Marketing Intelligence & Analytics Manager

Job summary
Permanent contract
San Mateo, CA
Salary: $150K to 230K
Experience: > 5 years
Skills & expertise
Project management
Data engineering
Looker
Google Analytics
Google BigQuery
+3
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Shield AI
Shield AI

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Questions and answers about the job

The position

Job description

  • 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

Benefits

  • Excellent Medical Coverage
  • Mental Health Employee Assistance Program
  • Paid Parental Leave
  • Pet Insurance
  • Flexible Work Hours
  • Onsite Gym (DC)
  • Gym Discount (San Diego)
  • Free Parking
  • Competitive Compensation
  • Stock Benefits
  • 401K Services and Match

Preferred experience

  • 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
  • Experience owning executive-level, cross-functional performance analysis, synthesizing data across channels into a strategic narrative for senior leadership
  • 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
  • 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
  • Highly proactive and self-starting, able to operate with a high degree of ownership and autonomy
  • Strong project management skills, with a demonstrated ability to drive cross-functional initiatives from planning through execution
  • 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

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