Director- Data COE - DOTComm (Digital-Omnichannel Transformation & Commerce)

Job Description

Join to apply for the Director- Data COE - DOTComm (Digital-Omnichannel Transformation & Commerce) role at TELUS

Description

Join the DOTComm team at TELUS, where we're on a mission to reimagine omnichannel experiences and make digital the channel of choice. We're focused on creating seamless, personalized, and intuitive experiences that drive digital engagement, e-commerce growth, and conversion improvement. Through our customer‑centric approach, we aim to optimize investment and improve our customer’s ability to seamlessly interact across all of our touchpoints. As part of the Consumer Channels organization, our team is guided by a vision to drive market leadership and unlock the potential in our communities, customers, and team members. If you're passionate about digital innovation and customer experience, we'd love to have you join our team!

This is a fully remote position, allowing you to work from anywhere.

What You'll Do

Reporting to the VP, DOTComm, you will lead the transformation of TELUS's data management capabilities by establishing and directing a centralized Data Centre of Excellence. Drive strategic data governance, architecture, and stewardship to enable seamless, hyper-personalized customer experiences while supporting data-driven decision-making across Marketing, Customer, and Channel functions.

Key Responsibilities

Strategic Leadership & Transformation

• Establish and lead a centralized Data COE driving omni-channel transformation and data-driven culture across CMC functions


• Develop comprehensive data strategy aligned with business objectives and provide strategic guidance on data product prioritization

Data Governance & Architecture

• Design unified data architecture and governance frameworks, consolidating fragmented systems and eliminating platform duplication


• Implement Data Product Owner framework across key domains (Rep Interaction, CX, Campaign, Transaction) with clear accountability structures

Team Leadership & Development

• Lead and develop 25+ data professionals including architects, analysts, and stewards while fostering cross-functional relationships with CIO, CPO, and business units


• Build Data Product Owner capabilities and establish talent development programs across the organization

Operational Excellence & Analytics

• Oversee end-to-end data lifecycle from collection to visualization, ensuring standardized practices and quality metrics


• Direct Value Management Team to analyze transactional data and deliver actionable insights for revenue/margin optimization and strategic decision-making

Qualifications

• Requires a Bachelor's degree in Data Science, Computer Science, Engineering, or Business (Master’s preferred) with 10+ years in data management/analytics and 5+ years leading large data teams


• Must have proven experience establishing and scaling data governance frameworks in large organizations with deep understanding of data quality management and compliance


• Needs expertise with cloud data platforms (GCP, AWS, Azure), modern data architecture patterns (data lakes, data mesh), and familiarity with visualization tools and ML/AI capabilities


• Requires experience with enterprise data architecture, platforms, modern data stack technologies, and preferably background in telecommunications or data‑intensive industries


• Must demonstrate ability to lead transformation initiatives, manage cross-functional stakeholders, and build high‑performing teams in matrix organizations


• Strong business acumen to translate technical capabilities into business value and excellent communication skills for executive-level presentations

Seniority level

• Not Applicable

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting, Telecommunications, and Utilities