• Maturity assessments, gap analyses, and actionable recommendations
• Use case inventories and solution roadmaps
• Data/AI operating models, governance frameworks, and prototype concepts
• Distinguish between foundational investments and advanced AI initiatives to ensure pragmatic sequencing, realistic phasing, and sustainable adoption
• Guarantee that all final outputs are highly actionable, prioritized, and explicitly aligned to measurable business value
• Lead identification and prioritization of AI and data use cases aligned to business objectives
• Define evaluation frameworks (value, feasibility, data readiness, risk)
• Drive the creation of lightweight demonstrations, prototypes, and proofs-of-concept to bring data and AI solutions to life
• Partner with engineering and technical teams to develop and refine prototypes of data and AI solutions
• Use prototypes and demos to inform decision-making, de-risk initiatives, and strengthen client confidence
• Direct and mentor Consultants, providing clear guidance, feedback, and coaching
• Structure workplans, allocate resources, and manage timelines and deliverables
• Review and elevate outputs to ensure quality, clarity, and consistency
• Foster a high-performance, accountable team environment
• Contribute to the evolution of Data & AI advisory frameworks, methodologies, and accelerators
• Develop reusable assets and structured approaches that improve delivery consistency and speed
• Monitor emerging trends (e.g., Generative AI, Agentic AI, data platforms) and incorporate relevant advancements into engagements
• Help shape the practice’s point of view and ways of working
• Support business development efforts, including proposals, SOWs, and client presentations
• Own identification and progression of expansion opportunities within active engagements
• Translate client needs and workshop outcomes into follow-on initiatives and multi-phase programs
• Partner with senior leadership to position and scope expansion opportunities
• Awareness of cloud platforms (Azure, AWS, GCP), data pipelines (ETL/ELT, APIs), and analytics/BI tools
• Understanding of data and AI governance concepts, including policy, risk, and compliance
• Understanding of how data and AI systems integrate within enterprise environments (no coding required)

Manager, Data & AI Strategy

• Own end-to-end delivery of client engagements, ensuring high-quality, on-time outcomes
• Serve as the primary point of contact and face of the engagement
• Build strong, trust-based relationships and act as a true partner to client stakeholders across business and technical teams
• Identify gaps between business ambition and current data/AI capabilities, and clearly articulate implications and risks
• Design and lead client workshops across AI strategy, use case prioritization, governance, and operating model design
• Craft and deliver compelling, executive-level narratives that guide stakeholders from problem definition through to clear actions and outcomes
• Drive discussions that lead to alignment, decisions, and commitment to action
• Present and defend strategic recommendations to client stakeholders
• Challenge assumptions and guide clients toward pragmatic, value-driven decisions
• Translate ambiguous client needs into structured problem statements, rigorous workplans, and high-impact deliverables
• Lead the creation and delivery of comprehensive strategic artifacts, including:
• Maturity assessments, gap analyses, and actionable recommendations
• Use case inventories and solution roadmaps
• Data/AI operating models, governance frameworks, and prototype concepts
• Distinguish between foundational investments and advanced AI initiatives to ensure pragmatic sequencing, realistic phasing, and sustainable adoption
• Guarantee that all final outputs are highly actionable, prioritized, and explicitly aligned to measurable business value
• Lead identification and prioritization of AI and data use cases aligned to business objectives
• Define evaluation frameworks (value, feasibility, data readiness, risk)
• Drive the creation of lightweight demonstrations, prototypes, and proofs-of-concept to bring data and AI solutions to life
• Partner with engineering and technical teams to develop and refine prototypes of data and AI solutions
• Use prototypes and demos to inform decision-making, de-risk initiatives, and strengthen client confidence
• Direct and mentor Consultants, providing clear guidance, feedback, and coaching
• Structure workplans, allocate resources, and manage timelines and deliverables
• Review and elevate outputs to ensure quality, clarity, and consistency
• Foster a high-performance, accountable team environment
• Contribute to the evolution of Data & AI advisory frameworks, methodologies, and accelerators
• Develop reusable assets and structured approaches that improve delivery consistency and speed
• Monitor emerging trends (e.g., Generative AI, Agentic AI, data platforms) and incorporate relevant advancements into engagements
• Help shape the practice’s point of view and ways of working
• Support business development efforts, including proposals, SOWs, and client presentations
• Own identification and progression of expansion opportunities within active engagements
• Translate client needs and workshop outcomes into follow-on initiatives and multi-phase programs
• Partner with senior leadership to position and scope expansion opportunities
• Awareness of cloud platforms (Azure, AWS, GCP), data pipelines (ETL/ELT, APIs), and analytics/BI tools
• Understanding of data and AI governance concepts, including policy, risk, and compliance
• Understanding of how data and AI systems integrate within enterprise environments (no coding required)

Manager, Data – AI Strategy

Backend Engineer

• Create and maintain ASP.NET web applications with a microservice backend.
• Collaborate with team members and other groups as part of a multi-disciplinary agile team (Product, Delivery, UX/UI, DevOps, Architecture, Infra, QA).
• Support software architecture design through research and tech spikes.
• Document, revise, and augment engineering decision logs, and architecture / technical knowledge base.
• Participate in design reviews, peer code reviews, spring review with code demos, sprint planning and retros.
• Assist with estimating and breaking down components into individual work items, project and release planning, and deployments.

