Senior Manager II, Marketing Measurement Strategy

At LinkedIn our approach to flexible work is centered on trust and optimized for culture connection clarity and the evolving needs of our business. The work location of this role is hybrid meaning it will be performed both from home and from a LinkedIn office on select days as determined by the business needs of the team. 

This role can be based in our New York City San Francisco Sunnyvale Mountain View or Chicago office.

LinkedIns Marketing Measurement team uses Marketing Mix Modeling (MMM) to inform marketing investment decisions and performance management. This role leads the application of MMM translating model outputs into forecasts scenarios and planning guidance that directly shape marketing investment decisions.

This is a Senior Individual Contributor II role focused on driving how MMM is used in planning and optimization not just reporting results. The role partners closely with Finance marketing analytics and external modeling partners and is accountable for integrating MMM into ongoing planning and budget allocation.

Responsibilities:

MMM Strategy and Leadership

• Lead interpretation and application of MMM results.
• Translate model outputs into clear ROI narratives investment guidance and planning implications.
• Set guardrails for how MMM results should and should not be used in decision making.

Forecasting Scenario Planning and Optimization

• Design and drive scenario planning using MMM outputs to support what-if analyses and optimization decisions.
• Build directional forecasts and spend scenarios for annual and in-year planning.
• Partner with Finance Operations and Marketing teams to align MMM-based insights with planning and budget decisions.

MMM Integration and Measurement Context

• Integrate MMM outputs with incrementality testing attribution and other measurement inputs where appropriate.
• Reconcile differences across measurement approaches and communicate implications clearly.
• Explain confidence levels and limitations in a practical decision-oriented way.

Cross-Functional and Vendor Leadership

• Act as the primary liaison between MMM vendors and internal teams consuming the outputs.
• Gather refine and prioritize requirements so MMM outputs address key business questions.
• Represent MMM perspectives in planning discussions presentations and executive-facing conversations.

Driving Adoption and Scale

• Design processes and tools that integrate MMM outputs into marketing planning and budget allocation.
• Lead adoption and change efforts in a matrixed environment.
• Improve how MMM results are shared and applied so teams can move from insight to action efficiently.

Qualifications :

Basic Qualifications:

• BA/BS degree in Finance Marketing Data Science Statistics STEM or equivalent experience.
• 8 years of experience in marketing analytics measurement or strategy
• 3 years of hands-on experience with Marketing Mix Modeling including interpretation and real-world application

Preferred Qualifications:

• Hands-on experience with marketing analytics tools scenario planners or MMM software
• Experience using incrementality testing or other causal measurement approaches to complement MMM
• Experience applying MMM outputs to support planning optimization and budget decisions
• Experience using MMM-based scenario planning to inform marketing investment decisions
• Experience explaining assumptions limitations and confidence behind modeled outputs to stakeholders
• Experience operating in ambiguous environments and leading change through influence
• Understanding of marketing measurement methods and optimization processes
• Clear communication and data storytelling skills with the ability to influence and align senior stakeholders

Suggested Skills:

• MMM interpretation and application
• Scenario planning and forecasting using modeled data
• Marketing measurement strategy and optimization
• Cross-functional stakeholder leadership and influence
• Executive communication and data storytelling
   

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $162000 to $265000.

Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location. This may be different in other locations due to differences in the cost of labor.

The total compensation package for this position may also include annual performance bonus stock benefits and/or other applicable incentive compensation plans. For more information visit Information :

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No

Employment Type :

Full-time