Data & AI Leader - Senior Director - Canada / Hybrid

@ Ness Digital Engineering

Toutes ses offres

Canada

Temps plein15+ ans d’expérience

Postuler

SIGNAUX

En bref

Ness Digital Engineering is hiring a Senior Director for Data & AI to lead enterprise Data & AI transformation for strategic clients. The role advises CIO, CDO, CAIO and business executives, shapes roadmaps across data platforms, AI and GenAI, and leads large distributed teams. It is a full-time hybrid role in Canada requiring 15+ years of experience.

Responsabilités :

Define and execute enterprise Data & AI strategies
Advise CIO, CDO, CAIO and business executives
Develop transformation roadmaps across data and AI
Identify AI and automation opportunities
Lead solutioning and new business partnerships

Résumé des exigences :

15+ years in technology, data, analytics, AI or digital transformation
Experience leading enterprise-scale Data & AI programs
Knowledge of Azure, Databricks, Snowflake or equivalent
Understanding of GenAI, LLMs, RAG and AI agents
Experience working with C-suite executives
Commercial acumen for proposals and business cases

Outils et compétences

Azure Databricks Snowflake

Source et dates

Site carrière / système de candidatures · jobvite

Date publiée par l’employeur: 2026-09-20
Première détection par notre source: 2026-11-11
Mise à jour du dossier source: 2026-11-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

Niveau	Senior
Domaine	Opérations
Expérience	15 an(s) et plus
Gestion d’équipe	Oui
Heures par semaine	40 (estimé)
Milieu de travail	Bureau
Position	Surtout assis
Exigences physiques	physique faible · ordinateur élevé

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Ness Digital Engineering

Toutes ses offres

Champ	Valeur
Offres sur Jobsy	2

Description

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