YUGENOX·JOBS

Data & AI Leader - Senior Director - Canada / Hybrid

Ness Digital Engineering · Ontario, Canada, Canada

hybridFull-timeCOGS Engineering (Regional Delivery and Professional Services)

About the role

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:

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

- Define and execute enterprise Data & AI strategies aligned to business priorities and transformation objectives. - Identify opportunities to leverage AI and automation to transform business and technology operating models. - Driving newer / innovative opportunities to partner - Solutioning - 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

Text as published by Ness Digital Engineering. We don't edit postings; apply and ask questions on the employer's site.

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Posted
Nov 11, 2026 (1 day ago)
First seen by us
Nov 12, 2026
Still listed
Nov 12, 2026
Source
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