Senior Manager, Growth Data Science

Gusto Gusto · Fintech · Denver, CO +2 · Data

Senior Manager, Growth Data Science at Gusto, leading a team to leverage data and AI for product understanding, scaling, and growth. The role involves managing data scientists and analysts, shaping strategy through data, developing measurement frameworks, supporting experimentation (including for AI/ML systems), partnering on AI-powered product development, and influencing senior leadership. Requires 10+ years in data science with 4+ years of management experience, deep product analytics expertise, technical fluency, AI product intuition, strategic acumen, and strong communication skills. Experience with ML applications in product contexts is preferred.

What you'd actually do

  1. Lead and develop a team of data scientists – hire, empower, and coach team members; set a high bar for analytical quality and career growth.
  2. Shape product and business strategy through data – partner with Product and cross-functional leaders to identify opportunities, prioritize investments, and influence long-term product roadmaps.
  3. Develop and scale measurement frameworks – define key metrics, design monitoring systems, and ensure product initiatives — including AI-powered features — are rigorously tracked and evaluated.
  4. Support experimentation and decision-making – support inferential analyses and experimentation (e.g., A/B tests, segmentation, funnel analysis), including designing evaluations for AI and ML-driven systems, ensuring findings are actionable and aligned to strategic goals.
  5. Partner on AI-powered product development – collaborate with ML Engineering and Product to bring intelligent features to life (personalization, predictions, intelligent automation), ensuring they're grounded in customer insight and measured for real-world impact.

Skills

Required

  • 10+ years of experience in data science
  • at least 4 years managing and scaling high-performing data science teams
  • Deep expertise in product analytics
  • advanced coding skills
  • strong statistical reasoning
  • familiarity with experimentation frameworks
  • AI product intuition
  • Strategic and business acumen
  • Executive communication skills
  • Cross-functional collaboration

Nice to have

  • Hands-on experience with ML applications in product contexts (e.g., personalization, churn prediction, customer segmentation, or LLM-powered features) is strongly preferred.
  • Familiarity with multi-product SaaS ecosystems and customer lifecycle analytics is desirable.

What the JD emphasized

  • AI is a fundamental part of how work gets done at Gusto.
  • AI experience requirements vary by role and will be assessed during the interview process.
  • AI product intuition
  • AI-powered product development
  • AI and ML-driven systems

Other signals

  • AI is a fundamental part of how work gets done at Gusto.
  • AI experience requirements vary by role and will be assessed during the interview process.
  • AI-powered product development
  • intelligent features
  • AI and ML-driven systems