Director, Data Strategy & Analytics

Job Description

Job Description

Client: Digital advertising agency
Type: direct/permanent hire
Location: 100% remote from anywhere in the US
Salary: $140,000-$160,000

The Role
We are seeking a dynamic Director of Data Strategy & Analytics to lead the intersection of data strategy, analytics innovation, and client impact. This leader will oversee our data strategy and analysis functions, guiding teams that translate complex marketing and business data into strategic insights, scalable systems, and measurable growth for our clients. Reporting directly to the VP of Data Strategy & Analytics, this role blends high-level client engagement and business strategy with technical rigor in advanced analytics, measurement, and automation.
You will serve as a trusted advisor to senior clients, driving clarity in how data informs media, creative, and customer decisions, while building scalable frameworks, analytics products, and data pipelines in partnership with cross-functional teams across Product, Engineering, and Client Services.
You Will Be:

• Leading cross-functional strategy and delivery: Overseeing a combined team of Data Strategists, Analysts, and Managers 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.
• Developing advanced analytics solutions: Guiding teams in leveraging statistical and machine learning methods (e.g., regression, clustering, MMM, incrementality) to uncover actionable insights and optimize marketing performance.
• Designing scalable service models: Implementing and refining delivery models, onboarding processes, and productivity systems (e.g., Asana templates, project tracking) that improve speed, quality, and efficiency across engagements.
• Collaborating on product innovation: Partnering with Product and Engineering teams to inform the Polaris platform roadmap, focusing on automation, data ingestion, forecasting, and reporting solutions.
• Building internal alignment: Educating and training Client Services, Channel, and Executive teams on Data Strategy & Analytics capabilities, ensuring consistent adoption of best practices.
• Owning measurement frameworks: Leading the development of standardized approaches to measurement, including taxonomy governance, KPI frameworks, and performance dashboards.
• Fostering team excellence: Mentoring and developing managers and analysts, fostering a high-performing, client-centric culture rooted in curiosity, accountability, and continuous improvement.
• 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.

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, Adobe Analytics, Looker, dbt, GCP/AWS).
• Demonstrated success translating data into actionable insights within a performance marketing or growth strategy context.
• Proficiency in analytical tools such as R, Python, and SQL, and familiarity with machine learning techniques and data visualization tools.
• 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.
• Background in developing or integrating data products or internal analytics platforms.
• Experience leading analytics teams within a performance marketing or digital agency environment.