Marketing Data & Analytics Strategy Manager (R6054)
San Mateo · USD 150,000-230,000 / year · 5-8 years experience · Onsite · Posted Sep 24, 2026
At a glance
- Experience
- 5-8 years experience
- Workplace
- Onsite
- Location
- San Mateo
- Salary
- USD 150,000-230,000 / year
About the role
- Shield AI is seeking a Marketing Data & Analytics Strategy Manager (R6054) to own the definition of marketing data and reporting requirements.
- The role involves designing how marketing data is structured, stored, and governed, partnering closely with MarTech, data engineering, and contractors.
- The manager will lead cross-functional performance analyses at the CMO level, synthesizing data across channels and functions into clear strategic narratives.
Responsibilities
- 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.
- Review technical designs, troubleshoot issues, and partner with engineers and vendors building the infrastructure using technical fluency.
- Own the design and maintenance of centralized reporting and dashboards across the marketing funnel.
- Lead cross-functional performance analyses at the CMO level, synthesizing data across channels and functions.
- Prepare executive updates, business reviews, and strategic storylines for Marketing leadership and the C-suite.
- 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.
Requirements
- 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 understanding of ETL and data pipeline concepts.
- 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.
Benefits
- Bonus
- Benefits
- Equity
- Temporary benefits package (applicable after 60 days of employment for temporary employees)
Skills
- SQL
- Data Modeling
- ETL Concepts
- Google BigQuery
- Google Analytics
- Marketo
- Looker Studio
- Tableau
- Salesforce