Marketing Intelligence & Analytics Manager (R6054)

Shield AI is seeking a highly motivated Marketing Intelligence & Analytics Manager to own the analytics strategy for the Marketing organization, and to drive operational execution alongside it. This role will work closely with Marketing leadership and cross-functional partners to define how marketing data is structured, reported, and used to inform decisions. 

The ideal candidate combines a strategic mind with hands-on technical fluency. They can sit with stakeholders to define requirements and design how data should be structured and stored, partner closely with technical builders on pipeline and infrastructure decisions, and own cross-functional performance analysis at the CMO level, turning that analysis into clear storylines for the C-suite. 

5-8 years of experience in marketing analytics, marketing operations, strategy consulting, or a similar role, with a track record spanning both strategic analysis and data/schema ownership 

Demonstrated experience defining data and reporting requirements with stakeholders and designing how that data should be structured and stored 

Hands-on technical fluency, including SQL, data modeling, and enough understanding of ETL and data pipeline concepts to partner effectively with engineers and MarTech on build decisions 

Experience owning executive-level, cross-functional performance analysis, synthesizing data across channels into a strategic narrative for senior leadership 

Strong storytelling and executive communication skills, with the ability to translate complex data into clear, C-suite-ready narratives 

Experience with analytics tools such as Google BigQuery, Google Analytics, Marketo, Looker Studio / Tableau, and Salesforce 

Strong project management skills, with a demonstrated ability to drive cross-functional initiatives from planning through execution 

Highly proactive and self-starting, able to operate with a high degree of ownership and autonomy 

Direct experience building or maintaining ETL pipelines, data models, or analytics infrastructure 

Familiarity with marketing funnel measurement and attribution models 

Fluent in AI/automation tools to improve analytics, reporting, or marketing workflows