Sr. Business Systems Analyst
Senior Business Systems Analyst on Avalara's Marketing Technology team, owning the prioritized backlog and delivery across lead intake/enrichment/routing services and the Marketo platform. Day to day: writing acceptance criteria, tracking KPIs like speed-to-lead, governing Salesforce-Marketo mappings, and using AI heavily for requirements, monitoring, and documentation.
- Compensation
- Not disclosed
- Location
- United States
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Business analysis
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Engineering, Information Management, or related technical field, or equivalent professional experience
- 6–10+ years in MarTech product ownership (MAP + CRM + integrations)
- Hands-on project experience in GTM systems, Marketo architecture, and Workfront/Fusion or equivalent intake automation
- Proven backlog ownership and cross-functional leadership (Marketing, RevOps, Engineering, Analytics)
- Strong grasp of lead lifecycle, enrichment, dedupe, and routing; consent/tagging/UTM alignment
- Familiarity with Outreach/SDR workflows and server-side personalization/drafting patterns
- Data fluency; comfort with metrics/KPIs and incident/root-cause narratives
- 2+ years of hands-on experience applying AI tools to product, backlog, and system health monitoring
- Experience identifying AI-assisted monitoring use cases for platform health and performance indicators
- Development of agents supporting triage and issue resolution for data flows and other critical business use cases
Full description
What You'll Do
Avalara's Marketing Technology team needs a Sr. Business Analyst to drive roadmap and delivery across two critical systems: our lead intake/enrichment/routing services and the Marketo platform (MAU) that powers campaign execution. Reporting to our Director of Enterprise Sytems, Marketing Technology, you'll be the person who turns Marketing, RevOps, and Engineering priorities into a single, prioritized backlog with measurable outcomes. Unlike product roles scoped to one system, you'll own the connective tissue between lead data quality and campaign delivery, giving you direct visibility into how technical decisions affect pipeline speed and accuracy.
What Your Responsibilities Will Be
Most days you're grooming and prioritizing the backlog across the MLE and MAU teams, writing acceptance criteria, and making trade-off calls on what ships next, increasingly using AI to draft requirements and surface edge cases before they hit engineering. You'll track KPIs like speed-to-lead, misrouting, and sync reliability, using AI-assisted analysis to spot patterns in data-quality or routing failures before they show up in stakeholder reports. You'll also govern Salesforce-Marketo field mappings and MSI usage, resolving schema drift and sync errors as they surface, and drive Workfront-to-Marketo automation patterns that cut campaign build time. Day to day, you're documenting roadmaps, project health, and playbooks, using AI to keep that documentation current as the systems evolve.
What You'll Need to be Successful
- Bachelors degree in Computer Science, Engineering, Information Management, or a related technical field, or equivalent professional experience demonstrating analytics, business operations, or technical program management.
- 6–10+ years in MarTech product ownership (MAP + CRM + integrations) with hands-on project experience in GTM systems, Marketo architecture and Workfront/Fusion or equivalent intake automation.
- Proven backlog ownership and cross-functional leadership (Marketing, RevOps, Engineering, Analytics).
- Strong grasp of lead lifecycle, enrichment, dedupe, and routing; consent/tagging/UTM alignment.
- Familiarity with Outreach/SDR workflows and server-side personalization/drafting patterns.
- Data fluency; comfort with metrics/KPIs and incident/root-cause narratives.
AI
- 2+ years of hands-on experience applying AI tools to product, backlog, system health monitoring — not just familiarity with the concepts
- Experience in identifying AI assisted monitoring use cases for platform health and performance indicators
- Development of agents in support of triage and issue resolution for data flows/other critical business use cases
Avalara is an AI-first Company