Key Responsibilities:

Data Quality & Operations Leadership

• Coordinate and oversee daily activities of the Data Entry and Data Quality Operators.
• Assign, prioritise, and track team tasks, ensuring deadlines, SLAs, and quality standards are met.
• Act as the escalation point for complex data quality issues and cross-system inconsistencies.
• Coach, train, and support team members on data quality standards, tools, and best practices.
• Monitor team performance, quality trends, improvement actions and provide ongoing feedback and development support.
• Foster a positive, collaborative, responsible, and quality-driven team culture.

Data Governance & Stewardship

• Implement and support data governance policies related to master data.
• Act as a Data Steward for assigned data domains, ensuring:
  • Clear ownership and accountability
  • Consistent definitions and business rules
  • Proper usage of controlled values and reference data
• Contribute to defining and maintaining data quality rules, thresholds, and controls.
• Actively monitor recurring data quality issues and coordinate root-cause resolution with business and technical teams.
• Support data privacy, compliance, and ethical data usage practices in line with institutional policies.

Data Catalogue & Metadata Management

• Contribute to the maintenance and adoption of the Data Catalogue, ensuring:
  • Core data objects, fields, and KPIs are properly documented
  • Business definitions are clear, validated, and aligned with stakeholders
• Collaborate with Data Owners, Analysts, and Engineers to keep metadata accurate and up to date.
• Promote data literacy by helping business users understand data definitions, lineage, and quality indicators via the catalogue.
• Identify gaps in documentation and propose continuous improvements to metadata coverage.

Systems, Tools & Continuous Improvement

• Ensure accurate and timely data entry and updates in Salesforce and other enterprise systems.
• Perform and oversee data checks, error correction, and structured data cleaning activities.
• Partner with technical teams to:
  • Improve automation and validation rules
  • Reduce manual effort in data entry and correction
  • Improve data flows and integrations
• Proactively suggest process enhancements to improve efficiency, consistency, and data reliability.

Minimum Requirements:

• Tertiary Qualification in Information Management, Office Administration, Business Administration, Quality Management or equivalent
• Minimum 3 years of hands-on experience in data entry, data quality, data operations, or administrative operations
• Minimum 2 years in a team lead or supervisory capacity
• Comfortable working with Excel and basic data validation techniques
• Practical experience with CRM systems (Salesforce preferred): data governance concepts, data stewardship, or metadata management

Key Responsibilities:

Data Quality & Operations Leadership

• Coordinate and oversee daily activities of the Data Entry and Data Quality Operators.
• Assign, prioritise, and track team tasks, ensuring deadlines, SLAs, and quality standards are met.
• Act as the escalation point for complex data quality issues and cross-system inconsistencies.
• Coach, train, and support team members on data quality standards, tools, and best practices.
• Monitor team performance, quality trends, improvement actions and provide ongoing feedback and development support.
• Foster a positive, collaborative, responsible, and quality-driven team culture.

Data Governance & Stewardship

• Implement and support data governance policies related to master data.
• Act as a Data Steward for assigned data domains, ensuring:
  • Clear ownership and accountability
  • Consistent definitions and business rules
  • Proper usage of controlled values and reference data
• Contribute to defining and maintaining data quality rules, thresholds, and controls.
• Actively monitor recurring data quality issues and coordinate root-cause resolution with business and technical teams.
• Support data privacy, compliance, and ethical data usage practices in line with institutional policies.

Data Catalogue & Metadata Management

• Contribute to the maintenance and adoption of the Data Catalogue, ensuring:
  • Core data objects, fields, and KPIs are properly documented
  • Business definitions are clear, validated, and aligned with stakeholders
• Collaborate with Data Owners, Analysts, and Engineers to keep metadata accurate and up to date.
• Promote data literacy by helping business users understand data definitions, lineage, and quality indicators via the catalogue.
• Identify gaps in documentation and propose continuous improvements to metadata coverage.

Systems, Tools & Continuous Improvement

• Ensure accurate and timely data entry and updates in Salesforce and other enterprise systems.
• Perform and oversee data checks, error correction, and structured data cleaning activities.
• Partner with technical teams to:
  • Improve automation and validation rules
  • Reduce manual effort in data entry and correction
  • Improve data flows and integrations
• Proactively suggest process enhancements to improve efficiency, consistency, and data reliability.

