Senior Data & AI Consultant

Kyndryl • Montreal, QC

11h • Hybrid

About The Position

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

Kyndryl is a global leader in technology infrastructure and services, helping organizations modernize and transform through data, AI, and cloud. Our Data & AI Practice partners with clients to unlock business value through intelligent use of data, advanced analytics, and applied AI. We work across the entire transformation journey — from vision and strategy through implementation and scaling — to deliver real business outcomes.

We are seeking a Senior Data & AI Consultant to lead data and AI transformation programs for Canada’s leading enterprises. This role requires a unique blend of business acumen, technical depth, and leadership capability. You will partner with C-suite and senior executives to define data and AI strategies, lead teams in building modern data platforms, and deliver end-to-end solutions spanning machine learning, generative AI, and emerging agentic AI applications. You will drive both business growth and delivery excellence, ensuring Kyndryl’s Data & AI capabilities are positioned as a trusted enabler of business transformation.

Requirements

• 10+ years of experience leading data, analytics, and AI transformation programs within consulting, technology services, or enterprise organizations.
• Proven experience building and modernizing data platforms on cloud ecosystems (Azure, AWS, or GCP).
• Strong expertise in machine learning, generative AI (LLMs, RAG, fine-tuning), and emerging agentic AI applications.
• Deep understanding of data strategy, architecture, governance, and engineering practices.
• Demonstrated success in engaging business stakeholders and translating AI innovation into measurable business outcomes.
• Strong sales and client engagement skills — ability to define value propositions and lead executive discussions.
• Excellent communication, executive presence, and stakeholder management across business and technical domains.
• Knowledge of the English language is a requirement for this position in addition to fluency in French.

Nice To Haves

• Experience in one or more industries such as Financial Services, Public Sector, Utilities, or Telecommunications.
• Understanding of modern data architectures (data mesh, data fabric, lakehouse) and operational frameworks (MLOps/LLMOps).
• Hands-on familiarity with AI ecosystems and tools (Azure OpenAI, AWS Bedrock, GCP Vertex AI, Databricks, Snowflake).
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or Business.
• Prior consulting or practice leadership experience at a global technology or professional services firm.

Responsibilities

• Build trusted relationships with senior business and technology leaders to drive data and AI transformation agendas.
• Translate client challenges into actionable data and AI strategies that deliver measurable business value.
• Partner with account teams to identify, shape, and close new Data & AI opportunities.
• Lead design and implementation of modern data platforms (e.g., lakehouse, data fabric, data mesh) leveraging cloud-native architectures and hyperscaler technologies.
• Oversee delivery of end-to-end engagements spanning data engineering, machine learning, generative AI, and intelligent automation.
• Ensure engagement quality, business alignment, and client satisfaction across advisory and implementation phases.
• Define enterprise AI strategies, including adoption of Generative AI and Agentic AI to enhance decision-making, operations, and customer experiences.
• Lead initiatives to operationalize AI through MLOps, LLMOps, and governance frameworks.
• Drive innovation through accelerators, reusable assets, and reference architectures that showcase Kyndryl’s technical leadership.
• Collaborate with hyperscaler and ecosystem partners (Microsoft, AWS, Google Cloud, Databricks, Snowflake) to co-create and deliver modern AI solutions.
• Mentor team members and cultivate a high-performing, innovation-driven culture.
• Contribute to thought leadership, go-to-market offerings, and internal capability building.

Benefits

• flexible, supportive environment where your well-being is prioritized and your potential can thrive
• Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health
• access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior