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Saraficom Business

Manager – AI Capability

Learning & DevelopmentPosted on Nov 11
Full-timeKenyaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Data Science, Artificial Intelligence, Computer Science, Education, Organizational Development, Business, Technology, or a related field.
  • A minimum of 5–7 years of experience in capability development, learning, technology transformation, AI adoption, or digital transformation roles.
  • Experience designing and implementing enterprise capability-building programs.
  • Strong understanding of artificial intelligence, analytics, machine learning, and emerging technologies.
  • Experience driving large-scale change management and adoption initiatives.
  • Knowledge of adult learning methodologies and capability frameworks.
  • Experience managing stakeholder engagement across diverse business functions.
  • Experience working with academic institutions and external partners.
  • Strong facilitation, coaching, and presentation skills.
  • Excellent communication and influencing capabilities.
  • Knowledge of organizational capability assessment and workforce readiness frameworks.
  • Experience working within agile and transformation environments.
  • All employees must adhere to the company's safety, health, and wellbeing policies, guidelines, and procedures.
  • Create an inspiring vision for the team to drive strategy and performance.
  • Empower others to go beyond the plan and challenge teams to reimagine how work is done.
  • Use knowledge of the external environment to identify and act on opportunities for growth.
  • Create psychological safety and encourage others' innovative ideas.
  • Collaborate across teams, align resources with current and future needs, and hold the team accountable.
  • Develop and coach others to make the most of their talents and take ownership.

Responsibilities

  • Uphold the company code of conduct, policies, and procedures, ensuring integrity and accountability.
  • Develop and implement the enterprise AI capability and skills development strategy.
  • Define AI competency frameworks for technical and non-technical employee segments.
  • Assess AI capability maturity across business functions and identify development priorities.
  • Build workforce readiness programs supporting AI adoption at scale.
  • Establish capability roadmaps aligned to business and technology strategies.
  • Identify future AI skill requirements and emerging capability needs.
  • Support workforce planning initiatives for AI and data talent.
  • Develop capability measurement frameworks and maturity assessments.
  • Ensure AI capability initiatives support enterprise transformation priorities.
  • Design enterprise-wide AI learning pathways for leaders, managers, and employees.
  • Develop AI onboarding, certification, and accreditation programs.
  • Curate learning content covering AI, analytics, automation, and emerging technologies.
  • Partner with HR and Learning teams to embed AI learning into talent development frameworks.
  • Deliver workshops, masterclasses, and capability-building interventions.
  • Support development of technical upskilling programs for AI practitioners.
  • Establish mechanisms for continuous learning and knowledge sharing.
  • Measure the effectiveness and impact of learning interventions.
  • Promote adoption of self-service AI learning platforms and resources.
  • Design and implement the Group AI Evangelist Program.
  • Recruit, develop, and support AI champions across business units.
  • Create communities of practice focused on AI adoption and innovation.
  • Facilitate knowledge-sharing forums and capability events.
  • Equip AI evangelists with tools, resources, and learning content.
  • Track adoption and effectiveness of AI ambassador initiatives.
  • Foster collaboration between technical and business communities.
  • Promote successful AI use cases and innovation stories.
  • Build a sustainable internal network of AI advocates and change agents.
  • Establish partnerships with universities and higher learning institutions.
  • Collaborate on AI research, innovation, and talent development initiatives.
  • Build internship, graduate, and AI fellowship programs.
  • Engage with technology vendors and innovation partners.
  • Participate in industry forums and AI ecosystem initiatives.
  • Identify opportunities for joint research and capability-building activities.
  • Support development of local AI talent pipelines.
  • Drive collaboration with regional and global AI communities.
  • Strengthen Safaricom's role in shaping national AI capability agendas.
  • Develop AI awareness and adoption campaigns across the Group.
  • Promote responsible AI usage and AI literacy among employees.
  • Drive behavioral change initiatives supporting AI transformation.
  • Support business teams in embedding AI into day-to-day operations.
  • Measure AI adoption and capability outcomes across functions.
  • Develop communication strategies that promote AI success stories.
  • Foster a culture of experimentation and innovation.
  • Address barriers to AI adoption and capability development.
  • Support organizational readiness for emerging AI technologies.
  • Represent Safaricom in AI conferences, forums, and industry engagements.
  • Develop thought leadership content on AI innovation and capability development.
  • Promote Safaricom's AI achievements through external channels.
  • Support publication of research, case studies, and innovation insights.
  • Engage with regulators, academia, and industry stakeholders on AI matters.
  • Position Safaricom as a leading AI capability-building organization.
  • Contribute to national and regional AI development conversations.
  • Support executive engagement on AI thought leadership initiatives.
  • Build Safaricom's reputation as a destination for AI talent and innovation.
  • Deepen the team's connection to customers and communities.
  • Foster authentic relationships with customers and partners that build trust.
  • Make customer-centric decisions and take personal ownership to achieve results.
  • Simplify processes through digitalization and promote a digital mindset and digital-first customer experience.
  • Stay focused on priorities, make meaningful trade-offs, and execute effectively.
  • Create psychological safety so everyone can have an impact.
  • Fuel innovative ideas from others and test them to enable growth.
  • Explore successes and failures with curiosity and resilience, recognizing lessons learned.
  • Share ongoing learning and personal purpose with others.
  • Learn from digital adoption and use those learnings to drive simplicity, scale, and efficiency.
  • Actively collaborate to break silos and ensure the team does the same.
  • Create an inclusive environment that ensures the safety and wellbeing of others.
  • Live the company's purpose and demonstrate integrity.

Desired Qualifications

  • A master's degree in Artificial Intelligence, Learning & Development, Organizational Development, Business Administration, or a related discipline.
  • Professional certifications in Change Management, Learning & Development, AI, or Digital Transformation.

About the Company

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