Marketing Data & Analytics Strategy Manager, Shield AI

• 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

Desirable

• Shield AI is seeking a highly motivated Marketing Data & Analytics Strategy Manager to own the data and 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
• 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