Minimum Requirements:

• Tertiary Qualification in Information Management, Office Administration, Business Administration, Quality Management or equivalent
• Minimum 3 years of hands-on experience in data entry, data quality, data operations, or administrative operations
• Minimum 2 years in a team lead or supervisory capacity
• Comfortable working with Excel and basic data validation techniques
• Practical experience with CRM systems (Salesforce preferred): data governance concepts, data stewardship, or metadata management

iqbusiness is seeking experienced Cyber Security Project Managers for contract opportunities.

This role is suited to hands-on delivery leaders with a proven track record of managing complex cyber security projects and programmes from initiation through implementation and operational handover. Successful candidates will have extensive experience working with cyber security teams, security vendors, infrastructure teams, and business stakeholders to deliver security capabilities, reduce risk, strengthen compliance, and improve organisational resilience.

Core Cyber Security Delivery Experience:

Demonstrated experience delivering multiple projects and/or programmes across one or more of the following areas:

• Security Operations Centres (SOC)
• SIEM implementations and enhancements
• Endpoint Protection and EDR deployments
• Identity and Access Management (IAM)
• Privileged Access Management (PAM)
• Vulnerability Management
• Network and Firewall Security
• Email Security Solutions
• Cloud Security (Azure, AWS, GCP)
• Security Monitoring and Threat Detection
• Data Loss Prevention (DLP)
• Security Awareness Programmes
• Penetration Testing and Remediation Initiatives
• Cyber Security Governance, Risk and Compliance (GRC)
• POPIA, ISO 27001, NIST and related regulatory/security frameworks
• Managed Security Services implementations and transitions
• Disaster Recovery and Cyber Resilience programmes

Key Responsibilities:

• Lead cyber security projects and programmes from initiation through execution and close-out.
• Manage delivery across security, infrastructure, application, and business teams.
• Define scope, governance, delivery approach, business outcomes, and success measures.
• Establish integrated plans covering resources, budget, vendors, security dependencies, and implementation activities.
• Coordinate multiple cyber security workstreams and managed security service providers.
• Proactively manage risks, issues, remediation actions, and security-related dependencies.
• Drive stakeholder engagement across executive, technical, risk, audit, and compliance teams.
• Monitor project health, delivery milestones, budgets, and benefits realisation.
• Provide clear reporting and governance updates to programme sponsors and steering committees.
• Ensure successful implementation, handover, operational readiness, and documentation.

Required Experience:

• 8+ years’ project and/or programme management experience.
• Proven experience delivering multiple cyber security projects within large enterprise environments.
• Experience managing security vendors and third-party partners.
• Strong understanding of cyber security concepts, controls, and governance frameworks.
• Experience working within regulated industries such as financial services, insurance, telecommunications, mining, or large corporate environments.
• Experience delivering projects using Agile, Waterfall, and Hybrid methodologies.

Education:

• Matric (essential)
• PRINCE2 Practitioner and/or PMP certification 
• Degree or Diploma in Information Technology, Computer Science, Engineering, Information Systems, or Business Management (advantageous)
• Cyber Security certifications advantageous (e.g. CISSP, CISM, CRISC, ISO 27001, Security+, CEH)

Please Note:
As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals

iqbusiness is seeking experienced Cyber Security Project Managers for contract opportunities.

This role is suited to hands-on delivery leaders with a proven track record of managing complex cyber security projects and programmes from initiation through implementation and operational handover. Successful candidates will have extensive experience working with cyber security teams, security vendors, infrastructure teams, and business stakeholders to deliver security capabilities, reduce risk, strengthen compliance, and improve organisational resilience.

Core Cyber Security Delivery Experience:

Demonstrated experience delivering multiple projects and/or programmes across one or more of the following areas:

• Security Operations Centres (SOC)
• SIEM implementations and enhancements
• Endpoint Protection and EDR deployments
• Identity and Access Management (IAM)
• Privileged Access Management (PAM)
• Vulnerability Management
• Network and Firewall Security
• Email Security Solutions
• Cloud Security (Azure, AWS, GCP)
• Security Monitoring and Threat Detection
• Data Loss Prevention (DLP)
• Security Awareness Programmes
• Penetration Testing and Remediation Initiatives
• Cyber Security Governance, Risk and Compliance (GRC)
• POPIA, ISO 27001, NIST and related regulatory/security frameworks
• Managed Security Services implementations and transitions
• Disaster Recovery and Cyber Resilience programmes

