Data & AI Leader - Senior Director - Canada / Hybrid

Ness Digital EngineeringOntario, CanadaHybridFull-timePrincipal, 12–15+ yearsListed 15 hours ago

Apply now

About this 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