Senior Marketing Data & Analytics Lead

Project Management Institute; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Project Management Institute seeks a Manager, Marketing Data and Analytics to own the business data architecture and metric definitions behind Marketing's numbers. You will lead a small team of analysts and partner with Data Engineering and Snowflake to ensure data products reflect business reality.

You will define semantic models across marketing, customer, product, and revenue data, drive cross-domain analytics, and oversee predictive initiatives and executive reporting.

Qualifications

• 10+ years in marketing analytics, customer analytics, analytics engineering, or related disciplines, with prior leadership of an analytics team.
• Hands-on SQL and data modeling experience across large-scale datasets.
• Experience leading and developing an analytics team while remaining technically hands-on.
• Experience designing business/data models and specifying them for engineering teams to build against.
• Familiarity with semantic layer concepts and enterprise BI platforms.
• Strong communication and storytelling for executive audiences.

Responsibilities

• Own Marketing's business data architecture, metric definitions, and context layer.
• Lead three to four analysts, set standards, and develop analytical capability.
• Define semantic models and validate data products against business specifications.
• Govern analytics deliverables in BI platforms and ensure data lineage and reconciliation.
• Collaborate with Data Engineering on transformation logic and data contracts.
• Lead predictive analytics initiatives including churn, retention, and attribution models.

Skills

Advanced SQL

Data modeling

Team leadership

Analytical thinking

Tools

Snowflake

BI tools

Adobe Analytics

Job description

Project Management Institute seeks a Manager, Marketing Data and Analytics to own the business data architecture and metric definitions behind Marketing's numbers. You will lead a small team of analysts and partner with Data Engineering and Snowflake to ensure data products reflect business reality.

You will define semantic models across marketing, customer, product, and revenue data, drive cross-domain analytics, and oversee predictive initiatives and executive reporting.