Human Resources Systems and Data Specialist

HF Group Plc is an integrated financial solutions provider that is registered as a non–operating holding company (under the Banking Act Cap.488) and regulated by the Central Bank of Kenya (CBK) and the Capital Markets Authority (CMA). The Group is a public limited company with interests in Banking, Property and Insurance, and is listed at the Nairobi Securities Exchange. For more information on our banking, property and insurance solutions, please visit www.hfgroup.co.ke The Group has 4 main entities: HFC – Full-Service Banking HF Development & Investments (HFDI) – Property/Real Estate Solutions HF Bancassurance Intermediary (HFBI) – Insurance Solutions HF Foundation – ESG/Sustainability On the back of a strong growth trajectory – and in a bid to power the business, HF Group Plc is looking to recruit a dynamic and results-oriented Human Resources Officer

The purpose of this role is to design, implement, optimize, and support HR systems and processes, with a strong emphasis on HR digital transformation, AI integration, automation, and data analytics. The role ensures seamless HR operations, enhances employee experience through digital tools, and delivers actionable people insights to support strategic workforce decision‑making.

Deadline: 2026-03-30

Category: Human Resources

Subsidiary: HFC

Principle Accountabilities
• HR Technology & Systems Management
• Administer, configure, and optimize HR systems including HRIS, LMS, and performance management tools.
• Manage system workflows, role-based access, and integrations across platforms.
• Lead HR tech initiatives such as new module deployments, upgrades, and system testing.
• Ensure data accuracy, consistency, and compliance across all HR platforms.
• Act as the primary liaison between HR, IT, and system vendors.
• HR Digital Transformation
• Drive the HR digital roadmap and modernization strategy.
• Recommend HR technology improvements aligned to organizational needs.
• Document workflows, SOPs, and user guidelines for HR systems.
• Provide training, change management, and system support to HR and employees.
• Automation Enablement
• Identify HR processes suitable for automation using AI and RPA tools.
• Implement intelligent solutions such as AI-powered recruitment, chatbots, predictive analytics, and skills-based matching.
• Integrate AI capabilities with existing HR systems and workflows.
• Evaluate emerging HR-AI technologies and recommend adoption.
• Data Analytics & Workforce Insights
• Ensure all staff loan application are compliant with loan policy i.e., performance, meets Debt ratio threshold, CRB checks etc.
• Input staff loans in the system i.e., car, mortgage, plot loans, unsecured loans etc.
• Streamline the staff process providing recommendations on process improvement.
• Compliance, Risk & Data Security
• Ensure compliance with data protection regulations.
• Maintain system security, access controls, and audit trails.
• Support audits related to HR technology and data.
• Promote best practices in data privacy and cybersecurity.

Principal Outputs
• High HR system uptime and platform reliability.
• Increased process efficiency through automation.
• High user adoption and satisfaction for HR systems.
• Improved data accuracy and reduced reporting turnaround times.
• Successful implementation of digital transformation initiatives.
• Reduction in manual HR workload and operational inefficiencies.

Key Competencies and Skills

Technical Competencies
• Strong analytical and numerical skills.
• High attention to detail with a commitment to accuracy.
• Proficiency in HRIS platforms (e.g., Workday, SAP SuccessFactors, Oracle, BambooHR, Zoho People).
• Strong understanding of AI tools (Microsoft Copilot, Azure AI, Power Automate, UiPath).
• Advanced data analytics capabilities: Power BI, Excel, SQL; Python/R is an added advantage.
• Knowledge of API integrations, SSO, workflow automation, and cloud‑based systems.
• Deep understanding of HR processes across the employee lifecycle.

Minimum Qualifications, Knowledge And Experience

Qualifications – Academic and Professional
• Bachelor’s degree in HR, IT, Statistics, Data Analytics, Computer Science, or related field.
• Experience working with AI, automation, or digital HR tools.
• Certifications in HRIS systems, data analytics, or AI/ML fundamentals are an added advantage.
• 3–5 years’ experience in HR systems, HR digital transformation, HR operations, or HR analytics.