Director, Data Strategy

twentysix; El Segundo (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

twentysix seeks an senior leader to drive Data Strategy & Analytics across enterprise clients. You will guide a team of Data Strategists, shape data-driven recommendations, and expand differentiated analytics offerings to accelerate client success.

You will partner with Client Strategy, Channel, and Executive teams to ensure scalable, reproducible analytics and impactful measurement frameworks that inform media and creative decisions.

Qualifications

• 8+ years of experience in digital analytics, data strategy, or marketing analytics leadership roles.
• Strong understanding of marketing and advertising technology ecosystems (e.g., Google Ads, Meta Ads, GA4, Looker, dbt, GCP/AWS, Adobe Analytics, CDP, Identity solutions & Cleanrooms).
• Familiarity with creating and implementing data taxonomy governance best practices across multiple ad platforms
• Familiarity with creating and interpreting measurement models such as MMM, MTA, and incrementality testing
• 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.

Responsibilities

• Lead cross-functional strategy and delivery for data strategy and analytics services across client portfolios.
• Oversee a team of Data Strategists and manage your book of business to deliver data solutions and measurement frameworks.
• Serve as an executive sponsor for enterprise clients, guiding data-driven recommendations for media mix and audience strategy.
• Pitch new business on differentiated Data Strategy & Analytics offerings and evolve services.
• Educate internal teams on Data Strategy capabilities to ensure adoption of best practices.
• Develop standardized measurement approaches, KPI frameworks, and governance for dashboards and taxonomies.
• Provide thought leadership across Customer Data Platforms, MarTech architecture, and data privacy guidelines.

Skills

Executive leadership

Client-facing comms

Project management

Mentoring teams

Data-driven storytelling

Tools

Google Ads

Meta Ads

GA4

Looker

dbt

GCP/AWS

Adobe Analytics

CDP

Identity solutions

Job description

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.

Support growth: Pitching new business on the differentiated value of Data Strategy & Analytics services, crafting a consultative sales approach through consulting on prospect MarTech stacks and Polaris solutions. Evolving Data Strategy & Analytics offerings by continually improving and adding service offerings and products.

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.

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 MarTech 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 understanding of marketing and advertising technology ecosystems (e.g., Google Ads, Meta Ads, GA4, Looker, dbt, GCP/AWS, Adobe Analytics, CDP, Identity solutions & Cleanrooms).

Familiarity with creating and implementing data taxonomy governance best practices across multiple ad platforms

Familiarity with creating and interpreting measurement models such as MMM, MTA, and incrementality testing

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

Strong experience in Adobe Analytics, RTCDP, and understanding of the entire Adobe Experience Cloud

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.