Manager of AI and Innovation Communications responsible for content development and media relations for AI and technology. Collaborating across teams to enhance brand messaging and execute communications effectively.
About the role
- Associate Director leading data and AI transformation programs for Canada's enterprises at Kyndryl. Overseeing data platform implementations and driving AI strategy and innovation across organizations.
Responsibilities
- Lead data and AI transformation programs for Canada’s leading enterprises.
- 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.
- 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.
- 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.
- 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.
- 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.
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.
- 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.
Benefits
- flexible, supportive environment where your well-being is prioritized
- opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms
- dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow.
- empathetic, restless learning, and a devotion to shared success.
- Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health
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