Senior Manager
- Marketing Measurement Strategy and Testing Marketing & CommunicationsLinkedIn 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 aspire to create a culture that's built on trust, care, inclusion, and fun – where everyone can succeed.
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At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. This role may be remote or hybrid. At LinkedIn, hybrid roles are performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. Remote roles are performed from the designated home work location upon time of hire, and any changes to this home work location requires a review of remote status and approval.
This role will report within the Marketing Measurement team that oversees measurement frameworks, strategy, and testing across all LinkedIn business units. The team ensures the latest in measurement methodologies are applied to unlock marketing growth and deliver against our business goals. The main portfolio for this role will focus on developing our Attribution programs for performance management in our Field and Enterprise B2B business space.



We expect the candidate to have a solid understanding of attribution frameworks, including Multi-touch attribution, customer churn, andLLM-based attribution models, and their utility for performance management, goal setting, and campaign optimization for business adoption.
Manager, Measurement Strategy, will build robust cross-functional relationships with Data Science, Demand Gen Ops, Marketing performance, and FP&A; to develop models that reflect the needs of the business and the value they will deliver.
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Responsibilities:
Become the program manager and ‘go-to’ for our in-house attribution model, leading its adoption and roadmap to scale across LinkedIn globallyDriving organizational adoption, alignment and change management for attribution methodologies.
Present measurement outcomes and investment recommendations to key decision makersManage and own a multi-year implementation roadmap for attribution capabilities incorporating different goals, requirements, and timelines.
Identify B2B customer lifecycle stages and partner with Data Science teams to design models that help identify marketing effectiveness against each stageCollaborate with DGOps, Data Science,



Measurement Testing and Marketing teams to build a unified roadmap and key deliverable milestonesBring subject matter expertise to evolve existing methodology and enhance our model capabilities, with support from MMM and Testing programsBuild investment cases and own the ROI of the program and communicate the ROI lift achieved through adoption of Model in operationsSupport team’s efforts in building sandbox plans that rely on MA and MMM to replace Last-Click attributionWork with our channel teams on investment use cases and optimizations in flight (Cross BU)Build a growth plan to expand Modeled Attribution capabilitiesSupport our media execution teams to drive the adoption, get feedback and improve our model scopeWork closely with marketing teams to optimize channel effectiveness and optimize marketing spend with our measurement modelsWork with testing team or build proposals on validating performance resultsOversee the team’s efforts in tying MMM incrementality signals in MAScope out needs of DGOps and FP&A; on key requirements for planning, connecting with MMM lead on how planning will work top downBringing innovation and ideation to keep LinkedIn Measurement models best-in-class across the industryBasic

Qualifications:
8+ years of marketing experience in GTM, Ops, or Analytics5+ years of experience in a data analytics roleBA or BS degree or equivalent experiencePreferred

Experience:
Experience driving execution of roadmaps across technical and business teams.
Proficiency in data analysis, modeling and visualization to solve complex business problems, with knowledge of B2B attribution modeling and ROI analysisExperience working on attribution and measurement models for B2B businessesUnderstanding of business needs including both operations and planningStrong analytical and quantitative skills, with proficiency in data analysis tools and programming lan

📌 Senior Manager (Winnipeg)
🏢 LinkedIn
📍 Winnipeg