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Information Technology
Head – AI Data Services and Bpo Transformation
ECONET Wireless, Harare
Location
Harare
Employment type
Full time
Field
Information Technology
Closes
Closes in 1 day
Employer
Employer named in the advert
About the role
The Head of AI Data Services and BPO Transformation will create and lead this new growth engine. The role will win business, develop commercially viable service models, and build the operational capabilities required to deliver high-quality data labelling, annotation, validation, human-in-the-loop and AI-supported customer operations at scale. The successful candidate will combine commercial leadership with enough understanding of AI data operations to translate customer needs into secure, measurable and profitable services. This is a market-building and business transformation role with clear accountability for revenue, pipeline, new propositions, delivery readiness and margin.
Job Summary
- Employer: ECONET Wireless
- Job Type: Full-time
- Location: Harare, Zimbabwe
- Category: Technology
- Closing Date: 2026-10-30
Key Responsibilities
- Own the go-to-market strategy, sales pipeline, revenue plan and gross-margin performance for AI data services and next-generation BPO.
- Identify and pursue opportunities with AI companies, hyperscalers, technology platforms, enterprises, governments and research institutions.
- Represent OmniContact at relevant industry forums and position the company as a trusted African partner for responsible AI data operations.
- Develop senior client relationships and lead discovery, solution shaping, proposals, commercial negotiations and contract closure.
- Create a portfolio of productised services covering data annotation, transcription, translation, data classification, model evaluation, red teaming, reinforcement learning from human feedback and human-in-the-loop operations.
- Develop specialist propositions leveraging OmniContact's African presence, multilingual capability and customer-service experience including African Language datasets and culturally informed model evaluation.
- Define pricing models such as per task, per labelled item, per productive hour, dedicated team, managed service, outcome-based fee and platform-plus-service.
- Design the end-to-end delivery model covering client intake, work decomposition, workforce allocation, annotation guidelines, quality assurance, exception handling, reporting and continuous improvement.
- Ensure compliance with applicable privacy, data-protection, labour, intellectual-property and client confidentiality requirements.
- Implement secure access controls, data segregation, audit trails, clean-room practices where required, and controls for sensitive or harmful content.
- Build and lead a cross-functional team spanning commercial, solution design, operations, quality, training and workforce management.
Requirements
- Degree in Business Management, Commercial, Marketing, Sales or equivalent
- Postgraduate qualification in business, technology, data science or a related field.
- 6 - 8 years' experience in a similar or related environment and operating at decision making levels.
- Senior commercial or general-management experience in BPO, technology services, data operations, AI services, digital platforms or a closely related sector.
- Demonstrated success in originating, shaping and closing enterprise business, including complex managed-service or outsourcing contracts.
- Experience building a new service line, entering a new market, or materially changing an established business model, selling cross-border services from Africa and managing distributed or multilingual workforces will be an added advantage.
- Strong commercial and financial capability, including pricing, business cases, contract economics, forecasting and profit-and-loss management.
- Working understanding of AI and machine-learning data workflows, with the ability to engage credibly with technical and business stakeholders.
- Experience in designing scalable operations with measurable quality, productivity, security and service levels.
How to Apply
To apply send your CV to careers@econet.co.zw . Closing date for all applications is Friday 30 October 2026.
What you need
- Commercial
- Marketing
- Sales or equivalent
- Technology
- Technology services
- Data operations
Also useful
- Sales
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