Data & AI Leader - Senior Director - Canada / Hybrid

Role Purpose

We are seeking a senior Data & AI leader to lead enterprise Data & AI transformation initiatives for strategic clients. The role will work closely with senior business and technology stakeholders to define Data & AI strategies, identify and prioritize opportunities, shape solutions, and provide leadership through execution.

The individual will bring a strong combination of enterprise data expertise, AI/GenAI knowledge, consulting capability, technology leadership and delivery experience, with the ability to translate emerging technologies into practical business outcomes.

Key Responsibilities:

1. Part of the core delivery leadership team & leader for Data & AI engagements
2. Client Advisory & Executive Engagement
3. Become the trusted advisor for CIO, CDO, CAIO and business executives on Data & AI opportunities, priorities and investment decisions.
4. Help develop transformation roadmaps across data platforms, data engineering, analytics, AI/ML, GenAI and data governance.

1. Define and execute enterprise Data & AI strategies aligned to business priorities and transformation objectives.
2. Identify opportunities to leverage AI and automation to transform business and technology operating models.
3. Driving newer / innovative opportunities to partner
4. Solutioning
5. Team & Leadership

Required Experience & Qualifications

• 15+ years of experience in technology, data, analytics, AI or digital transformation.
• Significant experience leading enterprise-scale Data & AI transformation programs.
• Strong understanding of modern cloud data architectures, data engineering and AI ecosystems.
• Experience with platforms such as Azure, Databricks, Snowflake or equivalent.
• Strong understanding of GenAI, LLMs, RAG, AI agents and agent orchestration.
• Demonstrated experience working directly with C-suite and senior business/technology executives.
• Proven ability to lead complex solutioning and transformation engagements.
• Experience managing large, distributed, multidisciplinary technology teams.
• Strong commercial and business acumen, including experience with proposals, business cases and large transformation engagements.
• Excellent communication, presentation and stakeholder-management skills.

Key Success Measures

• 20% yoY Business growth within Data & AI space
• Ness acknowledged as thought leader within Data & AI space (CSAT & NPS survey)
• Drive adoption of Ai/Agentic AI (nos -TBD)
• Drive agreed business outcomes with AI/ML solutions