• Define and own an outcome-driven incubation roadmap for Blockchain and tokenization experiments, including sequencing, dependencies, and success metrics. • Partner with business and technology leaders to identify and shape tokenization and blockchain opportunities, hypotheses, and experiment charters. • Prioritize a portfolio of rapid prototypes, proofs of concept, and pilots based on value, feasibility, risk, and learning objectives. • Serve as a liaison between business leaders, engineering, architecture, security, and legal/compliance teams to translate needs into implementable experiment designs and prototypes. • Lead discovery, requirements definition, and lightweight solution design in collaboration with engineering support and platform architects. • Manage a lab backlog and execution cadence (planning, demos, iteration cycles, and experiment readouts) to drive rapid solutioning and measurable learning. • Support build vs. partner evaluations by coordinating vendor “bake-offs,” ecosystem scans, and technical assessments relevant to tokenization and blockchain capabilities. • Define experiment governance and controls appropriate for a lab environment, including data handling, access controls, auditability expectations, and risk reviews. • Establish reference architectures, reusable components, and patterns (on-chain and off-chain) that can accelerate future experiments and inform downstream teams. • Define, track, and communicate experiment KPIs, such as time-to-prototype, learning velocity, stakeholder readiness, feasibility, risk posture, and proof-of-value results. • Monitor experiment outcomes and operational signals during pilots (stability, usability, integration constraints), and drive iteration or decisioning based on findings. • Stay current on blockchain and tokenization trends (standards, privacy approaches, interoperability, custody/settlement models, regulatory developments) to inform the lab pipeline. • Produce clear recommendations and transition plans for successful concepts, including handoff artifacts (requirements, architecture, risk considerations, ROI, and operational needs) for product and engineering teams that may scale them. • Provide thought leadership and mentorship across the Lab and partner teams to strengthen in-house blockchain knowledge and delivery confidence.