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Director, Data Strategy; Adobe Analytics

Job in El Segundo, Los Angeles County, California, 90245, USA
Listing for: twentysix
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Director, Data Strategy (Adobe Analytics)

You Will Be

  • Partnering with a cross-functional team of exec-level leaders across Client & Media Strategy, Data Strategy & Analytics leaders to deliver scalable, high-quality, cross-channel data solutions and service experiences quickly to clients and their teams from across Analytics Engineering, Analytics Management, Data Engineering, Reporting Solutions, and Data Analysis.
  • Leading cross-functional strategy and delivery:
    Overseeing a team of Data Strategists and managing your own book of business to deliver high-quality data solutions, insights, and measurement frameworks across our client portfolio.
  • Driving client impact:
    Serving as an executive sponsor for enterprise clients, guiding data-driven recommendations that inform media mix, audience strategy, and creative performance.
  • Scaling new capabilities:
    Defining and implementing processes to make analytical solutions reproducible, well-documented, and integrated into broader client strategies.
  • Supporting growth:
    Pitching new business opportunities by articulating the differentiated value of Wpromote’s Data Strategy & Analytics services and proprietary Polaris solutions.
  • Acting as an escalation point to promptly resolve complex and occasionally unprecedented situations with broad definitions.
  • Building internal alignment:
    Educating and training the Client Strategy, Channel, and Executive teams on Data Strategy & Analytics capabilities to ensure consistent adoption of best practices.
  • Support growth:
    Pitching new business on the differentiated value of Data Strategy & Analytics services, crafting a consultative sales approach through consulting on prospect Mar Tech stacks and Polaris solutions. Evolving Data Strategy & Analytics offerings by continually improving and adding service offerings and products.
  • Lead measurement frameworks:
    Leading/collaborating in the development of standardized approaches to measurement, including taxonomy governance, KPI frameworks, and performance dashboards.
  • Provide thought leadership across a variety of Data Strategy focus areas:
    Customer Data Platforms, Media Strategy & Optimization Methods, Data Privacy Regulations & Data Usage Guidelines, and Mar Tech Architecture.
  • Cultivating a culture of excellence:
    Empowering and mentoring managers and analysts to champion a high-performing, client-first environment centered on curiosity, professional accountability, and relentless optimization.
You Must Have
  • 8+ years of experience in digital analytics, data strategy, or marketing analytics leadership roles.
  • Strong experience in Adobe Analytics, RTCDP, and understanding of the entire Adobe Experience Cloud.
  • Strong understanding of additional marketing and advertising technology ecosystems (e.g., Google Ads, Meta Ads, GA4, Looker, dbt, GCP/AWS).
  • Familiarity with creating and implementing data taxonomy governance best practices across multiple ad platforms.
  • Demonstrated success translating data into actionable insights within a performance marketing or growth strategy context.
  • Exceptional executive communication and client-facing experience, with the ability to bridge technical and business perspectives.
  • Proven project management skills, capable of managing multiple teams and engagements simultaneously.
  • Experience mentoring managers and analysts to deliver scalable, reproducible analytical solutions.
Nice To Have
  • Experience in or adjacent to roles such as Analytics Engineering, Data Engineering, Media Buying, or Client Services.
  • Experience with Media Mix Modeling, Incrementality Testing, Forecasting, or Predictive Analytics.
  • Experience in analytical tools such as R, Python, and SQL, and familiarity with machine learning techniques and data visualization tools.
  • Background in developing or integrating data products or internal analytics platforms.
  • Experience leading analytics teams within a performance marketing or digital agency environment.
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