Vice President, Marketing Strategy

About the Role

Key Responsibilities

• Lead development of advanced models and marketing measurement tools including attribution modeling, media mix optimization, conversion funnel analysis, and predictive targeting and segmentation.
• Translate data into insights that drive acquisition, conversion, upsell/cross-sell, and retention strategies.
• Own and evolve the company's pricing and promotional strategy using price elasticity modeling, behavioral testing, and ARPU impact forecasting.
• Drive customer retention through data-informed strategies that reduce churn and increase Lifetime Value, including building robust LTV models and churn prediction models.
• Partner with CX, product, and sales teams to reduce churn and improve customer satisfaction and value realization.
• Deliver accurate forecast and investment strategies for subscriber growth, campaign impact, and ecommerce revenue tied to media investment.
• Collaborate with finance to guide budget allocation and performance expectations based on scenario planning and predictive analytics.
• Lead teams to drive alignment, execution, and results across marketing, product, engineering, sales, customer experience, and finance.
• Champion data science and experimentation to foster a culture of insight-led decision-making.
• Lead, scale, and mentor a high-performing analytics team across marketing strategy, pricing science, data visualization, and data science disciplines.
• Ensure best practices in analytics architecture, data governance, and self-service insights through tools like Tableau, Alteryx, and cloud platforms.
• Cultivate an inclusive work environment where all employees feel valued, respected, heard, and empowered.

Requirements

• 10+ years in marketing analytics, pricing, or data science with success influencing C-level decisions.
• 5+ years leading high-impact teams in analytics, data science, or marketing strategy.
• Deep hands-on experience with price elasticity modeling, LTV and churn prediction, forecasting, and segmentation.
• Proficiency with tools such as SQL, Python/R, Tableau, Alteryx, and cloud platforms (GCP, Azure, AWS).
• Strong background in media/telecom, subscription, ecommerce, or similar customer-centric industries.
• Executive-level storytelling and strategic influence skills to translate complex analytics into business actions.
• Bachelor's degree in Marketing, Statistics, Data Science, Economics, or related field; Master’s preferred.

Nice to Have

• Experience with advanced analytics architecture and data governance.
• Experience in leading cross-functional teams in a fast-paced environment.
• Knowledge of additional analytics tools or programming languages.

Qualifications

• Bachelor's degree in Marketing, Statistics, Data Science, Economics, or related field.
• Master's degree preferred.

Benefits & Perks

• 401k retirement plan with employer match.
• Medical, dental, vision, life, and STD insurance options.
• Paid Time Off starting at 80 hours per year, increasing with tenure.
• Floating holiday of 40 hours per year.
• Paid holidays (7 days per year).
• Paid sick leave varying by state/local laws.
• Tuition reimbursement program.
• Employee discount program.