.Net Developer

• Define project scope, objectives, and deliverables in collaboration with stakeholders and senior management
• Develop detailed project plans, timelines, resource allocation, and budgets
• Manage day-to-day project activities, monitor progress, and adjust plans as necessary
• Lead and motivate project teams, providing guidance and support throughout the project lifecycle
• Facilitate regular project meetings and communication among team members and stakeholders
• Identify, assess, and mitigate project risks and issues
• Track project milestones and deliverables, preparing and presenting regular status reports
• Ensure all projects are delivered on time, within scope and budget
• Manage changes to project scope and schedule using appropriate verification techniques
• Foster a collaborative and positive team environment

Senior Project Manager

Full-stack Engineer

• TELUS Digital is seeking a Senior Software Developer to join our Digital Billing Engineering DevOps team.
• This is a critical role focused on supporting, transforming, and building continuity for our Kenan Application Support environments (specifically handling KGW and its migration/replacement with EBG).
• The successful candidate will work closely with existing domain experts to accelerate learning, manage data transformation logic, and support high-security Government of Canada (GoC) billing contracts.

Senior Software Developer

Developer Relations

• Design and implement solutions using Salesforce Communications Cloud (Managed Package / Vlocity).
• Develop and configure OmniStudio components: OmniScripts, Integration Procedures, DataRaptors, FlexCards.
• Customize and extend Salesforce using Apex, Lightning Web Components (LWC), and Flows.
• Implement product modeling using EPC (Enterprise Product Catalog) and CPQ (Configure, Price, Quote).
• Integrate Salesforce with external systems using REST/SOAP APIs.
• Work with Order Management, Assets, and Product Lifecycle processes.
• Participate in solution design discussions and provide technical recommendations.
• Perform code reviews, unit testing, and deployment using CI/CD pipelines.
• Collaborate with Business Analysts, Architects, and QA teams.
• Support production deployments and resolve issues.

Omni Studio Developer, CPQ, Agentforce Experience

Cloud Engineer

• Lead end-to-end solution architecture for Education Cloud implementations and digital transformation initiatives.
• Serve as a strategic advisor to client stakeholders, including executive leadership, business sponsors, and technology teams.
• Facilitate discovery workshops to understand institutional objectives, business processes, operational challenges, and future-state requirements.
• Develop scalable solution designs, architecture diagrams, data models, and implementation roadmaps aligned with Salesforce and industry best practices.
• Architect Education Cloud solutions spanning Recruitment and Admissions, Student Success, Advising, Academic Operations, Advancement, Alumni Relations, and Constituent Engagement.
• Define enterprise data architecture, governance frameworks, security models, and integration strategies across Salesforce and external systems.
• Lead data migration strategy and planning efforts, ensuring successful transition from legacy student information systems and related platforms.
• Provide architectural oversight throughout the project lifecycle, including design reviews, configuration guidance, testing strategy, deployment planning, and post-production optimization.
• Collaborate with technical architects, developers, business analysts, and project managers to ensure solution alignment and delivery excellence.
• Drive adoption of Salesforce platform capabilities including Flow, OmniStudio, Experience Cloud, Data Cloud, and other Education Cloud components.
• Contribute to pre-sales activities, solution estimation, proposal development, and client presentations.
• Mentor consultants and solution engineers while promoting architectural standards, delivery methodologies, and best practices across the Salesforce Practice.

Principal Consultant – Education Cloud Architect

Strategy

• Tell the story of transformation: You'll craft the narratives, such as newsletters, microsites, executive briefings, and business cases, that make our CXAI ambition tangible and exciting. You simplify the complex, turn data into decisions, and make people feel the urgency of where we're going.
• Drive measurable outcomes: You're fluent in the metrics that matter: CSAT, first contact resolution, cost to serve, revenue per contact. You connect every technology investment to movement in those numbers and build ROI frameworks that secure stakeholder buy-in at the highest levels.
• Lead the transformation roadmap: You'll own the CXAI transformation roadmap end-to-end, including critical paths, deployment sequencing, adoption milestones, and build the scorecards and prioritization tools that keep a global organization focused and accountable.
• Build capability at scale: You design leadership programs, offsites, and team experiences that shift culture and build AI-first capabilities across the organization. You manage headcount planning, performance scorecarding, and direct budget ownership for the CX AI business unit, making investment decisions alongside senior leadership and holding accountability for how resources translate to outcomes.
• Lead by example: You don't just plan the AI transformation, but you demonstrate it. You build templates and program practices that put our own CXAI tools to work, proving from the inside what an AI-powered organization actually looks like.

