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Shield AI, a venture-backed defense-tech company, is seeking a Marketing Data & Analytics Strategy Manager to lead the definition, design, and governance of marketing data infrastructure and reporting. You will own the end-to-end data strategy for the marketing function, partnering with stakeholders across Marketing and cross-functional teams to translate business questions into clear data specifications, schemas, and reporting structures.
Key responsibilities include:
• Defining marketing data and reporting requirements by partnering with stakeholders to translate business questions into technical specifications and schemas
• Designing how marketing data is structured, stored, and governed, working closely with MarTech, data engineering, and contractors to ensure infrastructure and pipeline decisions align with business needs
• Bringing technical fluency (SQL, data modeling, ETL concepts) to review technical designs, troubleshoot issues, and serve as a credible partner to engineers and vendors
• Owning the design and maintenance of centralized reporting and dashboards across the marketing funnel, establishing a single source of truth for leadership
• Leading cross-functional performance analyses at the CMO level, synthesizing data across channels and functions to provide clear insights on what happened, why, and recommended next steps
• Preparing executive updates, business reviews, and strategic narratives for Marketing leadership and the C-suite, translating complex data into action-oriented stories
• Partnering with Marketing leadership on annual and quarterly operating plans, defining metrics, targets, and tracking progress
• Proactively identifying opportunities to improve data quality, instrumentation, and operational efficiency across marketing programs
Requirements:
• 5–8 years of experience in marketing analytics, marketing operations, strategy consulting, or 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 data should be structured and stored
• Hands-on technical fluency including SQL, data modeling, and understanding of ETL and data pipeline concepts to partner effectively with engineers and MarTech
• Experience owning executive-level, cross-functional performance analysis, synthesizing data across channels into strategic narratives for senior leadership
• Strong storytelling and executive communication skills, with 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 demonstrated ability to drive cross-functional initiatives from planning through execution
• Highly proactive and self-starting, able to operate with 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
• Fluency in AI/automation tools to improve analytics, reporting, or marketing workflows
