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Aga Khan Hospitals, Equity Bank Kenya , Oasis Outsourcing, UNEP, University of NairobiProfession (Mid-level)
Industry (Mid-level)
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Banking + 2 more
Description
Qualifications / Certifications
- 12–15+ years of progressive professional experience within EGH based licenses in banking, insurance, or other regulated financial services environments.
- Proven track record leading enterprise-scale transformation, automation, or technology delivery programmes with measurable business outcomes.
- Hands-on experience delivering process re-engineering, workflow automation, RPA, data, and AI initiatives across multiple business functions.
- Demonstrated ability to operate effectively within regulatory, risk, audit, and compliance frameworks, including engagement with internal and external auditors.
- Proven experience managing cross-functional, multidisciplinary teams, including technology, operations, data, and business stakeholders.
- Strong stakeholder management experience at Executive, Board, and Regulator-facing levels.
- Exposure to large-scale platform implementations, vendor management, and complex delivery environments.
- Experience embedding solutions into business-as-usual operations, including support, change management, and continuous improvement.
Responsibilities
a) Enterprise Transformation.
- Define and own the enterprise transformation roadmap across banking and insurance lines
- Support large-scale operating model change (process, technology, people) for shared service enablement in Automations.
b) Innovation & Emerging Technology
- Build and govern the innovation portfolio
- Evaluate emerging technologies (AI, GenAI, advanced analytics) for business relevance.
c) AI Strategy & Ethics.
- Define the AI strategy, principles, and guardrails.
- Ensure explainability, fairness, and regulatory compliance.
d) Business Value, Continuous improvement and Change management.
- Translating ARRP strategy into measurable value outcomes
- Drive executive alignment and enterprise adoption
e) Delivery & Execution
- Oversee end-to-end delivery of automation and AI initiatives
- Prioritise delivery based on business impact and risk
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