Senior Manager, Growth Algorithms

For our client, we are seeking a Senior Manager, Growth Algorithms to join the team of a leader in the Retail & Consumer Goods space.

This role will shape the data science vision for growth initiatives, with a focus on experimentation, personalization, and predictive decision-making across the customer lifecycle. The position will partner closely with cross-functional stakeholders to define analytics ownership, establish best practices, and translate insights into measurable business outcomes. It is a strong opportunity for a technical leader to guide high-impact algorithmic work in a consumer-facing retail environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $200,000 – $245,000 annually

Responsibilities

• Set and communicate a clear data science vision for growth algorithms.
• Serve as a trusted thought partner across teams, defining ownership and best practices.
• Improve experimental design and interpretation to ensure alignment with business context.
• Guide strategy for lifecycle personalization and predictive value across customer interactions.
• Challenge historical constraints and establish new analytical approaches.
• Make informed portfolio choices to focus on high-impact opportunities.
• Lead a team of data scientists through the full project lifecycle and ensure effective collaboration with Engineering.

Qualifications

• Bachelor's degree in a quantitative field; master's or PhD preferred.
• 5+ years of experience in machine learning and experimentation for business problems, especially in growth and marketing.
• 2+ years of experience as a technical team lead or manager, with a focus on talent development.
• Deep expertise in experiment design, statistical power, and decision-making under uncertainty.
• Strong cross-functional leadership skills with experience in defining analytics ownership and best practices.
• Proven ability to create and communicate a compelling data science strategy aligned with business outcomes.
• Technical fluency in full-stack data science, including Python and system design.

Benefits

• Competitive compensation packages and equity options.
• Comprehensive medical, dental, and vision benefits.
• Opportunities for meaningful career growth.
• Collaborative and inclusive work environment that values diverse perspectives.
• Focus on innovation and client-centric decision-making.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.