Product and Program Lead: AI Automation Solutions - Consultant

Prosper Global

6d•Remote

About The Position

Prosper Global is seeking a consultant to lead the validation, design, development, and pilot of an AI-enabled product to improve the Award Agreement Review Checklist (AARC) workflow. This consultancy will support the creation of AI tools to assist with locating, organizing, and summarizing relevant information from donor agreements, and preparing draft inputs for reviewers. The goal is to reduce manual information gathering, support the completion of the review template, and help prepare appropriate donor-facing responses while strengthening consistency, traceability, and effective use of reviewer expertise. The consultant will serve as Product and Program Lead for a business-led initiative, coordinating with business stakeholders and engaging IT, Technology for Development (T4D), and Data Services as needed. The delivery approach will focus on essential decisions, safeguards, integration considerations, and handover requirements, without depending on sustained technical-team capacity. The estimated level of effort is approximately 3 months, with delivery targeted by late December 2026 or early January 2027.

Requirements

5-10 years of experience in a relevant technical, product-management, digital-delivery, or program-delivery field.
Strong product-management and program-delivery experience, including ownership of delivery from requirements validation through pilot and handover.
Demonstrated experience leading AI, automation, or data-enabled initiatives.
Experience translating business processes and user needs into practical product requirements and delivery decisions.
Experience managing pilots, iterative development, user testing, quality assurance, and acceptance criteria.
Ability to work independently in a business-led delivery model while engaging technical specialists efficiently at defined decision points.
Familiarity with AI accuracy, data protection, information security, assurance, auditability, and responsible-use risks.
Strong stakeholder facilitation, documentation, and executive communication skills.

Nice To Haves

Experience with humanitarian organizations or similar non-profits.

Responsibilities

Lead the validation, design, development, and pilot of an AI-enabled AARC product.
Reduce manual information gathering and support the completion of the review template.
Help prepare appropriate donor-facing responses while strengthening consistency, traceability, and effective use of reviewer expertise.
Coordinate directly with business stakeholders and engage IT, Technology for Development (T4D), Data Services, and other technical actors.
Validate and refine the existing AARC problem statements, user needs, and business requirements through a time-boxed validation sprint.
Design a practical, user-centered AI-enabled product that assists reviewers with locating relevant agreement provisions, organizing supporting evidence, and preparing draft review inputs and donor responses for human validation and refinement.
Deliver a tested pilot through iterative validation, prototyping, sandbox testing, and live-use testing.
Define and apply appropriate safeguards for accuracy, data protection, responsible AI use, and human review.
Develop the essential product, technical, user, testing, and performance documentation needed for adoption and ongoing management.
Provide a clear, evidence-based recommendation for rollout, maintenance, and any future scaling of the AARC product.
Conduct limited stakeholder interviews and structured validation sessions.
Confirm primary pain points, business requirements, priority use cases, and acceptance criteria.
Confirm which AARC review questions may be supported by AI and which require direct human analysis, judgment, or approval-only review.
Develop the solution design and delivery approach under the direction of the business owner.
Define functional and non-functional requirements, the division of work between reviewers and AI tools, user journeys, and essential solution-architecture inputs.
Develop a phased implementation plan covering prototype, sandbox, pilot, and rollout readiness.
Define success measures, performance thresholds, critical failure conditions, and pilot-entry criteria.
Identify product, operational, data-handling, accuracy, and responsible-AI risks and define proportionate mitigation measures.
Track pilot outcomes and prepare an indicative assessment of efficiency gains and potential value using evidence available from the pilot.
Develop and maintain the detailed workplan, timeline, dependencies, and level-of-effort estimates.
Prepare a focused stakeholder engagement plan and responsibility matrix.
Coordinate business contributors and secure timely input from technology actors where required.
Lead development of the initial prototype and manage iterative refinement against agreed acceptance criteria.
Develop and implement a test plan covering priority use cases, accuracy, completeness, usability, critical failure conditions, data handling, and agreed acceptance criteria for pilot entry.
Coordinate sandbox and pilot testing with users.
Assess pilot performance against agreed accuracy, usability, efficiency, and risk thresholds.
Gather feedback, maintain an issue and improvement log, and drive prioritized refinements.
Develop concise user guidance and handover notes sufficient for internal owners to operate, assess, and govern the pilot after the engagement.
Maintain a decision and open-issues log covering technical, governance, data, and support items requiring internal ownership after the engagement.
Assess performance, document lessons learned, and recommend whether and how the product should proceed to rollout or further refinement.