Director, Decision Science Analytics

We are seeking a Marketing Analytics Director to lead our marketing analytics and audience strategy function. This role owns ends-to-end technical and analytical vision across audience development, audience quality, and marketing activation. You will lead a team of analysts and data scientists, driving the development of models and data-driven strategies to optimize our marketing investments and accelerate member growth.

Requirements

• 8+ years in marketing analytics or data science, with 3+ years leading teams.
• 5+ years working with 3rd party data sources (data co-ops, data marketplaces, credit bureaus) to build marketing targeting models.
• 5+ years in digital platforms (Adobe, Google) and clickstream behavioral data.
• 3+ years working with MarTech and CDP platforms (eg - salesforce, adobe, actionIQ) including audience activation and orchestration.
• 3+ years in identity resolution - deterministic/probabilistic matching, household graphs, clean rooms, etc.
• Expert proficiency in SQL and Python or R; comfortable in cloud data environments (Snowflake, Bigquery, Databricks).
• Experience with data visualization or BI tools (Tableau, Power BI) to communicate insights effectively
• Bachelor's degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline; OR 4 years of related experience in statistics, mathematics or quantitative analytics (in addition to the minimum years of experience required) may be substituted in lieu of degree.
• 8 years of experience in a decision support analytic function OR Advanced degree in relevant discipline, 6 years of experience in a decision support analytic function.
• 3 years of direct team lead or management experience.
• Demonstrates expert skills in mathematical and statistical techniques and approaches used to influence Business Strategy with fact-based decision-making to all levels of leadership up to senior executive levels.
• Modernizes knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.
• Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

Benefits

• Comprehensive medical, dental and vision plans
• 401(k)
• Pension
• Life insurance
• Parental benefits
• Adoption assistance
• Paid time off program with paid holidays plus 16 paid volunteer hours
• Various wellness programs