ABOUT THE ROLE
Were looking for an innovative Head of Ad Tech to lead our advertising technology strategy and drive innovation in the rapidly evolving advertising landscape. This senior leadership role, reporting to the Chief Information Officer, is perfect for a strategic thinker with deep technical expertise who thrives on building cutting-edge ad tech solutions, optimising programmatic campaigns and scaling revenue through advanced advertising technologies.
KEY RESPONSIBILITIES
Strategic leadership & vision
- Develop and execute comprehensive ad tech strategy aligned with business growth objectives and revenue targets
- Drive innovation through AI, machine learning and automation to optimise targeting, creative execution and campaign performance
- Lead digital transformation initiatives and establish best practices for programmatic advertising operations
- Identify emerging market opportunities in new platforms, ad formats and programmatic channels
Technical platform management
- Architect and maintain enterprise-wide ad tech platforms supporting both programmatic and managed service advertising
- Oversee integration and optimization of DSPs, SSPs, DMPs and ad exchanges for maximum efficiency and ROI
- Implement advanced audience targeting capabilities
- Ensure robust data management, privacy compliance and brand safety across all advertising initiatives
Team leadership & development
- Build, lead and mentor a high-performing team of ad tech engineers and programmatic specialists
- Foster cross-functional collaboration with marketing, creative, product, data science and engineering teams
- Establish clear performance metrics, career development pathways and operational excellence standards
- Drive knowledge sharing and continuous learning in fast-evolving ad tech landscape
Revenue growth & partnerships
- Drive user acquisition, retention and engagement through high-impact advertising strategies
- Manage strategic relationships with key ad tech vendors, agencies and technology partners
- Scale programmatic practices to maximise revenue
- Present performance insights and strategic recommendations to senior leadership and key stakeholders
REQUIRED QUALIFICATIONS, EXPERIENCE AND COMPETENCIES
Education & experience
- Honours degree in Computer Science, Engineering, Mathematics or related field
- At least six years of progressive experience in digital advertising, ad tech or programmatic advertising
- Minimum four years in senior leadership roles managing ad tech teams and P&L responsibility
- Proven track record of scaling ad tech operations and delivering significant revenue growth
Technical expertise
- Deep expertise in programmatic advertising ecosystems including DSPs, SSPs, ad exchanges, and real-time bidding
- Advanced knowledge of Google Ad Manager, Prebid, The Trade Desk, Amazon DSP and other major platforms
- Strong understanding of data management platforms (DMPs), customer data platforms (CDPs), and audience segmentation
- Experience with ad serving technologies, attribution modelling and cross-device tracking
- Proficiency in SQL, Python/R and advanced analytics tools for campaign optimisation
- Knowledge of privacy regulations (GDPR, CCPA) and their impact on advertising technology
Leadership & business acumen
- Exceptional leadership skills with demonstrated ability to inspire and manage technical teams in fast-paced environments
- Strong analytical and problem-solving abilities with data-driven decision-making approach
- Outstanding communication and presentation skills for internal and external stakeholder management
- Experience managing budgets, vendor relationships, and complex technology integrations
- Strategic thinking ability to translate technical capabilities into business opportunities
Industry knowledge
- Deep understanding of digital advertising trends, including CTV/OTT, mobile, video and emerging ad formats
- Experience with AI/ML-driven automation tools and predictive analytics for advertising optimisation
- Knowledge of brand safety tools, fraud prevention and ad quality management systems
- Understanding of attribution modelling, multi-touch attribution and measurement frameworks
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