Principal, Data & AI Integration

In this role you will shape how Mintel’s content and data are delivered to client ecosystems, ensuring usable, trustworthy, and Mintel-branded results in environments you don’t control. You’ll spend substantial time with clients to uncover their workflows, then translate findings into how integrations should return data to meet outcomes. You’ll work closely with Data Product, Engineering, and Commercial teams to standardize where possible and tailor where necessary, driving a scalable integration experience that accelerates client value.

• remote/hybrid working
• personal development encouragement
• social events
• generous holiday allowance with buy-back
• birthday day off
• 2 volunteering days per year

• Understand client workflows and outcomes through discovery and observation
• Identify patterns to standardize while recognizing when customization is needed
• Build a library of real use cases and representative scenarios to inform product decisions
• Own the integration-facing contract details (data exposed, naming, description, and value)
• Set integration experience standards and ensure new capabilities align with discovery
• Collaborate with Data Product and Engineering to translate client evidence into roadmaps and improvements
• Test integration behavior in client-like environments before/after changes
• Diagnose issues across integration definitions, returned outputs, data, and client implementations
• Provide practical guidance to clients and help Sales/Account Management explain integration capabilities
• Contribute to Mintel’s thought leadership on integration experiences

• Consultative client discovery mindset
• Technical fluency with APIs, authentication, data exchange, AI assistants, MCP
• Ability to read and test integration outputs as a client would
• Information design for data (not UI) to ensure trust
• Product judgment balancing client needs, data constraints, and technical realities
• Influence without authority across multiple teams and with clients
• Experience in API/platform/data-sharing/integration products (preferred)
• Exposure to AI-assisted workflows, enterprise search or knowledge platforms (preferred)
• Development of standards or case studies adopted by others (preferred)

• Excellent communication with technical and non-technical audiences
• Strong collaboration across cross-functional teams
• Curiosity and client-first mindset
• APIs
• MCP
• AI assistants