Evaluating AI models through audio assessments as a contractor for AI benchmark evaluation project. Designing training data and auditing conversational AI outputs remotely.
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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