Senior Director, Partnerships Analytics

About the role

This role will serve as the primary analytics and data science leader for the Third-Party Agent Business. You will guide the leadership team with data-driven insights to inform strategic decisions, identify growth opportunities, and shape product development.

Key facts

What you'll do

• Analyze and quantify key business drivers across the agent lifecycle, including acquisition, engagement, productivity, and retention.
• Develop and implement a structured approach for measuring and analyzing agent product features and performance through experimentation and data analysis.
• Establish and maintain foundational data integrity for critical business metrics such as commission payments, debt resolution, retention rates, and activity attribution.
• Define the vision for leveraging artificial intelligence to automate insight generation and enhance self-service analytics capabilities.
• Lead, mentor, and expand the analytics team, setting high standards for performance and analytical craft.
• Collaborate effectively with product, engineering, sales, operations, marketing, and finance teams to translate insights into actionable strategies.
• Provide analytical support for the direct-to-consumer annuities business, including funnel analysis, experimentation, and A/B testing.

Requirements

• A minimum of 10 years of experience in analytics, with at least 5 years dedicated to building and managing teams of individual contributors and managers.
• Demonstrated ability to dissect complex business challenges into fundamental components, identify relevant data, and inform critical decisions.
• Proven track record of establishing accurate data definitions, dictionaries, taxonomies, and improving data quality at scale.
• Strong proficiency in business analytics, with a solid understanding of product analytics, including experimentation, causal inference, and instrumentation.
• Excellent communication skills, with the ability to present findings clearly to executives, write concise memos, and partner with engineering on data modeling.

Nice to have

• Experience in B2B2C environments, analyzing performance across various customer segments including enterprise accounts, small businesses, agents, uplines, and end consumers.
• Prior experience in fintech, marketplaces, real estate tech, or insurance industries.

Skills & tools

• SQL
• Experimentation
• Causal inference
• Data modeling
• Business strategy analysis
• Product analytics

Practical notes

• US national base salary range: $193,000 - $340,000.
• Compensation includes base salary only; bonus, equity, or other benefits are separate.
• Benefits information available at https://www.ethoslife.com/careers/.
• Ethos is an equal opportunity employer.
• All legitimate communication from Ethos will come from email addresses ending in @ethos.com or @getethos.com.