Key Responsibilities:

• Lead cyber security projects and programmes from initiation through execution and close-out.
• Manage delivery across security, infrastructure, application, and business teams.
• Define scope, governance, delivery approach, business outcomes, and success measures.
• Establish integrated plans covering resources, budget, vendors, security dependencies, and implementation activities.
• Coordinate multiple cyber security workstreams and managed security service providers.
• Proactively manage risks, issues, remediation actions, and security-related dependencies.
• Drive stakeholder engagement across executive, technical, risk, audit, and compliance teams.
• Monitor project health, delivery milestones, budgets, and benefits realisation.
• Provide clear reporting and governance updates to programme sponsors and steering committees.
• Ensure successful implementation, handover, operational readiness, and documentation.

Required Experience:

• 8+ years’ project and/or programme management experience.
• Proven experience delivering multiple cyber security projects within large enterprise environments.
• Experience managing security vendors and third-party partners.
• Strong understanding of cyber security concepts, controls, and governance frameworks.
• Experience working within regulated industries such as financial services, insurance, telecommunications, mining, or large corporate environments.
• Experience delivering projects using Agile, Waterfall, and Hybrid methodologies.

Education:

• Matric (essential)
• PRINCE2 Practitioner and/or PMP certification 
• Degree or Diploma in Information Technology, Computer Science, Engineering, Information Systems, or Business Management (advantageous)
• Cyber Security certifications advantageous (e.g. CISSP, CISM, CRISC, ISO 27001, Security+, CEH)

Please Note:
As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals

Responsibilities
Coordinate and manage client purchase orders, order requests, and written instructions.
Verify order details including product specifications, quantities, pricing references, delivery dates, and special requirements.
Create, update, and monitor operational tasks using Asana to ensure accurate workflow tracking.
Coordinate supplier requirements, including stock availability, purchase orders, pricing, and collection or delivery arrangements.
Prepare, issue, and follow up on supplier purchase orders and related documentation.
Liaise with suppliers, logistics providers, and outsourced production partners to confirm production schedules and delivery timelines.
Monitor supplier deliveries to minimise delays and production interruptions.
Coordinate production progress and communicate operational updates to relevant stakeholders.
Manage delivery documentation, including picking slips, delivery notes, proofs of delivery, and dispatch records.
Ensure signed delivery documentation is received, verified, and submitted for invoicing or filing.
Perform first-level checks on purchase orders, supplier invoices, delivery notes, and supporting documents.
Identify and escalate discrepancies relating to quantities, pricing, missing documentation, shortages, or delays.
Assist with client enquiries regarding orders, deliveries, documentation, and service issues.
Support complaint resolution by gathering information and assisting with internal feedback.
Maintain organised operational records using SharePoint, Excel, and Asana.
Support general administrative functions including document control, filing, and data capture.
Work closely with administration and accounts to ensure documentation is complete for processing.
Perform additional operational and administrative duties as required by management.
Requirements

Minimum Requirements

Matric / National Senior Certificate.
Previous experience in operations coordination, logistics, administration, supply chain, FMCG, manufacturing, food production, customer service operations, or a similar coordination role.
Excellent organisational skills with the ability to manage multiple priorities simultaneously.
Proficiency in Microsoft Excel, Outlook, and cloud-based filing systems.
Comfortable working with task management software and following structured operational processes.
Ability to identify operational risks and escalate issues proactively.
Professional communication skills when interacting with clients, suppliers, management, and colleagues.
Willingness to work on-site in Tyger Waterfront.

Advantageous

Qualification in Operations, Logistics, Supply Chain, Business Administration, or a related field.
Experience within the meat, food production, cold chain, FMCG, manufacturing, or outsourced production sectors.
Experience using Asana, Xero, SharePoint, or similar business systems.
Familiarity with purchase orders, delivery notes, supplier invoices, proofs of delivery, and stock documentation.
Experience coordinating suppliers, logistics providers, or third-party production partners.
Exposure to service-level reporting, operational reporting, or complaint handling.

Benefits

Contact Hire Resolve for you next career-changing move.

