Associate Vice President driving AI operations and observability strategies at TD Bank. Leading transformation for enterprise technology operations to enhance resilience and incident intelligence.
About the role
- AI Enablement Intern supporting teams at CDW in exploring and applying AI solutions effectively. Hands-on role in a cross-functional internship for students eager to learn about AI.
Responsibilities
- Support teams across the organization as they explore, adopt, and responsibly apply AI, automation, and analytics tools
- Support the design, testing, and documentation of AI‑enabled workflows, agents, dashboards, and automation solutions
- Assist with building prompt libraries, Copilot workbooks, and reusable automation assets to support common business tasks
- Help identify and deliver “quick win” automations (e.g., reporting, data entry, document generation, process handoffs)
- Support analytics initiatives including financial modeling, spend analysis, pipeline and renewals tracking, investment tracking, and operational reporting
- Assist with dashboards and reporting using tools such as Power BI, Salesforce reports, or AI‑generated summaries
- Contribute to data readiness and integrity efforts by helping standardize files, improve metadata, clean legacy content, and support governance practices that enable effective AI usage
- Document current‑state workflows and identify opportunities for automation across areas such as Sales operations, proposals, SOWs, and renewals
- Support AI‑assisted documentation, QA, and report generation to reduce manual effort and improve consistency
- Assist with AI‑enabled customer success motions, journey orchestration, and operational signals
- Contribute to marketing, ecommerce, and partner initiatives that leverage AI for seller productivity, content discovery, and digital experience improvements
- Help create training materials, demos, user guides, and adoption resources for AI tools and automations
- Document use cases, best practices, success stories, and lessons learned to support organizational learning
- Promote responsible, transparent, and ethical use of AI in alignment with CDW guidelines
Requirements
- Currently enrolled in a full-time post‑secondary program, with the expected graduation date of Dec 2026 or May 2027
- Strong curiosity about AI, automation, and analytics and how they can be applied in real business environments
- Comfort working with data, documentation, and process‑oriented work
- Strong communication skills and the ability to collaborate with both technical and non‑technical partners
- Organized, adaptable, and able to manage multiple tasks or projects
- A learner’s mindset with a willingness to experiment, ask questions, and iterate
- Familiarity with tools such as generative AI, low‑code/no‑code platforms, analytics, automation, or business systems is an asset
Benefits
- Exposure to real, high-impact AI and automation initiatives across a large, complex organization
- Meaningful work tied to measurable business outcomes and operational efficiency
- Mentorship and collaboration with professionals across business and technology teams
- Opportunities to build practical experience in AI enablement, analytics, automation, and change management
- A supportive, inclusive culture that values learning, innovation, and teamwork
- A strong early-career foundation and potential pathway to future opportunities at CDW
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