Lead Data Strategist (AI)

TL;DR

Lead Data Strategist (AI/Data Architecture): Developing and implementing enterprise-wide data strategies and modern architectures to meet business objectives with an accent on data governance, AI ecosystem integration, and strategic roadmapping. Focus on bridging the gap between business goals and technical execution, designing scalable data-as-a-product frameworks, and leading high-level consultative engagements.

Location: Toronto, Canada (Remote options available)

Salary: $116,000 — $236,000 CAD

Company

A leading global technology consultancy that helps clients solve complex business problems using technology as a key differentiator.

What you will do

• Collaborate with clients to co-create data and technology strategies aligned with their business ecosystem and goals.
• Define a clear vision for enterprises to become data-driven and aligned with overall business strategy.
• Provide technical leadership and subject matter expertise on complex data programs.
• Act as a translator between business, data, and IT stakeholders to communicate strategy to senior leadership.
• Formulate data governance strategies addressing security, privacy, and compliance requirements.
• Create differentiated market assets in data strategy and represent the company at industry forums and conferences.

Requirements

• Extensive experience as a consultant with a track record of creating data strategies that drive business value.
• Solid experience with data platforms, technologies, and modern data architecture approaches.
• Proven ability to engage with senior stakeholders to operationalize enterprise-wide data strategies.
• Demonstrated leadership in guiding technical teams and driving projects to successful completion.
• Expertise in data governance policies, including data lineage, quality checks, and classification.
• Familiarity with AI and ML use cases to influence the design of insight-driven solutions.

Nice to have

• Experience building high-level solution frameworks using paradigms such as data-as-a-product or federated governance.

Culture & Benefits

• Cultivation culture focusing on continuous learning and professional growth.
• High degree of autonomy in defining and developing your own career path.
• Access to numerous development programs and interactive career tools.
• Inclusive community with a strong commitment to fairness and responsible AI use in recruitment.