Salary: Market related (Negotiable) depending on experience and experience.
Apply for this role today, contact Lisa Meyer at Hire Resolve or on LinkedIn
You can also visit the Hire Resolve website: hireresolve.us or email us your CV: manufacturing@hireresolve.za.com

We will contact you telephonically in 3 days should you be suitable for this vacancy. If you are not suitable, we will put your CV on file and contact you regarding any future vacancies that arise

This role sits at the intersection of:

• Solution architecture (end-to-end systems design)
• AI engineering (capability awareness, not hands-on build ownership)
• Consulting (client engagement, commercial alignment, pre-sales)

The successful candidate will translate complex business problems into scalable AI architectures, lead multidisciplinary teams, and ensure AI solutions are aligned to enterprise systems, governance, and measurable outcomes.

Role Context & Positioning:

• Senior member of the AI & Data capability working across multiple client engagements
• Acts as the bridge between AI engineering, architecture, and business stakeholders
• Owns solution design, architecture governance and delivery oversight
• Plays a key role in pre-sales, client shaping, and capability development

Responsibilities:

AI Solution Architecture & Design

• Lead the design of end-to-end AI architectures across data, application and integration layers
  • Design solutions spanning:
  • Generative AI (LLMs, RAG, agents)
  • Document intelligence and automation
  • Enterprise AI platforms and APIs
• Define:
  • Data flow, integration patterns, and system architecture
  • Retrieval, orchestration and agent interaction patterns
  • Security, governance and deployment architectures

Client Advisory & Solution Shaping

• Lead discovery workshops and use case definition sessions
• Translate business problems into AI-enabled solutions and architecture blueprints
• Advise clients on:
  • AI adoption roadmaps
  • Architecture approaches (build vs buy vs hybrid)
  • Trade-offs, risks, and ROI

Delivery Leadership

• Own architecture across delivery lifecycle:
  • Discovery → design → build oversight → deployment → optimisation
• Guide engineering teams on:
  • Architecture decisions
  • Design patterns and best practice
• Ensure:
  • Production-grade delivery
  • Alignment to enterprise systems and constraints

Cloud AI Architecture

• Architect solutions across at least one hyperscaler (Azure preferred), including:
  • Azure OpenAI, AI Foundry, AI Search, Document Intelligence
  • Equivalent AWS (Bedrock) or GCP (Vertex AI) services
• Define:
  • Deployment patterns (APIs, microservices, serverless)
  • Integration into enterprise ecosystems
  • Security, networking and governance models

Data & AI Platform Design

• Design data foundations required for AI:
  • Data pipelines, ingestion patterns, storage and modelling
  • Vector databases, embeddings and retrieval strategies
• Ensure:
  • Data quality, lineage, and governance alignment
  • AI-readiness of enterprise data platforms

Pre-Sales & Commercial Contribution

• Support and lead:
  • Solution design for proposals and RFPs
  • Estimation, costing and effort modelling
• Contribute to:
  • Client pitches and demos
  • Opportunity shaping and deal conversion

Capability Building & Thought Leadership

• Develop:
  • Reference architectures and reusable solution patterns
• Mentor:
  • Engineers and consultants
• Contribute to:
  • Internal capability development and AI maturity

Requirements

Consulting & Leadership

• 7–12+ years in technology, data or solution architecture
• 3–5+ years in consulting / client-facing architecture roles
• Proven experience:
  • Leading AI or data engagements
  • Managing multidisciplinary teams
  • Engaging senior stakeholders and executives

AI & Generative AI

• Practical experience designing solutions involving:
  • LLMs and Generative AI applications
  • RAG architectures and retrieval systems
  • AI agents / orchestration patterns
• Strong understanding of:
  • Prompting, evaluation and guardrails
  • Enterprise AI use cases and limitations

Solution Architecture

• Strong experience designing:
  • Distributed systems and microservice architectures
  • API-driven integrations
  • Enterprise-scale cloud solutions
• Ability to clearly articulate architecture decisions and trade-offs

Cloud (At least one CSP, Azure preferred)

• Azure (preferred): OpenAI, AI Foundry, Synapse, Data Lake, App Services
• AWS: Bedrock, Lambda, S3
• GCP: Vertex AI, Cloud Run

Data & AI Platform Understanding

• Strong grounding in:
  • Data engineering concepts (pipelines, modelling, lakehouse)
  • AI system data flows (embeddings, chunking, indexing)
• Experience designing AI-ready data ecosystems

Business & Communication

• Ability to:
  • Translate technical designs into business outcomes
  • Communicate with C-suite and architecture boards
• Strong commercial acumen and delivery mindset

Please Note:

As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification

iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals

Role Context & Reporting Line:

