Digital Divide Data (DDD) is a BPO that delivers ML data solutions and content services to Fortune 500 companies and the world’s leading academic institutions. DDD is unique in its ability to deliver end-to-end data creation, curation, labeling, and annotation services, regardless of scale, with a guaranteed level of quality.

The L&D Tech Specialist is responsible for deploying, maintaining, and optimizing DDD’s new AI learning curriculum across leadership, HR, and operations.
You will ensure seamless integration between LMS, GPT-based tools, HRIS, and operational workflows, while coaching leaders to adopt AI in everyday processes.

If you love building, fixing, teaching, and scaling systems AND you enjoy being the go-to technical brain behind L&D, keep reading.

1. AI Curriculum Delivery & Learning Technology Integration

• Deploy and manage AI curriculum for Team Leaders, HR, and support functions.

• Oversee technical setup, versioning, and rollout of all AI learning modules.

• Integrate learning content across various workflows.

• Diagnose, troubleshoot, and optimize learning technology issues.

2. AI Adoption Coaching for Leaders & Operations

• Train and coach Ops leaders on AI usage across various departments for daily operations.

• Provide hands-on support to drive AI-enabled decision-making and performance.

• Convert operational use-cases into learning workflows that reinforce new behaviors.

3. Systems Workflow & Data Integrity

• Configure and maintain various system connections

• Own learning analytics dashboards, adoption metrics, and data quality.

• Collaborate with HRIS and IT to ensure compliance, security, and data integrity.

4. Stakeholder & Program Management

• Align tech-driven learning initiatives with business priorities.

• Advise L&D Lead on emerging automation tools.

• Localize global solutions to fit Africa's operational context.

Required

• Diploma/Bachelor’s in IT, Computer Science, Learning Technologies, or Business with strong tech aptitude.

• Hands-on experience with LMS, HRIS, automation systems, or digital learning tools.

• Ability to coach non-technical users with patience and clarity.

• Strong analytical, troubleshooting, and systems-thinking capability.

Preferred

• Familiarity with generative AI tools, prompt engineering, or automation workflows