Job Openings at IQbusiness

Job Description

• The Enterprise AI & Data Solution Architect is responsible for designing credible, scalable and secure AI/Data solution architectures that support iqbusiness’ solution-led growth agenda. The role partners with Sales, Data / AI Solution Leads, Service Line Leaders and delivery teams to ensure that client solutions are technically sound, commercially realistic and aligned to enterprise architecture principles.
• This role brings technical credibility into sales and solutioning conversations, helping clients understand how AI, Data, cloud platforms, governance, integration, analytics and modern architecture can be combined to deliver measurable business outcomes.

Role Mandate:

• The role owns the architecture integrity of AI/Data-enabled solutions from early-stage pre-sales through proposal, mobilisation and design assurance. It is a pre-sales and solution architecture role with delivery oversight, not a day-to-day project management role.

Responsibilities:

Enterprise and Solution Architecture

• Design end-to-end AI/Data solution architectures across data platforms, integration, analytics, AI/ML, GenAI and enterprise technology landscapes.
• Translate client business priorities into practical architecture options and solution designs.
• Define target-state architectures, transition approaches and architecture roadmaps.
• Ensure solutions are scalable, secure, governed, cost-aware and fit for enterprise deployment.
• Identify architecture risks, technical dependencies and implementation constraints early in the sales cycle.

Pre-Sales Architecture and Solutioning

• Support early-stage client conversations where technical credibility is required.
• Work with Data / AI Solution Leads and Sales Executives to shape solution options, technical responses and proposal content.
• Contribute architecture diagrams, solution blueprints, technical assumptions, delivery estimates and platform recommendations.
• Participate in client workshops, solution presentations, orals and technical due diligence sessions.
• Help ensure that proposals are technically coherent and differentiated.

AI, Data and Platform Design

• Design architectures for AI-enabled data platforms, analytics solutions, GenAI solutions, enterprise search, document intelligence, AI agents, RAG architectures and integrated data products.
• Advise on data readiness, data modelling, ingestion, transformation, storage, governance and security requirements.
• Support MLOps, model deployment, monitoring, evaluation and operational governance considerations where relevant.
• Ensure responsible AI, privacy, data protection, model risk and human oversight principles are embedded into solution design.

Design Authority and Delivery Oversight

• Provide architecture oversight during mobilisation and early delivery for strategic or complex solutions.
• Support design checkpoints, architecture assurance reviews and escalation resolution.
• Work with delivery teams to protect the solution intent established during pre-sales.
• Provide guidance where architecture, integration, data quality, platform constraints or stakeholder alignment become delivery risks.

Reusable Assets and Capability Building

• Develop reference architectures, architecture patterns, technical templates and reusable accelerators.
• Contribute to the EMA AI/Data solution catalogue and architecture playbook.
• Coach internal teams on AI/Data architecture patterns, modern data platform principles and responsible AI design.
• Stay informed on emerging AI, cloud, data and enterprise architecture patterns and translate these into practical consulting assets.

Requirements:

Essential

• 10+ years' experience in Solution Architecture, Enterprise Architecture, Data Architecture or related technology leadership roles in consulting, professional services or complex enterprise environments.
• Strong architecture experience across modern data platforms, cloud, integration, analytics and AI-enabled solutions.
• Experience designing enterprise or client-facing AI/Data solutions from discovery through to implementation.
• Understanding of GenAI, LLMs, RAG, AI agents, vector databases, MLOps, data governance and model risk considerations.
• Ability to translate complex technical concepts into business-friendly language.
• Comfortable supporting pre-sales, proposal development, solution estimation and client presentations.
• Strong stakeholder engagement skills across business, technology, architecture, risk and delivery teams.

Advantageous

• Azure, AWS, Databricks, Snowflake, Synapse, Microsoft Fabric, Power BI or similar platform exposure.
• Experience in regulated industries such as financial services, insurance, telecommunications, healthcare, public sector or mining.
• Architecture certifications or cloud/data/AI certifications.
• Experience building enterprise AI platforms, AI-enabled products, LLM-powered assistants, document automation solutions, enterprise search or data modernisation programmes.

