Identify and evaluate emerging MAVA and immersive technology opportunities by continuously scanning market, technology, and behavioral trends and translating early signals into clear, decision‑ready insights.
Assess and prioritize innovation use cases by running rapid, evidence‑led evaluations, documenting assumptions, and preparing structured inputs for experimentation, funding, and stage‑gate decisions.
Model business impact and value potential by supporting ROI, NPV, and scenario analyses and translating technical and experiential concepts into credible business impact narratives.
Define and operationalise measurement frameworks by establishing North Star metrics, leading and lagging KPIs, and dashboards that track performance, risk, and progress across pilots and scaled initiatives.
Support experimentation and learning cycles by contributing to A/B tests, causal analyses, UX studies, and telemetry‑based measurement, ensuring data quality and actionable outcomes.
Embed decision governance and responsible innovation principles into prioritisation, measurement, and evaluation processes, contributing reusable templates and standards across the Innovation Lab.
Communicate insights and recommendations by synthesizing complex evidence into concise decision briefs, executive summaries, and clear trade‑off discussions for senior stakeholders.
Enable cross‑lab alignment by supporting consistent Decision Intelligence methods, evidence standards, KPIs, and value modeling across innovation verticals.
Requirements
Degree / Masters qualified in a relevant technical / business area.
Experience with Decision Intelligence platforms or structured decision frameworks.