Verified Employer Hiring Fast Featured Role

AI and Automation Lead

Seven Up Bottling Company verified
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Location
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Work Model
home_work onsite
14% Remote · 0% Hybrid · 86% On-site
Job Type
work Full-time
External Interest
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Salary
payments Competitive

Intelligence Match

Match: ??%

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Skills Match 87%
Experience Match 88%
Portfolio Match 84%
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About the role

Seven Up Bottling Company (SBC) is a leading beverage manufacturer in Nigeria. The AI and Automation Lead will lead the practical delivery of AI and automation solutions that improve how SBC works and create measurable business value, working with the Head of Business Solutions and business owners to identify, select and develop working prototypes.

Required Skills

Responsibilities

  • Understand business problems, map existing processes and assess opportunities before selecting technology.
  • Evaluate requests through the shared intake process, comparing process improvement, existing system capabilities, rules-based automation and AI.
  • Define requirements, business ownership, baselines and acceptance criteria; recommend priorities.
  • Promote AI literacy, training, and solution adoption across organizational functions.
  • Monitor, track, and report on organizational AI capability maturity and readiness.
  • Establish a structured AI assessment framework for business units.
  • Design, build, test and support workflows using n8n, APIs, code and low-code tools.
  • Integrate approved AI capabilities into workflows, including document processing, information extraction, analysis and knowledge access.
  • Develop prototypes, demonstrate progress, incorporate feedback and progress through pilot and release gates.
  • Implement human approvals, exception handling, monitoring and recovery mechanisms.
  • Collaborate with platform owners on Google Workspace Enterprise Plus, SAP S/4HANA RISE, internal applications and approved AI services.
  • Apply least-privilege access, secure credential management, data protection and logging/retention.
  • Maintain code and workflow versions using SBC’s engineering practices and on-premise Azure DevOps.
  • Agree operational ownership, support, rollback and handover arrangements before production release.
  • Evaluate AI outputs against representative test cases, including accuracy, reliability, limitations and cost.
  • Measure results against agreed baselines, including effort, cycle time, quality, adoption and operating cost.
  • Distinguish expected benefits from verified results and validate material financial claims with Finance.
  • Recommend whether solutions should be improved, scaled, paused or stopped based on evidence.
  • Establish reusable components, documentation and proportionate delivery standards.
  • Coach developers and support AI Champions with discovery, testing, feedback and adoption.
  • Work with Google, Descasio and other approved partners on technical enablement and knowledge transfer.
  • Report progress, risks, dependencies and decisions to the Head of Business Solutions.
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