Success Measures:

• Quality and credibility of AI/Data solution architectures developed.
• Contribution to winning strategic opportunities through pre-sales architecture support.
• Reduction in proposal and delivery risk through early architecture assurance.
• Reusable architecture assets, patterns and accelerators created.
• Successful mobilisation of solutions with clear architecture continuity.
• Positive feedback from clients, sales teams and delivery teams.
• Demonstrable contribution to AI/Data capability uplift inside the business.

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Job Description

• The Data / AI Solution Lead exists to help iqbusiness grow market share by turning AI, Data, consulting, architecture, productised IP and partner capability into practical, repeatable and client-relevant solutions. The role operates between sales, architecture and delivery, shaping opportunities from early client need through to proposal, solution design, commercial estimation and mobilisation.
• This role is not a pure delivery management role. It is a senior solutioning and growth role focused on building qualified pipeline, shaping compelling propositions, supporting client conversations, improving proposal quality and ensuring that sold solutions remain coherent, deliverable and commercially sound.

Role Mandate:

• The Data / AI Solution Lead will lead and support solution-led opportunities across AI and Data, working with Client Relationship Leads, Sales Executives, Enterprise Architects, Service Line Leaders and delivery teams. The role will focus on converting market demand into structured offerings, solution blueprints, proposal narratives and executable delivery models.

Responsibilities:

Solution-Led Growth and Pre-Sales

• Shape AI/Data-led opportunities with new and existing clients.
• Work with Sales Executives and Client Relationship Leads to qualify opportunities, define client problems and develop solution hypotheses.
• Lead or support discovery conversations, solution workshops and executive framing sessions.
• Translate business problems into clear solution narratives, value cases and delivery approaches.
• Support deal qualification, bid strategy, pricing inputs and proposal development.

AI and Data Proposition Development

• Develop packaged AI/Data propositions that can be taken to market repeatedly.
• Build reusable solution blueprints, use cases, proposal modules and client-facing narratives.
• Work with Service Lines to convert capability depth into commercially relevant offerings.
• Identify opportunities to productise internal IP, accelerators, frameworks and partner capabilities.
• Ensure propositions are linked to business outcomes such as growth, productivity, risk reduction, customer experience, operational efficiency or decision intelligence.

Client Solution Shaping

• Lead solution-shaping sessions across consulting, data, AI, architecture and delivery teams.
• Define the scope, outcomes, delivery model, resource profile, high-level timeline and commercial assumptions for proposed solutions.
• Ensure proposed solutions are practical, differentiated, technically credible and commercially viable.
• Help move client conversations away from pure staff augmentation toward solution-led, outcome-based or advisory-to-delivery opportunities.

Proposal and Commercial Quality

• Develop or contribute to proposal narratives, pitch decks, business cases and solution commercials.
• Ensure proposals clearly connect client challenges, solution approach, delivery model, architecture, commercials, risks and proof points.
• Work with architecture and delivery teams to test assumptions before submission.
• Help ensure that solution promises can be delivered within the proposed commercial model.

Delivery Oversight and Solution Continuity

• Provide oversight during mobilisation for solutions the role has shaped or materially supported.
• Support design checkpoints, architecture reviews and executive steering moments.
• Protect the original solution intent through transition from sales into delivery.
• Escalate risks where scope, architecture, commercials or stakeholder alignment threaten the promised outcome.

Partner, Product Stack and Market Enablement

• Support partner-led and platform-enabled propositions where hyperscalers, ISVs or specialist ecosystem providers strengthen the offering.
• Contribute to thought leadership, client points of view and market activation campaigns.
• Help build internal confidence in AI/Data solutioning through coaching, reusable content and knowledge sharing.