AI & Generative AI Engineering

• Design, build and deploy Generative AI and LLM-based applications, including end-to-end RAG agents and agentic / multi-agent solutions.
• Implement RAG pipelines: chunking strategies, embeddings, dynamic indexing, vector databases, vector indexing, grounding and evaluation.
• Build document intelligence solutions: OCR, classification, custom/neural extraction, table extraction and post-processing for unstructured data.
• Implement tool/function calling, prompt engineering, fine-tuning and guardrails for production AI agents.
• Integrate AI models into enterprise systems via APIs, Service Bus, web apps and downstream platforms.
• Experience/knowledge of fine-tuning generative AI models, MCP, AI tool calling, A2A and graph databases.

Cloud AI Solution Delivery Proficient in any of the following (At least 1 CSP) (Azure | AWS | GCP)

• Azure: Azure OpenAI, AI Foundry / Prompt Flow, AI Search, Cognitive Services, Document Intelligence, Functions, Container Apps, Web Apps, Synapse, Data Lake, DevOps CI/CD.
• AWS: Amazon Bedrock (Anthropic/Claude, Titan Embeddings), Lambda, S3 data lakes, Textract and supporting services for AI agents and RAG.
• GCP: Vertex AI, Cloud Run, Google AppSheet and supporting services for AI workloads.
• Microsoft Fabric & Power Platform: Copilot Studio, AI Builder, Power Apps, Power Automate for rapid AI / automation delivery.
• Databricks: notebooks, ML workflows, Lakehouse and Generative AI capabilities.
• Design and implement cloud AI architectures, including migration patterns across hyperscalers where required.

Data Engineering for AI (AI-Data Engineering)

• Design and implement reliable data pipelines (Python, SQL, PySpark) to support ML and AI workloads.
• Prepare, transform and manage structured and unstructured data for AI use cases (ingestion, ETL/ELT, modelling, lakehouse).
• Implement chunking, embedding, indexing and retrieval mechanisms across vector stores.
• Ensure data quality, lineage and governance alignment, including Purview / catalog tooling where applicable.

AIOps & Operationalisation

• Build CI/CD pipelines for ML and AI models (Azure DevOps, GitHub Actions or equivalent).
• Manage model deployment, monitoring, versioning and performance optimisation.
• Implement scalable, secure inference architectures (Container Apps, Lambda, Cloud Run, Functions).
• Apply Responsible AI, model risk, security and compliance practices (RBAC, Key Vault / Secrets Manager, VNets / Private Endpoints, Monitor / Log Analytics).

Consulting & Delivery

• Engage client stakeholders and translate business requirements into AI solution designs.
• Contribute to discovery, design, estimation, costing and commercial models.
• Communicate risks, trade-offs, model assumptions and limitations clearly to technical and business audiences.
• Produce solution architecture, status reports, SteerCo material, governance artefacts and user documentation.
• Support pre-sales, demos, PoCs and RFP responses; contribute to the AI capability roadmap and uplift of junior engineers.

Required Skills & Experience:

• Degree in Computer Science, Data Science, Engineering, Mathematics or a related quantitative field.
• 3+ years’ experience delivering AI / ML / data solutions, ideally in a consulting or enterprise delivery environment.
• 1–2+ years’ hands-on Generative AI engineering experience (LLMs, RAG, embeddings, vector DBs, prompt engineering).
• 3+ years’ broader ML / AI delivery experience (supervised ML, feature engineering, evaluation, NLP).
• Strong data engineering: pipelines, Python / PySpark, data modelling, lakehouse patterns.
• Cloud experience on at least one of Azure, AWS or GCP, with working knowledge of a second; containerisation and CI/CD.
• Experience integrating AI into enterprise systems via APIs, web apps and messaging.
• Business acumen: ability to link AI solutions to business value, ROI and risk.
• Strong communication, stakeholder management, collaboration and analytical skills.

Advantageous Certifications in Any of the following:

Certifications – AWS (AI / ML & Architecture)

• AWS Certified AI Practitioner.
• AWS Certified Machine Learning – Specialty.
• AWS Certified Machine Learning Engineer – Associate.
• AWS Certified Solutions Architect (Associate or Professional).
• AWS Certified Data Engineer – Associate.

