Data Delivery Manager

Location: This hybrid role requires 3 days on-site at our Burnaby, BC office and 2 days remote per week.

Welcome to Specsavers – where we’re not just about eyecare and eyewear, but changing lives through better sight. Ranked the 5th Best Workplace™ in Canada and 12th globally by Great Place to Work®, we’re proud of our optometrist-owned model that makes high-quality, eyecare and eyewear accessible to all Canadians.

Founded 40 years ago in the UK by visionary husband and wife optometry duo Doug and Mary Perkins, Specsavers has remained privately owned since day one. Today, we are a $7.8 billion global business with over 45,000 colleagues across more than 2,700 retail optical locations.

In Canada, our support office is based in Burnaby, BC. Since entering the market in 2021, we’ve been scaling rapidly, now with over 270 locations nationwide. With advanced clinical equipment and a wide range of affordable, high-quality eyewear, we’re transforming the way Canadians experience eyecare.

If you’re passionate about making a difference and want to be part of a values-driven organization, join us as we continue to grow. Together, we can change lives through better sight.

As a Data Delivery Manager, you’ll lead the successful delivery of data products and services that support Specsavers’ strategic goals and data transformation journey. Working across a variety of business functions, you’ll partner with stakeholders, technical teams, and product owners to drive high-quality outcomes, manage delivery risks, and ensure value is delivered efficiently. You’ll foster a culture of continuous improvement while providing leadership, structure, and visibility across complex data initiatives.

• Manage the end-to-end delivery of data projects and initiatives across multiple business areas, including retail, clinical, and supply chain.
• Lead one or more data-focused delivery teams to ensure successful, high-quality delivery aligned with business and data strategy objectives.
• Develop, maintain, & execute delivery plans while effectively balancing capacity, demand, timelines, & priorities.
• Collaborate with product owners, architects, technical teams, and stakeholders to refine & prioritize backlogs.
• Facilitate delivery meetings and Agile ceremonies, promoting effective team collaboration and transparency.
• Monitor delivery performance, milestones, resource allocation, risks, dependencies, & unplanned work.
• Provide regular reporting & stakeholder communications on project status, progress, capacity, & risks.
• Manage changes in scope, requirements, budgets, & timelines while maintaining alignment with business objectives.
• Ensure solutions are appropriately tested, including functional, regression, user acceptance, performance, & end-to-end testing.
• Support compliance with information security, data privacy, regulatory, & governance requirements, including GDPR.
• Work closely with data architects and technical teams to align delivery outcomes with enterprise architecture standards.
• Drive continuous improvement initiatives by evaluating delivery practices, methodologies, & emerging technologies.

• 2+ years of experience delivering data products and services within a matrixed or cross‑functional environment.
• Proven track record of successfully delivering data projects in fast‑paced, complex, and evolving environments.
• Experience managing medium‑to‑large projects or portfolios of smaller initiatives.
• Experience using both Agile and Waterfall delivery methodologies.
• Strong stakeholder management, communication, facilitation, & relationship‑building skills.
• Ability to identify, manage, & mitigate delivery risks, issues, & dependencies.
• Experience working with cross‑functional teams including product, technical, architecture, & business stakeholders.
• Strong organizational, planning, prioritization, & problem‑solving capabilities.
• Ability to navigate ambiguity, adapt to changing priorities, and remain calm under pressure.
• Understanding of data platforms and technologies such as Databricks, Azure Data Factory, & Power BI.
• Foundational knowledge of data warehousing and data modelling concepts.
• Awareness…