Requirements:

Essential

• 10+ years strong consulting or professional services background in Data, AI, analytics, digital transformation or enterprise modernisation.
• Proven experience shaping client solutions in a pre-sales, solution lead or advisory capacity.
• Ability to translate business problems into AI/Data-led solution propositions.
• Experience working with senior client stakeholders and internal delivery teams.
• Strong understanding of data platforms, analytics, AI use cases, GenAI, data governance and solution delivery models.
• Commercial awareness, including scoping, estimation, pricing inputs, margin sensitivity and proposal quality.
• Strong facilitation, storytelling and stakeholder management skills.

Advantageous

• Experience in financial services, insurance, telecommunications, retail, mining, public sector or other enterprise environments.
• Exposure to AI productisation, AI accelerators, data modernisation, MLOps, RAG, LLM-enabled solutions or AI governance.
• Experience working with cloud and data ecosystems such as Microsoft Azure, AWS, Databricks, Snowflake, Synapse, Power BI or similar platforms.
• Prior involvement in building reusable solution catalogues, go-to-market propositions or consulting offerings.

Success Measures:

• Qualified AI/Data solution-led pipeline created or materially shaped.
• Revenue or gross profit contribution from qualifying opportunities.
• Proposal conversion and quality of submitted solutions.
• Number and quality of reusable solution assets created.
• Successful mobilisation of solutions without loss of solution intent.
• Adoption of propositions by Service Lines, Sales and Client Relationship teams.
• Evidence of market impact through new doors opened, expanded accounts and improved executive-level conversations.
   

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Job Description

• The AI Product Sales Executive is responsible for generating, developing and converting sales opportunities for iqbusiness’ AI and Data productised offerings, accelerators and solution-led propositions. The role is commercially focused and works closely with the senior AI & Data Solutions Executive, Data / AI Solution Leads, Solution Architects, Client Relationship Leads, Service Line Leaders and Marketing to build pipeline and close revenue.
• This role is designed to drive market activation and demand creation. It should focus on opening doors, building relationships, qualifying opportunities, progressing pursuits and converting AI/Data propositions into signed work.

Role Mandate:

• The AI Product Sales Executive will carry a sales target and commission linked to qualifying AI/Data productised or solution-led revenue. The role will focus on new logo development, existing account expansion, campaign follow-up, partner-led opportunities and conversion of market interest into structured sales pursuits.

Responsibilities:

Pipeline Generation and Sales Origination

• Build and maintain a qualified pipeline for AI and Data productised offerings.
• Identify target accounts, buying centres and decision-makers across priority sectors.
• Generate opportunities through direct outreach, existing relationships, partner channels, marketing campaigns and internal referrals.
• Engage C-suite, senior technology, data, digital, operations and business stakeholders.
• Create demand around AI adoption, GenAI enablement, data modernisation, analytics, intelligent automation and productised AI solutions.

Sales Qualification and Opportunity Progression

• Qualify opportunities based on client need, buying intent, budget, urgency, value potential and solution fit.
• Maintain clear next steps, ownership, stakeholder maps and commercial actions for each opportunity.
• Work with Solution Leads and Architects to shape opportunities into viable propositions.
• Progress opportunities through discovery, proposal, negotiation and close.
• Use structured sales disciplines such as account planning, qualification, forecasting and CRM hygiene.

Productised AI and Data Proposition Sales

• Sell packaged AI/Data offerings, accelerators and repeatable solution propositions.
• Clearly communicate the value, business outcomes and differentiation of iqbusiness AI/Data offerings.
• Position productised IP and partner-enabled solutions in a way that is commercially compelling and delivery-realistic.
• Help convert early AI interest into practical use cases, pilots, advisory engagements or scaled implementation opportunities.
• Support upsell and cross-sell from one AI/Data engagement into broader EMA or iqbusiness services.

