Marketing Data & Analytics Strategy Manager

Location: San Mateo, California, United States; Workplace: On-site

Company

hirify.global develops artificial intelligence systems and autonomous technologies.

What you will do

• Define marketing data, reporting requirements, schemas, and reporting structures with Marketing and cross-functional stakeholders.
• Design how marketing data is structured, stored, governed, and connected to infrastructure and pipeline decisions.
• Partner with MarTech, data engineering, contractors, and vendors on data infrastructure, technical designs, and troubleshooting.
• Own centralized marketing-funnel reporting and dashboards as a consistent source of truth for leadership.
• Lead cross-functional performance analyses, operating plans, metric tracking, and strategic business reviews.
• Prepare executive narratives and identify opportunities to improve data quality, instrumentation, and operational efficiency.

Requirements

• 5–8 years of experience in marketing analytics, marketing operations, strategy consulting, or a similar role.
• Experience defining data and reporting requirements and designing data structures and storage models.
• Technical fluency in SQL, data modeling, ETL, and data pipeline concepts.
• Experience with executive-level, cross-functional performance analysis and strategic communication.
• Experience with Google BigQuery, Google Analytics, Marketo, Looker Studio or Tableau, and Salesforce.
• Strong project management, ownership, autonomy, and cross-functional execution skills.

Nice to have

• Experience building or maintaining ETL pipelines, data models, or analytics infrastructure.
• Familiarity with marketing funnel measurement and attribution models.
• Fluency in AI and automation tools for analytics, reporting, or marketing workflows.

Culture & Benefits

• Full-time employee position within the Growth Division – Business Development Marketing.
• Work closely with Marketing leadership, technical teams, MarTech, data engineering, and external contractors.
• High degree of ownership and autonomy in shaping marketing data and analytics operations.