Equity Bank Kenya

Banking + 2 more

GM - Business Process Re-engineering and Automation

Closed for applications
Job details

Contract Type

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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