Fresh Jobs at LexisNexis South Africa

About the Role

• Lead the HR function or sub-function within the organization, developing and implementing HR plans that support overall business objectives. Work actively in a matrixed organization, partnering closely with HR COE leadership and Leadership business to deliver comprehensive, integrated solutions and ensure seamless, strategic HR support across the business. Translate the company's mission, vision, and strategy into specific goals and actionable plans for the HR function. 

Responsibilities

• Lead the implementation of business and HR strategies by aligning departmental objectives with organisational goals and inspiring high performance
• Drive large-scale transformation initiatives, embedding an AI Fluency culture through change management, training, and governance
• Build strong relationships with internal stakeholders and act as a trusted business partner across functions
• Develop and execute functional strategies, business plans, budgets, workforce plans, and performance targets
• Strengthen organisational capability through talent gap analysis, leadership coaching, succession planning, and performance management
• Provide expert HR advice and manage stakeholder engagement to support informed decision-making and transformation
• Leverage HR data, analytics, and AI tools to improve engagement, optimise services, and enable evidence-based insights
• Lead development and implementation of HR policies, frameworks, and data management processes ensuring compliance and operational excellence

Requirements

• Requires 10–15 years of expert-level HR and business leadership experience, along with 3–6 years managing people and resources to achieve strategic business outcomes
• Strong understanding of business operations, market dynamics, and regulatory environments with the ability to deliver strategic plans
• Demonstrated ability to apply AI responsibly to solve business challenges, including problem framing, prompt development, and risk management
• Proven experience building trusted relationships and influencing stakeholders through effective communication and presentation
• Expertise in organisational design, change management, and fostering an adaptive, resilient culture
• Experience using HR analytics, systems, and data management practices to support workforce planning and decision-making
• Ability to interpret financial and operational data to guide business decisions and priorities
• Strong planning, prioritisation, and organisational skills with the ability to manage complex initiatives
• Excellent verbal communication and stakeholder engagement capabilities
   

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About the Role

• As a Senior Data Analyst I, you will partner with stakeholders to solve complex business challenges through data-driven insights and analytical solutions. You will lead end-to-end analytics projects, develop impactful visualizations, and help enable informed decision-making across the organization.

Responsibilities

• Collaborate with stakeholders to understand business goals and identify meaningful analyses, metrics, and success measures.
• Help define measurable outcomes aligned with organizational objectives.
• Prepare, transform, and validate data, including work with large or complex datasets.
• Apply statistical methods and analytical modeling to assess trends, drivers, and potential outcomes.
• Develop clear visualizations and data stories tailored to diverse audiences.
• Lead analytics projects end-to-end, including scoping, planning, and managing timelines.
• Serve as a subject matter expert and provide mentorship to junior analysts.
• Create reusable data products that support users at varying levels of data literacy.

Requirements

• 3–5 years of experience in analytics, reporting, or data-focused roles.
• Strong ability to understand complex data structures and apply advanced data preparation and quality techniques.
• Experience using intermediate statistical methods for business analysis.
• Proficiency with SQL and Python for querying, transformation, and analysis.
• Experience with data visualization tools (e.g., Tableau, Power BI) and designing dashboards for business users.
• Familiarity with modern analytics platforms (e.g., Databricks or similar).
• Strong project execution skills, including organizing work, managing priorities, and communicating progress.
• Clear communication skills, with the ability to explain technical concepts to non-technical audiences.
• Comfortable working an overlap with the US 11:00am–19:00pm, Monday to Friday SAST.
   

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About the Role

• As a Software Engineering Manager, you will provide leadership, direction, and support to software engineers and development teams responsible for delivering high-quality software solutions. You will work closely with development peers, product leaders, project managers, and technical teams to ensure successful delivery across the software development lifecycle while helping to build an inclusive, collaborative, and high-performing engineering culture.

Responsibilities

• Provide leadership, management, direction, and vision to software engineers and development employees, including offshore contractors, consultants, and interns.
• Support, run, and drive change activities across the software development lifecycle.
• Collaborate closely with development peers, product leaders, project managers, and other software development teams.
• Direct the successful completion and delivery of software components and related deliverables.
• Report project and team progress to senior management.
• Support talent identification, development, and succession planning activities.
• Define resource requirements and support resource allocation planning.
• Contribute to department budget oversight and operational planning.

Requirements

• Software development experience with demonstrated technical expertise including experience managing software engineering teams.
• Expertise and proven experience in various staffing and resource models.
• Strong proficiency in database technology, design and manipulation, optimization, and best practices.
• Knowledge of normalized and dimensional data modeling principles and their application to complex business needs.
• Expertise in techniques for design and code reviews of offshore technical proposals.
• Strong collaboration, communication, and stakeholder management skills.
• Experience guiding technical teams through delivery and continuous improvement initiatives.
• Understand how AI is transforming software engineering and how AI tools can improve engineering productivity across activities such as coding, testing, requirements generation and prototyping.