Client and Account Development

• Build trusted relationships with senior buyers and influencers.
• Partner with Client Relationship Leads to expand existing accounts.
• Open new relationships in targeted sectors and priority accounts.
• Stay engaged with clients beyond individual transactions to identify future demand.
• Capture market signals, competitor activity and client pain points to feed proposition development.

Pursuit, Proposal and Commercial Support

• Coordinate with Solution Leads, Architects and Service Lines to develop proposals and client responses.
• Support pricing, commercial structuring and negotiation preparation.
• Contribute to pitch materials, client presentations and response documents.
• Help ensure pursuits are commercially sound and properly qualified before heavy investment is made.
• Maintain forecast accuracy and pipeline discipline.

Partner and Market Activation

• Work with technology partners and alliance teams to identify joint pipeline opportunities.
• Support events, campaigns, webinars, executive roundtables and market activation initiatives.
• Feed client insights back into proposition development and sales enablement material.
• Build visibility for iqbusiness AI/Data offerings in the market.

Requirements:

Essential

• 8+ years proven sales, business development or account growth experience in consulting, technology, data, AI, digital transformation or professional services.
• Experience building and converting pipeline in B2B enterprise environments.
• Ability to sell complex solutions consultatively rather than relying on transactional product sales.
• Strong understanding of AI, Data, analytics, cloud or digital transformation value propositions.
• Comfortable engaging senior business and technology stakeholders.
• Strong commercial discipline across qualification, forecasting, account planning and CRM management.
• Excellent communication, storytelling, negotiation and relationship-building skills.

Advantageous

• Experience selling AI, analytics, automation, cloud, SaaS, data platforms, managed services or consulting solutions.
• Existing network across South African enterprise clients.
• Exposure to financial services, insurance, telecommunications, retail, mining, public sector or broader EMEA markets.
• Experience working with technology partners such as Microsoft, AWS, Databricks, Snowflake, SAP, Adobe or similar ecosystems.
• Familiarity with MEDDPICC, Miller Heiman or similar enterprise sales methodologies.

Success Measures:

• Qualified AI/Data pipeline generated.
• Revenue and gross profit contribution from closed opportunities.
• Conversion of productised AI/Data propositions into signed work.
• New client doors opened and existing accounts expanded.
• Forecast accuracy and pipeline hygiene.
• Contribution to partner-generated or campaign-generated pipeline.
• Quality of collaboration with Solution Leads, Architects, CRLs and Service Lines.
• Repeat client interest, follow-on work and market feedback.

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• We are looking for a hands-on delivery professional with proven experience managing card and payments-related projects within a banking or financial services environment. The ideal candidate will be comfortable driving projects from initiation through to implementation while engaging effectively with business, technology and vendor stakeholders.

Key Experience Required:

• 5+ years' Project Management experience
• Banking or financial services experience
• Card payments, merchant acquiring, payment acceptance or contactless payments experience
• Experience delivering technology and business change initiatives
• Strong stakeholder, risk and dependency management skills
• Experience working in Agile, Waterfall or hybrid delivery environments

Responsibilities:

• Manage projects and initiatives from initiation through execution and close-out.
• Engage with business stakeholders, delivery teams and project sponsors throughout the project lifecycle.
• Assist with defining project objectives, delivery approaches and success measures.
• Develop and maintain project plans, schedules, timelines and dependency trackers.
• Coordinate activities across business and technology teams to support successful project delivery.
• Monitor and manage project risks, issues and dependencies, escalating where required.
• Track project progress and provide regular status updates to stakeholders.
• Facilitate project meetings, workshops and governance forums.
• Support budget tracking, resource planning and delivery reporting.
• Ensure project documentation, handover activities and lessons learned are completed at project closure.

Education:

• Matric (essential)
• PRINCE2 Practitioner and/or PMP certification (required)
• Degree or Diploma in Business Management, Computer Science, Business Science, or Engineering (advantageous)
• Agile certifications (e.g. Scrum Master, SAFe, SAFe RTE) highly advantageous