Data & AI Leader - Senior Director - Canada / Hybrid
- ON, Canada
- Ontario, Canada, Canada
Full-time
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Job details
- Job type
- Full-time
- Experience
- 15+ years of experience in technology, data, analytics, AI or digital transformation.
- Posting language
- English
- Posted
Original job 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
More about this job
Responsibilities
The role involves leading enterprise Data and AI transformation initiatives while serving as a trusted advisor to C-suite executives. You will define strategic roadmaps, identify opportunities for AI integration, and oversee the execution of complex technology solutions.
Requirements
Candidates must possess over 15 years of experience in technology, data, and AI transformation with a proven track record of leading large-scale programs. Strong expertise in cloud data platforms, GenAI, and executive-level stakeholder management is required.
Skills
- Data Strategy
- Artificial Intelligence
- Generative AI
- Cloud Data Architectures
- Data Engineering
- Analytics
- Data Governance
- Machine Learning
- Azure
- Databricks
- Snowflake
- LLMs
- RAG
- AI Agents
- Stakeholder Management
- Business Transformation
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Management & Leadership
- Consulting
- Software
Keywords
- Data & AI
- Transformation
- Strategy
- Cloud Data Architectures
- Azure
- Databricks
- Snowflake
- GenAI
- LLMs
- RAG
- AI Agents
- Data Engineering
- Data Governance
- Machine Learning
- Consulting
- C-suite Engagement
- Business Acumen
- Stakeholder Management
- Digital Transformation
- Automation
- Operating Models
- Technology Leadership
- Enterprise Data
- Analytics
- Agentic AI