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We are looking for a strategic, data-driven marketing leader to oversee portfolio management, performance insights, and investment optimization across our U.S. performance marketing programs. As the Senior Manager, Portfolio & Analysis, you’ll be responsible for unifying the view of marketing efficiency — connecting spend, pipeline, and ROI across channels (paid search, paid social, programmatic, display, and emerging digital). You’ll act as the key business partner to regional marketing, finance, and analytics teams to optimize budgets, inform investment decisions, and ensure marketing performance aligns with company growth objectives. This role sits at the intersection of strategy, analytics, and operations — ideal for someone who enjoys turning data into direction, building systems of insight, and driving cross-functional accountability for performance.
Job Responsibility:
Own the U.S. paid media reporting, trade-off, investment portfolios insights and framework
Build scalable reporting and synthesized global analysis to help support management of budget pacing, forecasting, and scenario models
Partner with Finance, Marketing Strategy, and Regional Leads to determine quarterly allocation strategies and ROI scenarios
Identify portfolio-level opportunities and trade-offs
Lead ongoing spend optimization check-ins (weekly and monthly)
Anchor on North Star metrics and reporting structure for performance marketing efficiency
Partner with Data, Analytics, and RevOps to ensure campaign data integrity across Salesforce, Marketo, and ad platforms
Build and maintain dashboards and scorecards
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 to identify efficiency drivers and recommend actionable optimizations
Run what-if and sensitivity analyses to inform investment decisions
Translate complex data sets into clear narratives and executive-ready insights
Collaborate on annual and quarterly planning
Partner with Data Science and Attribution teams to evolve incrementality testing, 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:
8+ years of experience in performance marketing, marketing analytics, or growth finance, ideally within B2B SaaS or fintech
Proven success in building detailed, streamlined and scalable models for optimizing for efficiency and pipeline outcomes
Strong understanding of marketing funnel dynamics, from awareness to closed-won revenue
Excellent communication and executive-presentation skills
able to influence cross-functional decision-making
Deep comfort working with ambiguity, connecting disparate data sources, and building clarity through structure
Bachelor’s degree in Business, Marketing, Economics, or Data Analytics (MBA a plus)
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
Nice to have:
Experience in a global marketing organization supporting multiple regions and segments
Familiarity with MMM, incrementality testing, and marketing mix modeling methodologies
Knowledge of data warehouse structures and ETL processes supporting marketing analytics
Experience building or maintaining automated pacing and performance reporting tools