Senior Manager, Data Analytics Advanced Analytics Multi Touch Attribution

Position Summary...

What youll do...

• Build and scale advanced measurement solutions
  Design deliver and continuously improve multi-touch attribution and media mix modeling solutions that scale across suppliers categories and channels using modern ML techniques.
• Drive incremental revenue and sales impact
  Ensure attribution and modeling outputs clearly quantify incremental sales and iROAS enabling MAP to influence budget allocation decisions that drive incremental ad revenue.
• Evolve Omni Impact MTA into a scalable product
  Lead the refinement and operationalization of Omni Impact MTA using online and offline data ensuring it can be refreshed rescored and reused efficiently without custom rebuilds.
• Launch an Enhanced MMM solution
  Create and operationalize an Enhanced MMM framework that supports budget planning and optimization integrates MTA outputs as priors and materially reduces processing and turnaround time.
• Operationalize continuous model delivery
  Establish repeatable processes for annual builds and biannual or quarterly refreshes that maintain consistency transparency and alignment with prior reporting.
• Deliver more granular supplier-ready insights
  Advance modeling logic to deliver brand- and media-typelevel insights (e.g. onsite display social offsite) enabling suppliers to clearly see what drives performance.
• Expand channel and data coverage
  Integrate new media channels and data sources (ISB TV Wall social platforms Freeosk enterprise marketing assets) into attribution and MMM frameworks.
• Leverage Generative AI to scale insights
  Enhance GenAI-driven insight generation that automates storytelling around incremental sales iROAS and path-to-purchasemaking advanced analytics easier to consume and act on.
• Engineer for efficiency and scale
  Partner with data engineering to eliminate manual workflows modernize pipelines structure codebases for reuse and maintain strong documentation and governance standards.
• Act as a trusted technical leader
  Serve as the analytics authority for internal stakeholders and suppliers supporting executive readouts case studies seasonal analyses and strategic measurement conversations.

• A proven track recordbuilding and scaling MMM and MTA solutionsthat influence media investment decisions and drive measurable revenue impact.
• Deep expertise in advanced analytics ML and statistical modeling within a retail media advertising or data-rich environment.
• Strong programming skills inPython and SQL with hands-on experience in Databricks BigQuery and GitHub-based development workflows.
• Experience designingproduction-ready data pipelinesthat integrate online offline social and in-store data sources.
• Practical experience applyingGenerative AIto analyticsparticularly for automating insights interpretation or narrative generation.
• A process engineer mindset with a bias toward automation scalability and repeatability over one-off solutions.
• The ability to translate complex analytics intoclear business valuefor sales teams suppliers and executive leadership.
• Comfort operating in ambiguity with the curiosity and drive to continuously improve how measurement works.
• Familiarity with retail membership-based businesses or retail media networks (preferred).
• AI/ML engineering experience building scalable measurement or targeting systems (strong plus).
• Masters degree or PhD in a quantitative field such as Statistics Economics Computer Science Mathematics or similar (preferred).