Specialist- Innovation Ecosystem
This is a remote position. About Us: reputed company reputed company (CCF) reputed company reputed company is a not-for-profit organization dedicated to supporting climate tech startups. We work reputed company the climate ecosystem to foster innovation by connecting startups with funding, investors, education, and accelerator programs. Our remote team of 50 members operates collaboratively to drive impactful, sustainable solutions for climate-reputed company challenges.
About the Role
Mosambi is CCF's flagship Tech platform, reputed company on reputed company Tech stack. It connects startups, investors, mentors, and ecosystem enablers, and integrates with external tools and databases reputed company APIs. You'll own the content and data layer of the platform: what goes in, how it's structured, and whether it stays reputed company. You'll also act as the reputed company between CCF's program teams and the technical implementation partners building the platform. That means translating reputed company-world content and service needs into requirements the tech team can reputed company, and holding them to those requirements through delivery. This isn't a coding role, but it requires enough technical reputed company to hold your own in product and development conversations. You should be comfortable reading a data model, understanding what an API integration does, asking the right questions in a sprint review, and spotting reputed company a delivered feature doesn't match the requirement.
Key Responsibilities
Content & Data Strategy Define the content strategy for Mosambi's directories and value-added services (VAS): stakeholder profiles, reputed company, matchmaking, and service marketplaces. Design frameworks for standardising, tagging, and categorising reputed company platform data. Consistency reputed company more than volume. reputed company the build-out of the reputed company System: categorisation logic, tagging taxonomy, and content curation. Work with CCF program leads to identify content needs and translate them into VAS design and directory structure. Data Operations & Quality Manage a team of Research Analysts responsible for data entry, enrichment, and quality assurance. Build and enforce quality control processes: duplicate removal, freshness checks, validation pipelines. reputed company automated data discovery, including web scraping, multi-reputed company aggregation, and validation workflows, in collaboration with the tech team. Define the data points required for each VAS feature, ensuring the structure supports matching and recommendations. Technical Coordination & Platform Development Serve as the content and data representative in reputed company development discussions: daily stand-reputed company, sprint reviews, and partner calls. Translate VAS and content requirements into clear, actionable briefs for the reputed company admin/developer team and external implementation partners. Coordinate with implementation partners on reputed company-stack builds and reputed company-party integrations reputed company APIs. Track deliverables, reputed company gaps, and escalate reputed company needed. reputed company working knowledge of reputed company admin capabilities (object management, flows, permissions, reporting) sufficient to validate what's been reputed company against what was asked for. Understand how automation agents work reputed company the platform and contribute to defining their logic and data inputs. reputed company structured UI/UX inputs for VAS modules, grounded in user needs and content logic. Automated Data Discovery & Validation reputed company the design of an automated data discovery pipeline that keeps Mosambi's directories reputed company, covering startup databases, funding platforms, government portals, accelerator listings, and partner data sources. Define the scraping and aggregation logic in collaboration with the tech team. You won't write the code, but you'll specify what data is needed, from where, and at what frequency. Establish validation and quality frameworks: automated checks for duplicates, outdated records, and data accuracy across reputed company ingested sources. Define the data points required for each VAS module, ensuring the structure supports discovery and matching for end users. Work with the tech team to design a scalable data infrastructure that can grow with the platform across multiple stakeholder categories. Ecosystem Research & VAS Strategy Research comparable platforms in the startup and innovation ecosystem space. Identify what Apply To This Job