Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
San Mateo, California
Live, first seen by us todayEmployment type: Full-timeFrom the employer’s posting
Department: Growth Division › Business Development MarketingFrom the employer’s posting
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Define marketing data and reporting requirements with stakeholders
Design how marketing data is structured, stored, and governed
Own centralized marketing dashboards across the funnel
Lead CMO-level cross-channel performance analyses
Prepare executive updates and strategic storylines for leadership and C-suite
Own the definition of marketing data and reporting requirements
Design how marketing data is structured, stored, and governed
Own the design and maintenance of centralized reporting and dashboards across the marketing funnel
Lead cross-functional performance analyses at the CMO level
Prepare executive updates, business reviews, and strategic storylines for Marketing leadership and 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
Experience owning executive-level, cross-functional performance analysis, synthesizing data across channels into a strategic narrative for senior leadership
Experience with analytics tools such as Google BigQuery, Google Analytics, Marketo, Looker Studio / Tableau, and Salesforce
Familiarity with marketing funnel measurement and attribution models
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$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 0
Early. Similar jobs usually come down between day 7 and day 54.
From 7,977 similar postings that came down. Coming down is not always a hire.
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Open jobs by the week we first saw them, last 12 weeks.
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- 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
- 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
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Yes. We’ve followed one other Marketing Intelligence & Analytics Manager job there since October 2026. It is still up.
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
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.
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
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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 employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
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San Mateo, California
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