- Design web and mobile interfaces for financial and real estate platforms - Create user flows, wireframes, prototypes, and high-fidelity designs - Design dashboards that simplify complex financial data - Improve usability through testing, iteration, and analytics - Create marketing assets, landing pages, presentations, and digital campaigns - Maintain strong brand consistency across all touchpoints - Translate financial workflows (lending, underwriting, investments, capital stacks, reporting) into intuitive UX - Design data-heavy interfaces that remain clean and decision-focused

• Design end to end product experiences from initial concept and user flows through high fidelity visuals and production ready prototypes • Partner cross functionally with product managers, engineers, and researchers to define problems and explore broad solution spaces • Balance strategic product thinking with detailed execution across multiple verticals • Conduct and synthesize user research and leverage product analytics to inform decisions • Rapidly prototype and test ideas using low and high fidelity approaches to validate solutions • Contribute to quarterly strategy, roadmap planning, and experimentation that drives engagement and retention • Evolve and maintain the design system to ensure consistency, scalability, and accessibility

• Own design outcomes end-to-end across key product surfaces: from problem framing to production-quality UX and UI. • Be the ‘taste maker’ for the next generation of Agentic experiences in Energy. • Build the AI native design platform that makes delivery predictable with AI: define semantic tokens, reusable components and layouts that enable builders to rapidly prototype and ship. • Design interaction systems for AI that scale: clear patterns, constraints, and behaviours that keep experiences consistent as the AI-first product is created and expands. • Solve complex product constraints in the open: trade-offs between speed, quality, consistency, accessibility, and technical reality. • Set clear design narratives and decision-quality standards for trust, clarity, and craft. • Be AI-first in how work ships: apply AI to prototyping, iteration, and production support in ways that are reliable and governed. • Orchestrate across Product, Engineering, Data, and other partners; influence without authority through structured communication and high craft. • Make quality visible and explicit; build confidence that design decisions are intentional, repeatable, and scalable.

• Rework and enhance existing course materials into structured, applied learning content • Translate subject matter expert insights into accessible and engaging learner journeys • Design practical assignments, simulations, and real-world project tasks • Sequence learning pathways to create coherent weekly learning experiences • Integrate relevant tools, platforms, and workflows that enhance applied learning • Collaborate with subject leads and SMEs to refine content through iterative review • Ensure all content aligns with defined pedagogical standards and templates • Maintain high quality, clarity, and learner-centred design across all deliverables