Equity Bank Limited (The "Bank”) is incorporated, registered under the Kenyan Companies Act Cap 486 and domiciled in Kenya. The address of the Bank’s registered office is 9th Floor, Equity Centre, P.O. Box 75104 - 00200 Nairobi. The Bank is licensed under the Kenya Banking Act (Chapter 488), and continues to offer retail banking, microfinance 

Responsibilities or duties

The roles focuses on Automations CoE capacity building and enabler support.

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.

Innovation & Emerging Technology

• Build and govern the innovation portfolio
• Evaluate emerging technologies (AI, GenAI, advanced analytics) for business relevance.

AI Strategy & Ethics.

• Define the AI strategy, principles, and guardrails.
• Ensure explainability, fairness, and regulatory compliance.

Business Value, Continuous improvement and Change management.

• Translating ARRP strategy into measurable value outcomes
• Drive executive alignment and enterprise adoption

Delivery & Execution

• Oversee end-to-end delivery of automation and AI initiatives
• Prioritize delivery based on business impact and risk

Qualifications or requirements (e.g., education, skills)

Key Deliverables

Innovation & Strategic alignment:

• Define and own the enterprise transformation and AI strategy, aligned to business objectives across banking and insurance.
• Identify, prioritise, and govern high-impact transformation and innovation initiatives.
• Establish AI principles, ethical guardrails, and regulatory alignment.
• Drive enterprise change management, executive sponsorship, and adoption.
• Track and report value realisation from transformation initiatives.

Delivery.

• Own the enterprise automation and AI delivery agenda, ensuring solutions are scalable, secure, and compliant.
• Oversee end-to-end delivery of automation initiatives, from intake to production.
• Govern the automation platforms and architecture, including RPA, workflow, data, and AI tooling.
• Ensure strong risk management, audit readiness, and operational resilience.
• Embed automations into business-as-usual operations with clear ownership and support models.

Experience needed

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.

• 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.
• Build and govern the innovation portfolio
• Evaluate emerging technologies (AI, GenAI, advanced analytics) for business relevance.
• Define the AI strategy, principles, and guardrails.
• Ensure explainability, fairness, and regulatory compliance.
• Translating ARRP strategy into measurable value outcomes
• Drive executive alignment and enterprise adoption
• Oversee end-to-end delivery of automation and AI initiatives
• Prioritize delivery based on business impact and risk
• Define and own the enterprise transformation and AI strategy, aligned to business objectives across banking and insurance.
• Identify, prioritise, and govern high-impact transformation and innovation initiatives.
• Establish AI principles, ethical guardrails, and regulatory alignment.
• Drive enterprise change management, executive sponsorship, and adoption.
• Track and report value realisation from transformation initiatives.
• Own the enterprise automation and AI delivery agenda, ensuring solutions are scalable, secure, and compliant.
• Oversee end-to-end delivery of automation initiatives, from intake to production.
• Govern the automation platforms and architecture, including RPA, workflow, data, and AI tooling.
• Ensure strong risk management, audit readiness, and operational resilience.
• Embed automations into business-as-usual operations with clear ownership and support models.

• Automation
• Data literacy
• Process re-engineering
• Workflow automation
• RPA
• AI
• GenAI
• Advanced analytics
• Risk management
• Audit readiness
• Operational resilience
• Change management
• Stakeholder management
• Vendor management

• 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.