Senior MarTech Systems Analyst: Marketo & Campaign Ops

Avalara, Inc.

United States

Remote

USD 110,000 - 165,000

Full time

48 hours ago
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Benefits offered by this job

Bonuses
Paid time off
Paid parental leave
Private medical insurance
Life and disability insurance
Inclusive culture with ERGs

Job summary

Avalara’s Marketing Technology team is seeking a Senior Business Analyst to drive roadmap and delivery across lead intake/enrichment/routing services and the Marketo platform (MAU) that powers campaign execution. Reporting to the Director of Enterprise Systems, Marketing Technology, you will own the backlog across MLE and MAU, defining acceptance criteria and measuring outcomes.

This role merges Marketing, RevOps, and Engineering priorities to improve pipeline speed and accuracy with data-driven

Qualifications

  • Bachelor's degree in a technical field or equivalent experience.
  • 6–10+ years in MarTech product ownership with GTM, Marketo, and Workfront/Fusion experience.
  • Proven backlog ownership and cross-functional leadership.

Responsibilities

  • Groom and prioritize the backlog for the MLE and MAU teams.
  • Define acceptance criteria and trade-offs for upcoming releases.
  • Govern Salesforce–Marketo field mappings and data quality; resolve schema drift.
  • Document roadmaps, health metrics, and playbooks with AI-assisted updates.

Skills

Backlog ownership
Cross-functional leadership
MarTech product ownership
Lead lifecycle & routing
Data-driven decisions

Education

Bachelor's degree or equivalent

Tools

Marketo
Salesforce
Workfront
Fusion

Job description

Avalara’s Marketing Technology team is seeking a Senior Business Analyst to drive roadmap and delivery across lead intake/enrichment/routing services and the Marketo platform (MAU) that powers campaign execution. Reporting to the Director of Enterprise Systems, Marketing Technology, you will own the backlog across MLE and MAU, defining acceptance criteria and measuring outcomes.

This role merges Marketing, RevOps, and Engineering priorities to improve pipeline speed and accuracy with data-driven

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