Lead - Measurement & Attribution - Measurement & Insights Practice

Department Icon Data Science Analytics & Machine Learning
Posted: 5 months ago
7-12 years
Others
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 5 months ago
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Job Description

Role Summary:

The Measurement & Attribution Lead will drive the end-to-end Measurement & Insights Practice across analytics and data platforms for enterprise clients. The role will focus on strategy, consulting, delivery ownership, and technical advisory to help clients establish scalable measurement frameworks, attribution models, and actionable customer intelligence.

The ideal candidate will act as a trusted advisor to business and technology stakeholders, translating business objectives into analytics, attribution, and optimization solutions leveraging modern analytics and CDP ecosystems.

Key Responsibilities:

Measurement Practice & Delivery

  • Lead and manage the Measurement & Attribution practice/pod comprising analytics engineers, architects, and consultants.
  • Own end-to-end delivery of analytics, attribution, and insights initiatives.
  • Define governance frameworks, operating models, and best practices for measurement solutions.
  • Ensure data quality, consistency, scalability, and performance across analytics platforms.
  • Manage project prioritization, dependencies, risks, and resource planning.

Consulting & Advisory

  • Conduct discovery workshops for KPI definition, measurement strategies, and attribution frameworks.

Advise clients on:

  • Enterprise measurement frameworks
  • Omnichannel attribution and incrementality
  • Customer journey analytics
  • Product analytics and experimentation
  • Marketing Mix Modeling and ROI measurement
  • Translate business objectives into analytics and data platform roadmaps.

Stakeholder Management

  • Collaborate with Marketing, Product, Digital, Data, and IT stakeholders.
  • Serve as the primary point of contact for analytics and attribution initiatives.
  • Build strong client relationships and influence decision-making at senior leadership levels.
  • Drive adoption and expansion of measurement capabilities across accounts.

Growth & Solutioning

  • Identify opportunities to expand analytics and attribution capabilities across business units.
  • Support pre-sales initiatives, proposals, and RFP responses.
  • Drive cross-sell and up-sell opportunities for analytics and CDP solutions.
  • Build reusable analytics frameworks, accelerators, and best practices.
  • Promote innovation through AI/ML-driven analytics and optimization approaches.

Technical & Architecture Leadership

  • Define solution architecture across analytics and CDP platforms.
  • Govern best practices around:
  • Data ingestion and identity resolution
  • Event modeling and XDM schemas
  • Attribution and customer journey stitching

- KPI frameworks and reporting

  • Data governance, privacy, and compliance

Ecosystem Integration

Integrate analytics and CDP platforms with:

  • Marketing automation platforms (AJO, Adobe Campaign, SFMC, Braze, Marketo, etc.)
  • CRM systems (Salesforce, MS Dynamics)
  • Personalization and commerce platforms
  • Data warehouses and BI tools
  • Enable personalization, experimentation, and closed-loop measurement capabilities.

Required Skills & Experience

Professional Experience

  • 8-12+ years of experience in digital analytics, attribution, and data platform solutions.
  • Strong experience with Adobe Experience Cloud and CDP ecosystems.
  • Proven experience managing analytics delivery teams or pods.
  • Strong client-facing consulting and solutioning experience.

Technical Skills

Expertise in analytics and measurement platforms such as:

  • Adobe Analytics
  • Google Analytics
  • Tealium
  • Adobe Customer Journey Analytics (CJA)

Exposure to CDP platforms such as:

  • Adobe RTCDP
  • Amperity
  • Hightouch
  • Salesforce Data Cloud

Strong understanding of:

  • Attribution modeling and incrementality testing
  • Marketing Mix Modeling (MMM)
  • Product analytics and experimentation
  • Event streaming and identity stitching
  • Data governance and privacy compliance

Leadership Skills


- Excellent stakeholder management and communication skills.

  • Ability to influence senior leadership and executive stakeholders.
  • Strong strategic thinking with execution focus.
  • Ability to connect analytics insights with business impact and ROI.

- Experience mentoring analytics consultants and engineers.

Skills

Marketing AnalyticsAnalyticsData AnalyticsWeb AnalyticsData GovernanceAi/mlAnalyticsAiMl

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