Senior Data&AI Consultant, Winnipeg

Senior Data&AI Consultant 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.

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.

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.

This position requires the employee to work on a regular basis with Kyndryl stakeholders located in other Canadian provinces, the United States, or internationally where English is the common language, making knowledge of the English language a requirement for this position in addition to fluency in French.

Preferred Qualifications

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.

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