Sr. Director, Marketing Analytics (Media Analytics focus)

Accountabilities

• 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.

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.

Preferred Qualifications:

• Experience leveraging generative AI and large language models to improve analytics workflows, automation, reporting, or insight generation.

• Knowledge of privacy-first measurement methodologies, including server-side tracking, modeled conversions, and clean-room environments.

• Familiarity with modern cloud-based data platforms and analytics ecosystems.

• Experience with business intelligence and visualization platforms such as Tableau, Looker, or Power BI.

• Strong understanding of contemporary digital marketing channels, attribution challenges, and evolving privacy regulations.

Benefits

• Competitive base salary ranging from $200,000 to $220,000 USD, plus additional compensation opportunities.

• Quarterly performance-based bonus program.

• Fully remote work environment.

• Comprehensive medical, dental, and vision insurance coverage.

• Flexible Spending Account (FSA) program.

• 401(k) retirement plan with employer matching contributions.

• Flexible paid time off policy.

• Daily wellness-focused work culture, including dedicated wellness breaks.

• Complimentary meal benefits on select weekdays.

• Monthly wellness stipend.

• Monthly internet reimbursement.

• Monthly mobile phone stipend.

• Annual learning and professional development allowance.

• Complimentary meditation and mindfulness app membership.

• Product subscription benefits.

• Pet insurance discounts and related benefits.

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