Senior Manager - AI Solution & Business Adoption

Role Objective

Drive enterprise-level AI adoption that delivers measurable, defensible business outcomes. Accountable for shaping, prioritising, and delivering AI use cases end-to-end - from opportunity identification and solution shaping through production rollout, sustained adoption, and benefits realisation.  The role bridges business processes and AI-enabled solutions, ensuring credible value delivery (not pilots alone) while operating within governance, risk, and architecture standards.

Job Duties

• Lead end-to-end delivery of AI initiatives, including use case identification, solution shaping, delivery governance, deployment, and post-go-live adoption & optimisation
• Partner with business stakeholders to identify high-impact AI opportunities and translate them into actionable project plans
• Drive AI execution with ownership of scope, timeline, budget, quality, and realised business outcomes (adoption and benefits)
• Manage cross-functional teams including IT teams, and external vendors
• Ensure AI solutions are scalable, secure, and aligned with enterprise architecture and governance standards
• Establish and enforce best practices for AI solution lifecycle management, including controls, documentation, and operational readiness
• Oversee data readiness for priority AI use cases, including data sourcing, quality, governance, integration, and access controls
• Provide leadership in Agile and traditional project management methodologies to ensure efficient delivery
• Define success metrics and monitor adoption and performance of AI-enabled processes; intervene where value is not materialising
• Communicate portfolio progress, risks, decisions, and value realisation to senior management with executive-ready narratives
• Build and mentor a high-performing AI team, fostering innovation and continuous learning
• Stay up to date with emerging AI trends and assess their applicability to the organization
• Own and maintain the AI use-case portfolio (intake → prioritisation → pilot → production → benefits realisation), ensuring cases do not stall at “POC”
• Lead stakeholder alignment and change management with department heads and key users to embed AI into day-to-day workflows
• Challenge, reset, or stop initiatives that lack credible value, readiness, or business ownership to protect organisational credibility
• Ensure responsible AI adoption aligned to AI governance, regulatory expectations, and enterprise risk controls

Requirements

• Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, Information Technology, or related disciplines
• 10+ years in digital transformation, product/programme delivery, AI/analytics initiatives, or enterprise change, with proven track record delivering measurable business outcomes
• Strong AI technical fluency to evaluate and shape solutions (e.g., Copilot, RAG, workflow automation, analytics-driven AI, agentic patterns) and to challenge vendors/teams—without needing to be an engineer
• Demonstrated experience managing full initiative lifecycle from ideation through production rollout, adoption, and benefits tracking
• Proven leadership experience with the ability to manage and grow technical teams
• Solid understanding of data architecture, data platforms, and cloud technologies
• Strong senior stakeholder management skills with ability to bridge business and technical teams, influence decisions, and drive accountability
• PMP and/or Agile certification (e.g., Scrum, SAFe) is preferred
• Experience in Agile project delivery and modern development practices
• Strategic mindset with independent and forward-looking perspectives on AI adoption and enterprise transformation
• Strong analytical, problem-solving, and decision-making skills
• Excellent communication skills in English; additional languages are a plus
• Proven ability to drive adoption and behavioural/process change, including training, enablement, and measurement of sustained usage
• Commercially grounded mindset with integrity in benefits/ROI claims and willingness to stop low-value initiatives
• Experience in deploying AI solutions in enterprise environments (e.g., finance, leasing, retail, or asset management)
• Familiarity with AI governance, ethics, and regulatory considerations
• Experience leading AI adoption programmes (e.g., Copilot/AI enablement) across diverse business functions, including measuring value realisation (Not a standalone data scientist or AI engineer role; success is measured by business adoption and tangible outcomes)

Remuneration

We offer a 5-day work week and an attractive remuneration package commensurate to the right candidates with qualifications and working experience. Fringe benefits for staff include annual leave, paternity leave, birthday leave, volunteering leave, medical scheme, life insurance, Employee Unit Purchase Plan and performance-based incentives.

Application

If you resonate with Link's vision and aspire to develop a rewarding career with us, please apply by clicking "Apply Now".

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