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Data & AI Transformation Leader

Job in Toronto, Ontario, M5A, Canada
Listing for: WomenTech Network
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Data Science Manager, Cloud Computing
Job Description & How to Apply Below

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

About Kyndryl

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.

The Role

We are seeking a Director or Associate Director of Data & AI 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.

Key Responsibilities

Client & Business Leadership

  • 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.
  • Data Platform & AI Delivery Leadership

  • Lead design and implementation of modern data platforms (, 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.
  • AI Strategy & Innovation

  • 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.
  • Practice Growth & 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.
  • Your Future at Kyndryl
    Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

    Who You Are

    Required Experience & Skills

  • 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…
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