Sr. Director, Marketing Analytics
New
Based in the United StatesFull-TimeDirector
Salary200,000 - 220,000 USD per year
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Job Details
- Experience
- 10+ years
- Required Skills
- PythonSQLMachine LearningR
Requirements
- 10+ years of experience in marketing analytics, measurement, attribution, data science, or related analytical disciplines, including significant leadership experience.
- Deep expertise in media mix modeling (MMM), multi-touch attribution (MTA), incrementality testing, website analytics, funnel analysis, and marketing performance measurement.
- Proven hands-on experience designing, implementing, or leading advanced attribution and measurement models.
- Strong foundation in statistical analysis, regression modeling, Bayesian methodologies, time-series forecasting, machine learning, and predictive analytics.
- Experience applying AI technologies, including machine learning models, LLM-powered workflows, measurement automation, or modeled conversion frameworks.
- Advanced proficiency in SQL and Python (or R) for analytics, modeling, and data manipulation.
- Experience with analytics and marketing technology platforms such as GA4, CM360, and business intelligence tools.
- Strong ability to communicate complex technical concepts to both technical and non-technical audiences, including executive leadership.
- Demonstrated success mentoring and developing analytics teams and fostering analytical excellence.
- Experience collaborating across marketing, finance, product, and executive stakeholder groups.
- eCommerce experience is required, with direct-to-consumer, subscription-based, and multi-channel business experience strongly preferred.
- Ability to balance strategic leadership responsibilities with hands-on analytical execution.
Responsibilities
- Provide senior leadership and technical expertise across the marketing measurement ecosystem, including media mix modeling (MMM), multi-touch attribution (MTA), incrementality testing, website analytics, campaign reporting, and customer journey analysis.
- Lead the strategy, implementation, validation, and continuous improvement of advanced attribution and measurement frameworks.
- Evaluate, validate, and reconcile insights from multiple measurement methodologies to provide stakeholders with clear and actionable recommendations.
- Drive the adoption of advanced statistical modeling, machine learning, artificial intelligence, and automation solutions to improve measurement accuracy, scalability, and efficiency.
- Establish best practices for privacy-conscious and future-ready marketing measurement approaches.
- Mentor and develop analytics professionals, strengthening expertise in data science, measurement methodologies, and advanced analytics techniques.
- Collaborate with marketing, finance, product, and executive leadership teams to translate complex analytical findings into strategic business insights.
- Guide methodological decisions, ensuring measurement frameworks remain transparent, defensible, and aligned with business objectives.
- Identify opportunities to improve reporting, forecasting, performance analysis, and decision-making through innovative analytical approaches.
- Champion data-driven culture and analytical excellence across cross-functional teams and leadership forums.
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