Marketing Data & Analytics Strategy Manager (R6054)

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

What you'll do:

Own the definition of marketing data and reporting requirements. Partner with stakeholders across Marketing and cross-functional teams to translate business questions into clear data specifications, schemas, and reporting structures 

Design how marketing data is structured, stored, and governed, partnering closely with MarTech, data engineering, and contractors to ensure infrastructure and pipeline decisions map back to business requirements 

Bring enough technical fluency (SQL, data modeling, ETL concepts) to review technical designs, troubleshoot issues, and be a credible partner to the engineers and vendors building the infrastructure 

Own the design and maintenance of centralized reporting and dashboards across the marketing funnel, ensuring a consistent, single source of truth for leadership 

Lead cross-functional performance analyses at the CMO level, synthesizing data across channels and functions into a clear view of what happened, why, and what to do next 

Prepare executive updates, business reviews, and strategic storylines for Marketing leadership and the C-suite, translating complex data into clear, action-oriented narratives 

Partner with Marketing leadership on annual and quarterly operating plans, defining metrics and targets and tracking progress against goals 

Proactively identify opportunities to improve data quality, instrumentation, and operational efficiency across marketing programs 

Required qualifications:

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 

Preferred qualifications:

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 

Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employ …