Description

You will bridge the gap between Generative AI technology and enterprise business operations, driving adoption and enabling successful transformation across departments.

This role is on-site.

Responsibilities

• Partner with Finance, HR, Legal, Marketing, and IT stakeholders to identify, prioritize, and validate AI use cases that deliver measurable business value.
• Drive adoption of enterprise AI platforms, including Amazon Q and Microsoft Copilot, by developing role-based playbooks, best practices, and training materials.
• Conduct AI discovery workshops and business process assessments to reimagine workflows and guide users toward appropriate AI solutions based on need, complexity, and security.
• Create demonstrations, proofs of concept, and practical examples that accelerate user adoption and support change management efforts.
• Measure and report on AI adoption rates, productivity improvements, and business impact metrics while collaborating with data, architecture, and security teams.

Required Skills

• 7+ years of experience in consulting, digital transformation, business technology, product enablement, or solution delivery.
• 2+ years of hands-on Generative AI experience using AI tools and platforms in day-to-day business operations.
• Proven ability to translate complex business challenges into practical, secure AI solutions.
• Strong executive presence with the ability to engage senior business stakeholders and serve as a trusted advisor on AI governance and implementation.
• Experience driving organizational change, user adoption, and technology enablement initiatives.
• Excellent communication, facilitation, and presentation skills for leading workshops and requirements discovery sessions.
• Experience working within highly regulated industries or supporting enterprise AI rollout initiatives.

Preferred Skills

• Hands-on experience with Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, Amazon Q/Quick, or AWS Bedrock.
• Understanding of Retrieval-Augmented Generation (RAG), knowledge management, enterprise search, and knowledge graph concepts.
• Knowledge of AI governance, security, compliance, and responsible AI practices, including experience in an AI Center of Excellence.

Key Skills

Education

Any Graduate