Associate Director - Data & AI Consulting

Who We Are 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. 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 an 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 (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. 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. Architecture Design & Technical Leadership Lead the architecture, design, and implementation of enterprise data and AI platforms using cloud-native and hybrid architectures. Define end-to-end architectures that span data ingestion, storage, processing, analytics, ML/AI, and governance. Establish architectural standards, patterns, and reference models for data modernization and AI enablement. Provide technical direction and mentorship to data engineers, ML engineers, and solution developers. 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 management across business and technical domains.

Preferred Qualifications

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