Head of Ad Operations - AI-Driven Retail Media

Takealot Group

Cape Town

On-site

ZAR 1,200,000 - 2,200,000

Full time

5 days ago
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Job summary

Takealot Group is seeking an exceptional Head of Advertising Operations to lead and scale our growing retail media network in Cape Town. You will oversee a team of advertising professionals and drive end-to-end operational excellence across campaigns and platforms.

The role combines strategic thinking with hands-on execution, including AI-enabled optimization, data-driven decision making, and cross-functional collaboration with product and engineering.

Qualifications

  • Bachelor’s degree in analytics, business administration, or similar.
  • 8–10 years in advertising operations, campaign management, or related roles.
  • Proven leadership experience managing large teams and developing talent.
  • Deep expertise in AdTech or MarTech ecosystems.
  • Experience implementing AI/ML tools in advertising, marketing, or analytics.

Responsibilities

  • Drive operational efficiency across campaigns, workflows, and processes to maximize output.
  • Optimize our retail media platform to improve campaign performance, reporting accuracy, and advertiser satisfaction.
  • Establish and monitor KPIs that measure operational health, team productivity, and campaign effectiveness.
  • Build and refine SOPs, playbooks, and frameworks that enable the team to scale.
  • Lead the strategy and implementation of AI-driven solutions to enhance campaign optimization.

Skills

Leadership
Analytics
AI/ML
AdTech
MarTech
Team development
KPI management

Education

Bachelor’s Degree in Analytics
Business Administration

Tools

Osmos

Job description

Takealot Group is seeking an exceptional Head of Advertising Operations to lead and scale our growing retail media network in Cape Town. You will oversee a team of advertising professionals and drive end-to-end operational excellence across campaigns and platforms.

The role combines strategic thinking with hands-on execution, including AI-enabled optimization, data-driven decision making, and cross-functional collaboration with product and engineering.

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