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Senior Manager II, Marketing Measurement Strategy

Job in New York, New York County, New York, 10261, USA
Listing for: LinkedIn
Full Time position
Listed on 2026-03-05
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Location: New York

Senior Manager II, Marketing Measurement Strategy

  • Full-time
  • Workplace Type:
    Hybrid
  • Department:
    Marketing & Communications

Linked In is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

At Linked In, 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 Linked In 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.

Linked In’s 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:

  • 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.

MMM Strategy and Leadership

  • 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.

Forecasting, Scenario Planning, and Optimization

  • 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.

MMM Integration and Measurement Context

  • 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.

Cross-Functional and Vendor Leadership

  • 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.

Driving Adoption and Scale

  • Design processes and tools that integrate MMM outputs into marketing planning and budget allocation.
  • 8+ years of experience? no: not to include that line here; instead include qualifications below.

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.
  • Experi…
Position Requirements
10+ Years work experience
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