LinkedIn · 2 days ago
Marketing Measurement Data Manager
LinkedIn is the world’s largest professional network, dedicated to creating economic opportunities for its members. The Marketing Measurement Data Manager role focuses on managing data infrastructure for Marketing Mix Modeling (MMM), ensuring data integrity, and coordinating with various teams to optimize marketing investment decisions.
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Responsibilities
Manage end-to-end data collection from MMM sources including Agencies, Singular/Campaign Central, DataWatch, and Fawkes
Execute data egress and transfer workflows to vendor partners for: Monthly LMS US models, Quarterly models across LMS UK, Consumer US/UK, LSS US/UK, LTS US/UK, Parent Brand US/UK
Validate and reconcile data during platform transitions
Lead investigation and integration of new datasets to enhance MMM models
Explore and identify data availability to model additional countries or business units
Execute validation frameworks that check channel-level inputs, KPI availability, data completeness, format accuracy, and historical variance/anomaly detection
Partner with data engineering, data operations, and vendors on UAT requirements and data cuts for MMM models and re-models
Conduct detailed comparisons to ensure historical and future conversion figures remain reliable
Diagnose data quality issues during validation workflows and coordinate resolution with source system owners
Develop and maintain standardized processes and documentation for data QA
Support quarterly validation workflows to reduce cycle time through pipeline-based checks
Identify opportunities to streamline data collection, validation, and reporting processes
Partner with GTMDS and data engineering teams on automation priorities for quality checks, egress, and ingestion workflows
Document processes and build playbooks that reduce manual interventions
Serve as key point of contact for data dependencies across GPO and Agency partners on MMM initiatives
Coordinate quarterly and monthly modeling cycles across internal teams and external vendors
Maintain clear communication on data timelines, dependencies, and blockers
Collaborate with analytics and data engineering teams to resolve data issues (note: data engineering support provided by partner team)
Data delivered accurately and on time with minimal errors or rework
Validation cycle time reduced through automation and standardized processes
Strong partnership feedback from internal teams, agencies, and vendors
Clear documentation and knowledge sharing that scales team capabilities
Qualification
Required
BA/BS degree in Finance, Marketing, Data Science, Statistics, STEM, or equivalent experience
4+ years of experience in marketing analytics, data analytics, or a related role
3+ years in a data analytics role with SQL and Python or similar data analysis tools and programming languages
Preferred
Experience supporting marketing measurement programs, such as Marketing Mix Modeling (MMM) or attribution
Experience managing recurring data collection and validation workflows across multiple data sources
Experience diagnosing data quality issues and coordinating fixes with technical and non-technical partners
Familiarity with marketing data concepts such as campaign metrics, media mix, or conversions
Experience working with automated data pipelines or QA checks
Comfort operating in fast-moving environments with recurring deadlines
Benefits
Annual performance bonus
Stock
Benefits and/or other applicable incentive compensation plans
Company
LinkedIn is a professional networking site that allows users to create business connections, search for jobs, and find potential clients. It is a sub-organization of Microsoft.
H1B Sponsorship
LinkedIn has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (892)
2024 (1108)
2023 (913)
2022 (1580)
2021 (1043)
2020 (1146)
Funding
Current Stage
Public CompanyTotal Funding
$154.8MKey Investors
Bain Capital VenturesGreylockSequoia Capital
2016-06-13Acquired
2016-02-15Private Equity
2014-04-01Series Unknown
Recent News
2026-01-22
Entrepreneur.com
2026-01-21
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