Certifications – Microsoft Azure (AI & Data)

• Microsoft Certified: Azure AI Engineer Associate (AI-102).
• Microsoft Certified: Azure AI Fundamentals (AI-900).
• Microsoft Certified: Azure Data Scientist Associate (DP-100).
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) or Fabric Data Engineer Associate (DP-700).
• Microsoft Certified: Azure Data Engineer Associate (DP-203).
• Microsoft Certified: Azure Solutions Architect Expert (AZ-305).
• Microsoft Applied Skills credentials in Generative AI, Azure OpenAI, Semantic Kernel, Copilot, AI Builder or Document Intelligence.

Certifications – Google Cloud (AI & Data)

• Google Cloud Certified – Professional Machine Learning Engineer.
• Google Cloud Certified – Generative AI Leader.
• Google Cloud Certified – Professional Data Engineer.
• Google Cloud Certified – Professional Cloud Architect.
• Google Cloud Certified – Cloud Digital Leader.

Certifications – Other AI / Data Platforms

• Databricks Certified Generative AI Engineer Associate.
• Databricks Certified Machine Learning Associate / Professional.
• Databricks Lakehouse Fundamentals / Data Engineer.
• Anthropic / Claude developer credentials.
• NVIDIA Deep Learning Institute (DLI) certifications in Generative AI or LLMs.
• Harvard or other recognised Data Science / Machine Learning credentials.

Other Advantageous Experience

• Microsoft Fabric, Azure AI Foundry, Azure OpenAI and solution delivery experience.
• AWS Bedrock with Anthropic Claude, Titan Embeddings and Textract in production.
• GCP Vertex AI and Cloud Run delivery experience.
• Knowledge graphs, advanced RAG patterns, agent orchestration and multi-agent frameworks.
• Exposure to Model Risk Management (MRM), Architecture Review Boards and Responsible AI frameworks.
• Experience productising AI solutions and contributing to AI CoE / Target Operating Model design.
• Track record in pre-sales, RFPs, technical demos and client workshops.

Success Measures:

• Production-grade AI solutions deployed across Azure, AWS and / or GCP.
• Scalable, governed data and AI pipelines established and reused across engagements.
• Measurable contribution to revenue, pre-sales and RFP wins.
• Reduced time-to-production for new AI use cases through reusable patterns and accelerators.
• Demonstrable mentorship of junior engineers and uplift of the broader AI capability.
• High-quality stakeholder engagement, SteerCo and executive communication.

Please Note:
As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals.

• Strong project management and organisational skills
• High attention to detail and financial accuracy
• Well organised, with the ability to manage deadlines and multiple tasks
• Clear written and verbal communication skills
• Proactive and self-directed, with confidence to flag issues early
• Solid foundational analytical skills

As a Data Scientist, you will support research projects with a focus on text analytics, statistical analysis, and data preparation. You will collaborate with researchers and stakeholders to develop data‑driven insights and contribute to analytical prototypes and reports. This position is ideal for someone early in their career who is eager to learn, curious, and comfortable working independently on well‑defined tasks with a great sense of ownership.

Key Responsibilities:

• Conduct text analysis using established NLP methods (e.g., preprocessing, tokenisation, topic modelling, entity extraction).
• Perform statistical analyses, exploratory data analysis, and data cleaning to support research objectives.
• Structure, clean, and organise datasets to ensure reproducibility and data quality.
• Build small analytical prototypes and scripts, leveraging modern AI coding assistants to iterate quickly.
• Contribute to internal dashboards (e.g., using Plotly Dash).
• Document analytical workflows and communicate results clearly to both technical and non‑technical audiences.
• Collaborate with team members using Git for version control.
• Participate in scoping discussions to translate research needs into analytical tasks.
• Demonstrate ownership over assigned tasks and reliability in delivery.

Minimum Requirements:

• Bachelor’s Degree in Computer Science, Information Systems, Engineering, Data Science, Econometrics, Statistics, or a related field
• A minimum of 2 years of experience as a Data Scientist or in a similar data-focused role
• Working knowledge of Python and common data science libraries (Pandas, NumPy, scikit‑learn, spaCy/NLTK)
• Familiarity with NLP workflows and hands on experience applying them in academic or practical settings
• Knowledge of basic statistics and experience with data exploration
• Experience using Git for basic version control
• Strong interest in the frontier of AI and AI agents – actively tracks new developments, experiments with emerging tools and models, and is eager to apply them to research problems
• Ability to write clear documentation and communicate findings effectively

Advantageous Skills:

