Responsibilities

• Drive Quickbooks growth by shaping the strategic direction of our full-funnel marketing investments (Brand Marketing + Performance Marketing) alongside Marketing and Finance leaders through decomposition of GTM strategy and paid media plans into measurable frameworks; identifying the critical assumptions underlying the plan, sizing sensitivity, and designing the measurement that unlocks them
• Operationalize and execute marketing measurement through data instrumentation, reporting, marketing measurement models, experimentation, and other causal measurement techniques, powered by agentic systems
• Synthesize business performance narratives for paid media, leveraging the full complement of marketing measurement tools to clearly articulate the unified understanding of performance drivers and headwinds against growth targets.
• Identify opportunities through insightful analysis and operationalize motions to win against them
• Unpack media channel contribution and drive continuous x-channel optimization to improve customer growth and marketing ROI
• Own the data architecture and systems that power clean views on marketing performance; build and enhance with new data sources and technology integrations.
• Build a durable understanding of our target audiences and the path to grow them via data-backed hypotheses and measurement

Requirements

• 8+ years in data science or analytics, including significant depth in marketing, growth, or go-to-market measurement, with a track record of driving strategy and impact across multiple initiatives or business units.
• Experience with both Brand marketing campaigns and Performance marketing campaigns, as well as unified measurement frameworks that integrate both together to power optimization decisions
• Proven ability to direct growth roadmaps and influence strategy with data-backed hypotheses and measurement initiatives
• Expertise in core marketing measurement techniques include advanced marketing models, experimentation, synthetic control, and channel attribution.
• Ability to partner with XFN leaders and advocate for DS projects that require downstream dependencies, own program prioritization and execution of a broad portfolio of DS responsibilities
• Deep strategic and business management thinking with domain knowledge on core finance, product marketing, and corporate strategy concepts
• Exceptional tops-down executive communication: proven ability to construct a data narrative in dynamic situations with Director and VP-level leaders
• Advanced SQL and Python, hands-on instrumentation and pipeline/ETL construction, and comfort working directly in large, multi-source enterprise data
• Experience building and shipping AI agent systems for use by both internal and external teams
• BS or MS in Statistics, Mathematics, Economics, Econometrics, Operations Research, Computer Science, Engineering, Business or a related quantitative field, or equivalent work experience. Advanced degree preferred.