Role: Product Design Lead
Objective:
Design an Azure-based AI platform that helps private equity teams unify fragmented information, automate insights, and support decisions across investment and portfolio workflows.




• Product experience direction
• AI-assisted workflows for insight discovery
• UX patterns for complex investment data
• Collaboration with product, engineering, and business teams
• Scalable interaction patterns across platform modules
Role: Design Strategy Lead
Objective:
Create UX patterns that help business users move from dense data, dashboards, and fragmented workflows to clear actions and confident decisions.



• Workflow simplification for enterprise users
• Dashboard and insight experience design
• Data-to-action interaction patterns
• Stakeholder alignment across product and delivery teams
• Design system thinking for repeatable patterns
AI should make the product easier to understand, not harder to use.
Users need to know where insights come from, why they matter, and how confident they should be.
Enterprise users need clear control points, especially when decisions involve risk, money, operations, or customers
Strong enterprise products need reusable UX patterns, shared logic, and consistent interaction models.
Help teams define workflows, interaction models, and user journeys before moving into screens or features.
Turn dense information, dashboards, and business rules into experiences users can understand, trust, and act on.
Create design patterns, UX frameworks, and system logic that help teams scale product experiences with consistency.