Senior Manager, Advertising Strategy & Intelligence, AI Technologies

Change the world. Love your job.

About the role:

The Senior Manager of Advertising Strategy & Intelligence, AI Technologies reports to the head of Brand Marketing and External Channels and is responsible for defining, operationalizing and scaling AI across external marketing and advertising efforts, to drive business growth. This role is accountable for shaping strategy, influencing investment decision and integrating automation and intelligence into how the organization plans, executes and measures advertising and marketing efforts. This role will serve as the organization’s AI authority for brand marketing and external channels, setting the vision, prioritizing where AI creates the most value, and ensuring successful implementation and adoption across teams.

What you will gain from this role: 

• Drive critical advertising technology and innovations and serve as the primary AI strategist for external marketing and advertising initiatives, positioning the company at the forefront of AI-driven evolution.
• Build cross-functional relationships with real influence – working across Brand Marketing, agency partners, IT and Digital Selling teams to connect advertising strategy to data infrastructure and AI capabilities.
• Shape how the company modernizes its advertising engine across external channels and broader AI-powered workflows and marketing experiences.

Primary responsibilities include: 

• Defining and executing a clear, AI transformation vision and roadmap for Brand Marketing & External Channels by establishing strategic priorities for AI investment across external marketing channels, identifying emerging opportunities that align with business objectives, and building the framework to scale AI capabilities from pilot to enterprise-wide adoption. 
• Developing AI-driven advertising strategies and workflows by serving as the central point of expertise for AI applications within external marketing and advertising functions. Experiment with capabilities such as account-based personalization, intent-signal activation and designing AI-powered workflows that drive meaningful outcomes.
• Building advanced full-funnel advertising intelligence by integrating audience signals, campaign performance data, and business outcomes into actionable steps – translating data into channel investment recommendations, creating iterative learning loops and developing processes and collaborating with partner teams so that performance data informs future strategy, channel optimization and programs.
• Leading modern approaches to advertising measurement, evolving attribution strategy, designing measurement frameworks that capture external marketing value across all touchpoints. 
• Collaborating with partner organizations – translating advertising use cases into CDP configurations and data warehouse requirements, working closely with the teams who own the underlying data and platforms, and engaging in platform roadmap conversations as a representative of external marketing needs, and facilitating cross-functional working groups.

Minimum requirements:

• Bachelor’s degree in Marketing, Business, Data Analytics, Computer Science or a related field.

• 8+ years in advertising, marketing technology, digital marketing or a closely related area where data and technology drive decision-making.

   

Preferred qualifications:

• Analytical foundation including SQL and statistical analysis and proficiency with measurement tools such as GA4 and BI tools
• Experience implementing AI solutions in marketing or advertising, such as workflow automation, AI-first planning, or advertising intelligence applications
• In-depth understanding and experience with centralized data warehouses, advertising management, marketing technology and automation platforms (Campaign / Ad Managers, ABM, DSP, CDP, etc.)
• Experience in a cross-functional or matrixed environment where you influenced outcomes without direct authority with data science, IT teams
• Experience applying AI concepts in advertising or marketing, such as LLM applications, agentic workflows, campaign planning, creative/content intelligence, predictive modeling, or signal-based approaches
• Advanced analytics experience with inference, machine learning or predictive modeling 
• Track record of building productive working relationships across different functions.
• Experience driving organizational change and innovation in marketing