Portfolio and Platform Lead
Open a video or resource link, watch it, then check its box to track your progress and unlock what comes next.
- Prioritize a portfolio and build shared platform capabilities that create measurable outcomes
- Govern evidence and scale adoption across partners, countries and regulated operating contexts
Benchmark: Gates Foundation MNCNH AI Portfolio & Platform Lead + Salesforce Enterprise AI & Portfolio Management Platforms + Pfizer AI Platform Product Management (Sep 2026) Market refresh: AI portfolio lifecycle from concept and proof-of-concept to scale; stage-gate readiness and investment decisions; roadmaps, budgets, milestones and grant/partner performance; platform-as-product strategy and adoption; human-centered design for constrained settings; AI evaluation, trust and responsible governance; FHIR/HL7/DHIS2/OpenMRS interoperability; data-access agreements; ministries, funders, grantees and implementer coordination; scalable health-system adoption.
Search Live Openings
We don’t have a direct job-board feed matched to this one yet, so here are real, live US job searches for “Portfolio and Platform Lead” instead.
Prioritize a portfolio and build shared platform capabilities that create measurable outcomes
Portfolio lifecycle, stage gates + investment allocation
Coverage: AI Roadmapping / Portfolio Planning / Business Cases / Program Risk
Platform-as-product strategy + internal adoption
Coverage: Platform Product Management / Developer Experience / KPIs / Adoption
Human-centered design, trust + constrained-context UX
Coverage: Product Discovery / UX Research / Accessibility / Human-Centered AI
APIs, FHIR + health-system interoperability
Coverage: APIs / Integration Strategy / FHIR-HL7 / DHIS2 / Health Data Exchange
Govern evidence and scale adoption across partners, countries and regulated operating contexts
AI evaluation, responsible deployment + data governance
Coverage: AI Evals / Responsible AI / Data Governance / Privacy / Trust
Scaling readiness, partner ecosystems + country adoption
Coverage: Enterprise AI / Change & Adoption / Global Health / Partner Enablement
Role-Readiness Proof / Capstone
Build and govern a cross-product AI portfolio and shared platform for a public-health or enterprise context. Define the strategy, outcome thesis and platform charter; inventory 6-8 initiatives; create stage-gate and scaling-readiness criteria; model budgets, resources and investment memos; run human-centered research including low-bandwidth and accessibility constraints; define shared platform capabilities and APIs plus an integration map for FHIR, DHIS2 and OpenMRS; write data-access, privacy, security and evaluation requirements; create dashboards for quality, adoption, cost and reliability; design the stakeholder and country/partner scale-up plan; pilot one use case; then make evidence-backed scale, pivot or stop decisions in an annual portfolio review.
Proof Rubric
- Demonstrate portfolio and platform judgment together: clear strategy and sequencing
- evidence-backed stage gates and resource allocation
- platform-as-product adoption
- human-centered design and trust
- standards-based interoperability
- AI evaluation and data governance
- privacy/security controls
- scaling and adoption grounded in operating context
- partner and government influence
- measurable outcome, cost and reliability evidence
- explicit scale/pivot/stop decisions
- and an executive narrative that connects investments to impact