Reads like a Data Leadership role: running a data team.
Remote, Ontario · Toronto, ON · Remote, British Columbia · Vancouver, BC · Ontario, Canada
Open 4 months, first seen by us 146 days agoLocation type: RemoteFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: DS Operations › TELUS Digital Solutions › Data, AI & Cloud › Data, AI & Cloud DeliveryFrom the employer’s posting
Will you now or in the future require the company to provide visa sponsorship (or a work permit) to work in this country of employment?From the employer’s application form
Set the multi-year vision for the Data Engineering Practice
Own the practice's full P&L, pipeline, pricing and margin
Build senior relationships with Google Cloud partner teams and client executives
Advise client C-suite executives on data strategy and AI adoption
Invest in reusable IP, accelerators and delivery assets
Define the multi-year vision for the Data Engineering Practice
Own the full P&L, including pipeline, pricing, delivery margin, and revenue growth
Build and sustain senior relationships with Google Cloud partner teams and client executives
Serve as a strategic advisor to client C-suite executives, helping them define data strategy, navigate AI adoption
Drive investment in reusable IP, data accelerators, and delivery assets
You will shape how we help clients move from data ambition to durable, AI-ready infrastructure.
In the employer’s words · Read in context · Company website ↗
Open 4 monthsWe first saw this posting 146 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 146
Up longer than most. Similar jobs usually come down between day 8 and day 57.
Well past TELUS Digital’s usual: its jobs come down by about day 16.
From 9,245 similar postings that came down, and 8 of TELUS Digital’s. Coming down is not always a hire.
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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TELUS Digital's Data, AI & Cloud (DAIC) practice is the multidisciplinary engine behind enterprise AI, blending boutique innovation with the breadth of a global services portfolio to help organizations architect, scale, and secure their transformations. Spanning our full family of specialized capabilities, the DAIC practice delivers end-to-end solutions across AI Advisory, AI Solutions, Data & AI Platforms, and Cloud Transformation. As a premier Google Cloud partner, our Cloud practice is at the forefront of helping enterprises adopt and scale on Google Cloud infrastructure: delivering complex engineering, deployment, and migration programs for some of the largest organizations in Canada and beyond. The Director & Practice Lead, Data Engineering will define and own the Data Engineering Practice along with its market positioning, P&L, talent, and the quality of work we deliver for clients. This role is for someone who has led data and AI practices before, understands how to turn messy enterprise data estates into strategic assets, and earns trust with C-suite executives through genuine expertise. You will shape how we help clients move from data ambition to durable, AI-ready infrastructure.
- 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.
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Welcome to TELUS Digital — where innovation drives impact at a global scale. As an award-winning digital agency and the digital division of TELUS, one of Canada’s largest telecommunications providers, we design and deliver transformative customer experiences through cutting-edge technology, agile thinking, and a people-first culture.
With a global team across North America, South America, Central America, Europe, Africa, and APAC, we offer end-to-end expertise across: Digital Product Strategy & Innovation, Digital Marketing Services, Web & Mobile App Development, Data & AI, Cloud Engineering, and Enterprise Technology Modernization.
From mobile apps and websites to voice UI, chatbots, AI, customer service, and in-store solutions, TELUS Digital enables seamless, trusted, and digitally powered experiences that meet customers wherever they are — all backed by the secure infrastructure and scale of our multi-billion-dollar parent company.
Our Director & Practice Lead, Data Engineering will operate remotely in Canada OR be based out of either our Toronto, ON or Vancouver, BC office locations.
TELUS Digital's Data, AI & Cloud (DAIC) practice is the multidisciplinary engine behind enterprise AI, blending boutique innovation with the breadth of a global services portfolio to help organizations architect, scale, and secure their transformations. Spanning our full family of specialized capabilities, the DAIC practice delivers end-to-end solutions across AI Advisory, AI Solutions, Data & AI Platforms, and Cloud Transformation.
As a premier Google Cloud partner, our Cloud practice is at the forefront of helping enterprises adopt and scale on Google Cloud infrastructure: delivering complex engineering, deployment, and migration programs for some of the largest organizations in Canada and beyond.
The Director & Practice Lead, Data Engineering will define and own the Data Engineering Practice along with its market positioning, P&L, talent, and the quality of work we deliver for clients. This role is for someone who has led data and AI practices before, understands how to turn messy enterprise data estates into strategic assets, and earns trust with C-suite executives through genuine expertise. You will shape how we help clients move from data ambition to durable, AI-ready infrastructure.
This role will have four core anchor responsibilities:
Strategy: Set the practice vision and align Data & AI capabilities to where enterprise demand is heading.
P&L: Own revenue targets, margin, and growth while being accountable for the practice's full commercial performance.
Talent & Culture: Build a practice where data-driven thinking, innovation, and engineering rigour are the baseline.
Client Impact: Act as a trusted advisor to enterprise CxOs navigating data strategy, AI adoption, and governance.
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.
12+ years in data or AI consulting, including at least 3–5 years in a practice leadership or executive role, not just senior delivery or individual contribution.
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.
At TELUS Digital, we are proud to be an equal opportunity employer and are committed to creating a diverse and inclusive workplace. All aspects of employment, including the decision to hire and promote, are based on applicants’ qualifications, merits, competence and performance without regard to any characteristic related to diversity.
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Ontario, Canada
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