• Experience with Plotly Dash or other visualisation tools
• Hands-on experience with LLM APIs (OpenAI, Anthropic) or agent frameworks (LangChain, LlamaIndex, LangGraph)
• Basic exposure to web development concepts (HTML/CSS/JavaScript)
• Experience working with financial datasets such as stock time series
• Familiarity with cloud platforms (Azure), containerization (Docker), or Linux environments
• Experience with additional programming languages (R, Julia, TypeScript)

iqbusiness is seeking experienced Scrum Masters, Agile Consultants and Agile Coaches for contract opportunities. This role offers the opportunity to create meaningful client impact by enabling improved delivery outcomes through the practical application of Agile values, principles, and ways of working.

Consultants will work within dynamic, evolving client environments, partnering with delivery and business teams to improve collaboration, enhance delivery performance, and support continuous improvement. The role is suited to practitioners who combine strong Agile fundamentals with a pragmatic, hands‑on consulting approach.

Key Responsibilities

Client Delivery & Engagement

•  Place the customer at the centre of all decision‑making and delivery activities.
• Apply pragmatic, hands‑on problem‑solving to support client teams and achieve sustainable delivery outcomes.
• Engage closely with business and delivery stakeholders to foster collaboration, alignment, and shared accountability.
• Operate effectively within complex organisational and governance environments, balancing compliance with innovation.

Agile Enablement & Team Support

• Apply Agile values and principles to guide ways of working and improve team delivery performance.
• Create a safe, supportive environment in which delivery teams can grow, collaborate, and perform at their best.
• Encourage effective communication practices, including strong interpersonal engagement and face‑to‑face collaboration where appropriate.
• Demonstrate resilience and adaptability within challenging or ambiguous client environments.

Coaching & Continuous Improvement

• Coach individuals and teams to improve Agile maturity, autonomy, and delivery capability.
• Promote servant leadership behaviours that enable team ownership and continuous learning.
• Support organisational change initiatives by modelling Agile thinking and mindset shifts.
• Encourage continuous improvement through inspection, adaptation, and evidence‑based decision‑making.

Agile Practice & Thought Leadership

• Contribute to collaboration and knowledge‑sharing within the iqbusiness Agility team.
• Stay informed of trends and practices relevant to modern delivery environments, including DevOps, SAFe, and emerging technologies such as AI.
• Apply experience gained from working within Agile teams to support evolving client needs and delivery contexts.

Requirements

Essential

• Matric qualification.
• Relevant tertiary qualification (Bachelor’s Degree, Diploma, or equivalent certification from an accredited institution).
• One or more recognised Agile certifications, such as:
  • Certified Scrum Professional (CSP)
  • Certified Scrum Master (CSM)
  • Professional Scrum Master (PSM I or PSM II)
  • PMI‑Agile Certified Practitioner (PMI‑ACP)
• Minimum of 3 years’ experience working within an Agile team, either as a Scrum Master or development team member.
• Solid understanding of Agile frameworks and practices, including Scrum, Kanban, and Lean Software Development.

Advantageous

• Additional relevant Agile, coaching, or scaling certifications.
• Experience consulting within client environments or working across multiple teams or initiatives.

Please Note:

As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals.

This role is suited to designers who can balance strategic thinking with hands‑on delivery, and who are comfortable engaging stakeholders while working closely with product and engineering teams.

Key Responsibilities

Product & Experience Design

• Design and deliver high‑quality, user‑centred digital product experiences across web and mobile platforms.
• Apply strong UX/UI principles to create intuitive, accessible, and visually engaging interfaces.
• Translate complex business and user needs into clear, effective design solutions across the end‑to‑end user journey.

Research, Journey Mapping & Design Thinking

• Plan and conduct user research activities, including discovery, validation, and usability testing.
• Create and maintain user journey maps, service journeys, and experience maps to understand end‑to‑end user interactions, pain points, and opportunities.
• Use journey mapping and research insights to inform design decisions, prioritisation, and experience improvements.
• Apply design thinking methodologies to frame problems, explore solutions, and iterate based on user and business feedback.

Collaboration & Delivery

• Work closely with product managers, developers, and cross‑functional teams throughout the delivery lifecycle.
• Partner with development teams to support accurate, high‑quality implementation of design solutions.
• Confidently engage stakeholders to gather requirements, facilitate design workshops (including journey mapping sessions), and present design concepts and outcomes.

