Senior Director, Data & AI

Ness Digital Engineering

. Lead enterprise Data & AI transformation initiatives for strategic clients .

Posted 11/12/2026full-timeCanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in leading enterprise Data & AI transformation initiatives, with a strong focus on developing strategies, driving business growth, and managing complex technology teams. Proven ability to engage with C-suite executives and deliver innovative AI solutions aligned with business objectives.

Highest-signal resume keywords

Data & AI Transformation LeadershipCloud Data ArchitecturesAI/ML Solutions DevelopmentStakeholder ManagementBusiness Growth Strategy

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAnalyticsAI EcosystemsGenAILarge Language Models (LLMs)AI AgentsAgent OrchestrationTransformation RoadmapsBusiness Case DevelopmentProposal Management

Soft Skills

Excellent CommunicationPresentation SkillsStakeholder ManagementCommercial AcumenLeadership

Tools & Technologies

AzureDatabricksSnowflakeAI PlatformsAutomation Tools

Industry Keywords

Digital TransformationEnterprise Data StrategyBusiness OutcomesThought LeadershipC-suite Engagement

Tech Stack

Tools & technologies

AzureCloudSnowflake

About the role

Key responsibilities & impact

Lead enterprise Data & AI transformation initiatives for strategic clients
Work closely with senior business and technology stakeholders to define Data & AI strategies, identify and prioritize opportunities, shape solutions, and provide leadership through execution
Serve as a trusted advisor for CIO, CDO, CAIO and business executives on Data & AI opportunities, priorities and investment decisions
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
Drive newer and innovative opportunities
Partner with the Solutioning Team and Leadership
Contribute to the core delivery leadership team and lead Data & AI engagements
Drive 20% year-over-year business growth within the Data & AI space
Establish Ness as a thought leader within the Data & AI space
Drive adoption of AI/Agentic AI
Drive agreed business outcomes with AI/ML solutions

Requirements

What you’ll need

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