Senior Manager, Marketing Portfolio and Analysis

Responsibilities

• Own the U.S. paid media reporting, trade-off, investment portfolios insights and framework — guiding where and how budgets are deployed across channels, funnels, and audiences.
• Build scalable reporting and synthesized global analysis to help support management of budget pacing, forecasting, and scenario models that align spend to pipeline, CAC, and ROI goals.
• Partner with Finance, Marketing Strategy, and Regional Leads to determine quarterly allocation strategies and ROI scenarios.
• Identify portfolio-level opportunities and trade-offs — shifting investment based on marginal efficiency and saturation signals.
• Lead ongoing spend optimization check-ins (weekly and monthly) to ensure dollars are driving measurable business outcomes across stages of the funnel.
• Anchor on North Star metrics and reporting structure for performance marketing efficiency (CAC, LTV:CAC, ROI, payback period, MQL-to-pipeline conversion, etc.).
• Partner with Data, Analytics, and RevOps to ensure campaign data integrity across Salesforce, Marketo, and ad platforms.
• Build and maintain dashboards and scorecards (in Looker, Tableau, or BigQuery) that provide real-time visibility into performance.
• Own monthly business reviews (MBRs) and quarterly performance readouts with marketing and leadership stakeholders.
• Work cross-functionally to improve data capture, attribution, and channel-level insight granularity.
• Conduct deep-dive analyses to evaluate channel performance, cohort efficiency, and incremental impact.
• Partner with channel leads (SEM, Paid Social, Display) to identify efficiency drivers and recommend actionable optimizations.
• Run what-if and sensitivity analyses to inform investment decisions under different pipeline or efficiency scenarios.
• Translate complex data sets into clear narratives and executive-ready insights.
• Collaborate with Global Performance Strategy, Regional Marketing, and Finance on annual and quarterly planning.
• Partner with Data Science and Attribution teams to evolve incrementality sing, MMMs, and performance modeling.
• Ensure marketing investment decisions are informed by pipeline contribution and revenue data from Salesforce.
• Serve as the center of excellence for financial discipline, pacing governance, and performance accountability across paid media.

Requirements

• Advanced proficiency with Excel / Google Sheets for budget modeling, pacing, and scenario planning.
• Strong experience with data visualization and BI tools (Looker, Tableau, Power BI, or Data Studio).
• Hands-on familiarity with Salesforce (SFDC) and Marketo for campaign data validation and pipeline attribution.
• Experience querying or analyzing data from BigQuery, Snowflake, or SQL databases.
• Understanding of digital channel data structures (Google Ads, LinkedIn, Meta, DSPs) and their integration with CRM and BI systems.
• Comfort working across attribution models (last touch, MTA, MMM, incrementality) and translating findings for non-technical stakeholders.