Your contribution:

• Responsibility for our knowledge management system, from selection and configuration through rollout and sustainable adoption in the relevant teams
• Definition of binding processes for the creation, review, approval, and maintenance of knowledge documents to ensure they are clearly, efficiently, and scalably embedded in the organization
• Ensuring that resolved support cases are systematically translated into knowledge articles, decision trees, and runbooks, making them available as reusable standards
• Introduction of new ways of working in support, delivery, and engineering teams through suitable onboarding and training formats, as well as clearly defined accountabilities
• Early identification of process deviations, initiation of suitable corrective measures, and consistent assurance that standards are not only introduced but also sustainably lived
• Ownership of key success metrics and systematic management of all initiatives along defined targets (knowledge reuse rate >80%, time-to-knowledge <48h, self-service resolution rate >75%, quality gate compliance 100%)

What you bring:

• Several years of experience in knowledge management, content quality, or a comparable role, ideally in an IT services, software, or technology-driven environment
• An excellent academic background, preferably from a leading university, ideally in information systems, information management, computer science, business administration, or a comparable field of study
• Proven experience in introducing, building, and further developing knowledge systems or content platforms
• A strong understanding of scalable processes as well as the ability to anchor knowledge in organizations in a structured, efficient, and sustainable way
• Confidence in working with governance, quality standards, and binding processes, as well as the ability to communicate them clearly and enforce them effectively
• Ideally, experience with AI-supported systems, retrieval architectures, or ITSM platforms, and a good sense of how to combine technological capabilities with operational excellence
• 
  

Description

Optasia is a real-time financial intelligence company. We build precision intelligence that unlocks financial opportunity at scale, running millions of automated credit decisions every day across high-growth markets where formal credit data is limited. Our AI-powered platform turns permitted behavioural data and real-time signals into precise, responsible credit decisions. Embedded within the systems of telcos, banks, digital wallets and other partners, it helps them extend relevant financial services to more people while maintaining strong portfolio control and opens profitable new segments that were previously out of reach. This is how Optasia turns potential into financial progress, responsibly and at scale.

We are looking for an AI Enablement & Adoption Lead to drive Optasia’s company-wide AI learning and adoption strategy. 

This is a hands-on role within the People team, responsible for building AI capability across the organization — from designing and delivering training programs, growing a network of capable AI Champions, to driving engagement and helping employees use AI to improve the way they work. 

The ideal candidate is both a strong facilitator and an accomplished AI practitioner, someone who actively experiments with tools such as Claude and Microsoft Copilot and can translate new AI capabilities into practical, relevant applications for employees. 

What You'll Do 

• Build and own Optasia’s AI enablement strategy, including the roadmap, learning journeys and adoption initiatives across the organization. 
• Design and deliver a company-wide AI curriculum, from AI fundamentals and prompting, advanced use cases, productivity workflows and responsible AI. Lead cohort-based sessions to upskill the workforce in generative AI and tech adoption. 
• Deliver tailored feedback and developmental coaching that AI cannot replicate – through 1:1 sessions, hands-on workshops, training sessions, demos and office hours to build employee confidence and practical AI skills. 
• Develop an AI Champions network across functions, creating a community of employees who can support and accelerate AI adoption within their teams. 
• Teach employees how to identify AI opportunities and build practical AI solutions, including assistants, workflows and agents using tools such as Claude and Copilot. 
• Partner with teams across Optasia to identify high-value AI use cases and support the adoption of AI in everyday workflows. 
• Own the internal AI communications and engagement plan, including campaigns, newsletters, events, success stories and practical AI resources. 
• Build and maintain a self-service AI learning hub, including curriculum content, employee how to guides, playbooks, prompts, use cases and other learning materials. 
• Measure AI adoption and impact, tracking participation, capability, usage and business value ,and using insights to continuously improve the program. 
• Partner with IT, Security and other stakeholders to promote responsible and secure use of AI and ensure employees understand relevant policies and guidelines. 

What You'll Bring 

• 4+ years' proven leadership experience in AI enablement, L&D design, digital adoption, transformation and change management. 
• Strong hands-on experience with a variety of Generative AI tools, including Claude and Microsoft Copilot. 
• Proven experience designing and delivering training programs and learning content. 
• Excellent facilitation, communication, and stakeholder management skills. 
• Experience in change management, driving adoption, and behavioral change across an organization. 
• Ability to create dashboards, analyze data, and provide management insights. 
• With a practical, curious, and experimental mindset, you enjoy building and testing AI solutions yourself, not just talking about them. 
• Proven experience designing AI agents, workflows, or automation is essential. 
• Experience in a fast-paced, international,, or technology-driven environment is a plus. 
• A degree in an AI-related field or equivalent industry background is ideal but not essential. 

Why Optasia?Your contribution:

• Responsibility for our knowledge management system, from selection and configuration through rollout and sustainable adoption in the relevant teams
• Definition of binding processes for the creation, review, approval, and maintenance of knowledge documents to ensure they are clearly, efficiently, and scalably embedded in the organization
• Ensuring that resolved support cases are systematically translated into knowledge articles, decision trees, and runbooks, making them available as reusable standards
• Introduction of new ways of working in support, delivery, and engineering teams through suitable onboarding and training formats, as well as clearly defined accountabilities
• Early identification of process deviations, initiation of suitable corrective measures, and consistent assurance that standards are not only introduced but also sustainably lived
• Ownership of key success metrics and systematic management of all initiatives along defined targets (knowledge reuse rate >80%, time-to-knowledge <48h, self-service resolution rate >75%, quality gate compliance 100%)

What you bring:

• Several years of experience in knowledge management, content quality, or a comparable role, ideally in an IT services, software, or technology-driven environment
• An excellent academic background, preferably from a leading university, ideally in information systems, information management, computer science, business administration, or a comparable field of study
• Proven experience in introducing, building, and further developing knowledge systems or content platforms
• A strong understanding of scalable processes as well as the ability to anchor knowledge in organizations in a structured, efficient, and sustainable way
• Confidence in working with governance, quality standards, and binding processes, as well as the ability to communicate them clearly and enforce them effectively
• Ideally, experience with AI-supported systems, retrieval architectures, or ITSM platforms, and a good sense of how to combine technological capabilities with operational excellence
•