Supports planning and organization of research projects in Human AI - Interaction at Fraunhofer Institute. Involves interdisciplinary teamwork and various research methodologies.
About the role
- Director of Data & AI at Kyndryl leading data and AI transformation programs for top Canadian enterprises. Partnering with senior executives to define strategies and deliver solutions.
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 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 to co-create and deliver modern AI solutions.
- Mentor team members and cultivate a high-performing, innovation-driven culture.
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.
Benefits
- Employee learning programs
- Access to certifications (Microsoft, Google, Amazon, Skillsoft)
- Company-wide volunteering and giving platform
- Opportunities for career growth and hands-on experience
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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