Head of Ad Ops

The Head of Ad Ops at Uplift will spearhead the execution and optimization of performance-based advertising. This role involves leading the Product Ops team, using data-driven insights to enhance campaign performance, and integrating innovative AI tools for improved ad delivery efficiency. Furthermore, the position requires collaboration with other teams to align advertising operations with the company’s broader business objectives.

To excel as the Head of Ad Ops at Uplift, candidates need to possess over five years of experience in mobile advertising or ad tech, with a minimum of two years in a leadership role. Essential qualifications include a solid understanding of ad platforms, programmatic trading, and managing high-budget campaigns, as well as strong analytical, problem-solving, and leadership capabilities.

As the Head of Ad Ops, you will leverage advanced tools including machine learning models, predictive analytics, and various automation technologies. A strong foundation in programming languages like Python and SQL is advantageous for analyzing data and developing effective ad operations strategies.

Uplift is committed to fostering an environment that supports professional development. The Head of Ad Ops will have access to training materials, leadership resources, and opportunities for collaboration across different teams, all designed to enhance skills in campaign management and technology integration.

The Head of Ad Ops at Uplift will encounter several challenges, including managing ad fraud, ensuring compliance with regulations like GDPR and CCPA, and delivering consistent revenue growth in a fast-paced ad tech landscape. Strategic thinking and innovative problem-solving will be essential to overcome these hurdles.

When asked about optimizing campaign performance, outline your process of leveraging data analytics, machine learning models, and real-time feedback to make informed decisions. Highlight specific tools you have used and provide examples of successful campaigns you've enhanced through optimization strategies.

Discuss your previous experience overseeing substantial budgets in advertising, detailing how you prioritized ROI and revenue growth. Provide examples of how you monitored performance metrics and adjusted strategies accordingly to ensure campaign success.

Address your familiarity with regulations such as GDPR and CCPA, and explain the measures you take to ensure compliance during campaign execution. Mention any tools or processes you implement to monitor compliance and mitigate risks associated with ad fraud or invalid traffic.

Use the STAR method to illustrate your leadership abilities during change management. Focus on your communication strategy, team engagement initiatives, and how you ensured the team was aligned with the new objectives while minimizing disruption.

Highlight the importance of data science in ad operations, particularly how it drives decision-making and enhances campaign strategies. Discuss your knowledge of data analysis, predictive modeling, and how these techniques contribute to improving campaign performance and client outcomes.

Detail your approach to risk management, emphasizing your analytical skills and use of data to identify potential issues such as ad fraud. Discuss how you develop and implement strategies to mitigate those risks proactively.

Share a specific example where you successfully integrated AI tools within your ad operations. Discuss the tools used, the impact on efficiency and performance, and any measurable results that highlighted the success of this integration.

Discuss your client management strategies, focusing on communication, responsiveness, and understanding client needs. Highlight how you build trust and ensure satisfaction through regular updates and transparency during campaign progress.

Emphasize your ability to foster a collaborative environment by creating channels for communication and teamwork between sales, marketing, and product teams. Provide examples of initiatives you've led to improve joint efforts and achieve shared objectives.

Personalize your response with specific ad technology trends that interest you, such as advancements in programmatic buying or machine learning in ad optimization. Explain why these innovations are significant and how they could transform the advertising landscape.