Scale-Up of Existing DISHA AI Solutions 

• Partner onboarding: Coordinate with new UN entities, NGOs, government agencies, and research partners to bring them onto existing DISHA platforms (Damage Assessment, Socio-Economic Mapping).
• Adoption support: Provide hands-on technical and operational guidance during early adoption phases, helping partners integrate tools into their workflows.
• Feedback loops: Collect, document, and analyze partner feedback to identify gaps, risks, and opportunities for improved features.
• Implementation planning: Develop work plans, milestones, and tracking mechanisms to monitor partner onboarding and solution expansion.
• Partner engagement: Support the preparation of tailored pitch decks, progress reports, and impact briefs for donors and partners to secure additional funding for scaling.

Strategic Inputs and Rapid Prototyping of New Products/Features 

• Opportunity scanning: Conduct horizon scans to identify promising use cases, unmet ecosystem needs, and potential collaborations.
• Use case design: Translate emerging opportunities into structured problem statements, including expected user groups, technical approach, and feasibility.
• Sourcing new ideas: Develop and run structured mechanisms (e.g., challenges, workshops, surveys) to source innovative use cases and product features from partners.
• Rapid prototyping: Work with technical colleagues to design and test minimum viable products (MVPs) and prototypes with users.
• Business model exploration: Support exploration of sustainability models, such as service packages, cost-sharing, or partnerships that ensure long-term adoption.
• Strategic inputs: Provide evidence-based recommendations to the DISHA Lead and Steering Committee for prioritizing new products and features.

Product Development, Monitoring and Evaluation   

• Metrics development: Design and maintain monitoring frameworks, including adoption metrics, technical performance indicators, and social impact measures.
• Continuous testing: Coordinate regular usability testing sessions with diverse user groups and ensure feedback informs product iterations.
• Data storytelling: Develop engaging dashboards, data visualizations, and narrative reports to communicate product performance to stakeholders at different levels of technical literacy.
• Partner engagement: Maintain close collaboration with humanitarian and development actors to align DISHA solutions with operational priorities.
• Knowledge sharing: Document lessons learned, best practices, and case studies to inform global AI-for-social-good communities.
• Impact reporting: Support internal and external reporting cycles, ensuring evidence of DISHA’s added value is clearly communicated to leadership, funders, and the wider public.

Impact of Results

• The effective and successful achievement of DISHA’s objectives could accelerate the ability of social and humanitarian actors to utilize the benefits of AI and big data at a faster pace in these unprecedented times of fragility and uncertainty of climate-fuelled natural disasters and intense conflicts

Education:

• An advanced University Degree (Master’s or equivalent) or higher degree, preferably in computer science, social sciences, business analytics, economics, or related field. 
• First-level university degree (Bachelor’s or equivalent) in the above-mentioned fields with an additional two (2) years of relevant experience can be accepted in lieu of an advanced degree.

Experience:

• A minimum of five (5) years of experience in managing multi-stakeholder projects in technology, innovation, or data-driven humanitarian/development contexts, or related fields is required.
• Experience in growing adoption of advanced data/AI solutions, including translation between client and technical teams and product refinement, is an asset.
• Proven track record of designing and implementing data-driven tools, dashboards, and analytics methodologies is an asset. 
• Experience with designing and executing evaluation frameworks, including data visualizations or dashboards is desired. 
• Experience with satellite imagery, remote sensing, and geospatial analytics is desired. 
• Experience with data/AI initiatives for social impact is an asset