Director, Strategy – Change Enablement, CXAI

Customer Success Manager

• Serve as a key client success leader in the Amazon client account
• Build and maintain trusted relationships with Amazon's AI, data science, product, and operations leaders
• Lead executive business reviews and strategic planning sessions
• Map the full Amazon organization to identify opportunities
• Act as Amazon's internal advocate, surfacing insights
• Develop deep expertise across TELUS Digital's Data capabilities
• Guide Amazon stakeholders in designing scalable data programs
• Partner with Solutions Architecture and Delivery teams

Client Success Director

General

• Act as a strategic bridge between business goals and AI capabilities
• Design AI-driven CX strategies and advise on pilot programs
• Partner with Product, CCaaS, and Data & AI teams to build functional business cases
• Identify tech/AI opportunities to enhance customer experience
• Provide input into the CX Product roadmap
• Translate tech architecture visions into actionable deployment plans
• Stay up-to-date on AI trends and inspire clients

Associate Principal, CX Application Strategy

• Act as a strategic bridge between business goals and AI capabilities, defining UX features, AI agent-assist tools, and the success metrics for modern deployments.
• Move clients beyond theoretical frameworks by designing AI-driven CX strategies and advising on pilot programs and implementation readiness.
• Partner with Product, CCaaS, and Data & AI teams to design high-level architecture visions and build functional, strategic business cases for both modern AI tools and foundational contact center tech.
• Identify, quantify, and prioritize tech/AI opportunities to radically enhance the customer experience, improve operational agility, and drive ROI.
• Provide continuous, hands-on input into the CX Product roadmap, feeding new, cutting-edge product features back into CX strategy engagements.
• Translate complex tech/AI architecture visions into actionable deployment plans and collaborate with cross-functional teams to keep go-to-market and sales collateral relevant.
• Stay relentlessly up-to-date on emerging tech/AI trends in the contact center space (e.g., autonomous AI agents, LLM advancements), inspiring clients and internal teams with the "art of the possible."

• Lead the implementation and ongoing enhancements of SAP Public Cloud OTC processes in the professional services industry.
• Collaborate with cross-functional teams, including business stakeholders, technical teams, and consultants, to gather requirements, design solutions, perform system configuration and ensure successful delivery.
• Provide subject matter expertise on SAP Project Systems, subscription billing, pricing, solution and sales order management and revenue recognition areas.
• Analyze business processes, identify areas for improvement, and recommend solutions to optimize order-to-cash processes.
• Configure and customize the SAP Public Cloud OTC module to meet business requirements.
• Conduct system testing, support user acceptance testing, and facilitate smooth deployments.
• Provide guidance and support to the project team, ensuring adherence to project timelines and deliverables.
• Train end-users on SAP Public Cloud OTC processes and functionalities.
• Troubleshoot and resolve issues related to order-to-cash processes and system configurations.
• Stay up-to-date with industry best practices, trends, and advancements in SAP Public Cloud OTC functionality.

Applications Development Technical Lead

• Identify and resolve mid to high complexity configuration issues throughout the client implementation/ongoing process.
• Execute assigned tasks of Defect analysis, configuration, and unit testing.
• Develop and execute Unit test plans, test cases, and test scripts.
• Defect Fixes for Mid to High complexity – Forms & Letters | Web Config components.
• Demonstrate Task level ownership for assigned work.
• Participate in Ideas of process automation.
• Timely communication to Lead and Onshore Counterpart.
• Follow Standard Operating Procedure and leverage knowledgebase acquired during ILT and material available.
• Adherence to Process Model.
• Work alongside with senior members or individually (as required) to assist in smooth integration/transition of process.

Applications Development Lead

DevOps Engineer

• Lead the architecture and maintenance of the infrastructure and reliability practices that keep AI-powered systems performant, observable, and trustworthy under real production load, including redundancy, latency, and cost management.
• Help define SLOs/SLIs for AI-powered services, including latency and quality SLOs for LLM inference paths, and build the error-budget discipline that lets product teams ship fast without breaking trust.
• Design scalable, secure infrastructure for distributed AI services, event-driven workloads, and multi-LLM-provider integrations.
• Build metrics, tracing, and alerting that surface not just 'is it up' but 'is it behaving correctly' for LLM-powered features (drift, regression, hallucination rates, tool-call failures).
• Define and enforce PRR-style standards across teams launching new AI products and features.
• Mentor engineers, drive architecture reviews, and shape the broader engineering culture around reliability.