Professional Practice

• Demonstrate curiosity and continuous learning, staying engaged with evolving design practices, tools, and trends.
• Quickly understand technical concepts and terminology to enable effective collaboration with engineering teams.
• Adapt design approaches to suit different client contexts, constraints, and delivery models common to consulting environments.

Requirements

Essential

• A professional portfolio showcasing recent and relevant product design work, including examples of journey mapping and end‑to‑end experience design.
• 4–8+ years’ experience in product design, UX/UI design, or a related discipline.
• Strong grounding in user‑centred design principles, interaction design, visual design, and design thinking.
• Proficiency in design tools such as Figma and/or Sketch.
• Proven experience collaborating within cross‑functional and, where applicable, internationally distributed teams.
• Excellent communication and stakeholder engagement skills.

Advantageous

• Experience designing products within regulated or complex environments (e.g. payments or financial services).
• Experience designing and facilitating journey mapping workshops with business and technical stakeholders.
• Exposure to mobile‑first and responsive design across multiple platforms.
• Experience working within Agile or fast‑paced delivery environments.
• Familiarity with modern design trends, design systems, and emerging tools or technologies.

Qualifications

• National Senior Certificate (or equivalent) from an accredited institution.
• Diploma or degree in Design, Human‑Computer Interaction, Visual Communication, or a related field.

Please Note:
As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation; we embrace diversity and employ previously disadvantaged individuals.

iqbusiness is seeking experienced Scrum Masters, Agile Consultants and Agile Coaches for contract opportunities. This role offers the opportunity to create meaningful client impact by enabling improved delivery outcomes through the practical application of Agile values, principles, and ways of working.

Consultants will work within dynamic, evolving client environments, partnering with delivery and business teams to improve collaboration, enhance delivery performance, and support continuous improvement. The role is suited to practitioners who combine strong Agile fundamentals with a pragmatic, hands‑on consulting approach.

Key Responsibilities

Client Delivery & Engagement

•  Place the customer at the centre of all decision‑making and delivery activities.
• Apply pragmatic, hands‑on problem‑solving to support client teams and achieve sustainable delivery outcomes.
• Engage closely with business and delivery stakeholders to foster collaboration, alignment, and shared accountability.
• Operate effectively within complex organisational and governance environments, balancing compliance with innovation.

Agile Enablement & Team Support

• Apply Agile values and principles to guide ways of working and improve team delivery performance.
• Create a safe, supportive environment in which delivery teams can grow, collaborate, and perform at their best.
• Encourage effective communication practices, including strong interpersonal engagement and face‑to‑face collaboration where appropriate.
• Demonstrate resilience and adaptability within challenging or ambiguous client environments.

Coaching & Continuous Improvement

• Coach individuals and teams to improve Agile maturity, autonomy, and delivery capability.
• Promote servant leadership behaviours that enable team ownership and continuous learning.
• Support organisational change initiatives by modelling Agile thinking and mindset shifts.
• Encourage continuous improvement through inspection, adaptation, and evidence‑based decision‑making.

Agile Practice & Thought Leadership

• Contribute to collaboration and knowledge‑sharing within the iqbusiness Agility team.
• Stay informed of trends and practices relevant to modern delivery environments, including DevOps, SAFe, and emerging technologies such as AI.
• Apply experience gained from working within Agile teams to support evolving client needs and delivery contexts.

Requirements

Essential

• Matric qualification.
• Relevant tertiary qualification (Bachelor’s Degree, Diploma, or equivalent certification from an accredited institution).
• One or more recognised Agile certifications, such as:
  • Certified Scrum Professional (CSP)
  • Certified Scrum Master (CSM)
  • Professional Scrum Master (PSM I or PSM II)
  • PMI‑Agile Certified Practitioner (PMI‑ACP)
• Minimum of 3 years’ experience working within an Agile team, either as a Scrum Master or development team member.
• Solid understanding of Agile frameworks and practices, including Scrum, Kanban, and Lean Software Development.

Advantageous

• Additional relevant Agile, coaching, or scaling certifications.
• Experience consulting within client environments or working across multiple teams or initiatives.

Please Note:

As all iqbusiness roles require honesty in the handling of or access to cash, finances, financial systems, or confidential information; our recruitment process requires that the following background checks be completed: credit, criminal, ID, and qualification verification.

iqbusiness is committed to sustainable growth and transformation, we embrace diversity and employ previously disadvantaged individuals.