AI Enablement Consultant – (Microsoft Copilot)

We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17,000+, and has 58 offices in 22 countries within key global markets.

Our challenge

The AI Enablement Consultant will help Corporate Platforms identify, implement and sustain practical uses of AI across business-as-usual (BAU), operational support and administrative activities. The consultant will enable teams in the US and UK to use Microsoft 365 Copilot, Copilot Cowork and Copilot Studio effectively; build a small portfolio of reusable agents, skills and prompts; and establish the governance, documentation and ownership needed for long-term adoption.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Piscataway, NJ is $135k - $150k/year & benefits (see below).

The Role

Responsibilities:

• Discovery and opportunity assessment
• Work with Corporate Platforms colleagues in the US and UK to map BAU, operational and administrative activities.
• Identify opportunities where AI and automation can save time or improve quality.
• Recognise existing team capabilities that could be enhanced through better access to tools or practical application.
• Prioritise opportunities by business value, effort, risk and readiness.
• Produce and maintain an agreed backlog of AI use cases, recommended tools and proposed owners.
• Enablement and training
• Design and deliver an engaging programme of brown bag sessions, workshops and follow-up clinics.
• Build practical capability in Microsoft 365 Copilot, Copilot Cowork and Copilot Studio using relevant Corporate Platforms scenarios.
• Schedule sessions across US Eastern and UK time zones and record them for future reference.
• Tailor content for both technical and non-technical audiences.
• Establish champions and practical guidance to encourage day-to-day adoption.
• Agent and skill development
• Design, build and publish agents and skills using Copilot Studio and Copilot Cowork.
• Integrate solutions with Microsoft 365 and Power Platform services, including:
• Teams
• SharePoint
• OneDrive
• Outlook
• Power Automate
• Build solutions collaboratively, coaching team members to develop and extend them rather than creating solutions in isolation.
• Develop a curated library of reusable prompts for common Corporate Platforms activities.
• Track adoption, usage and business outcomes.
• Gather user feedback and refine the enablement approach throughout the engagement.
• Promote repeatable AI-enabled ways of working across the team.
• Identify barriers to adoption and recommend practical interventions.
• Ensure all solutions comply with WTW AI governance, licensing and approval requirements.
• Obtain appropriate license-owner approval for Copilot capabilities.
• Apply responsible AI, data protection and information-handling principles to all solutions.
• Account for UK and EU data residency requirements. Anthropic models in Copilot and Copilot Cowork are restricted for UK and EU colleagues because they may process data in the US; their use is opt-in and must take account of client, contractual and regulatory obligations.
• Document governance checkpoints, risks, controls and approval decisions.
• Document agents, skills, prompts, build standards and operating procedures.
• Define named owners and support arrangements for every solution.
• Create practical playbooks and how-to guides that enable the team to operate and extend solutions independently.
• Complete a structured handover before the engagement ends.
• Prioritised AI opportunity assessment and use-case …