Decision Science Manager – Enterprise

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee and mentor a team of decision scientists dedicated to the Enterprise sector.

• Evaluate and guide team outputs; take ownership of performance and career development discussions.

• Establish expectations, prioritize multiple projects, and align team capacity with both Enterprise and company objectives.

• Enhance team productivity and set benchmarks for Data and AI tools.

• Personally spearhead strategic analyses within the Enterprise domain.

• Define methodological standards, rigorously test causal assertions, and provide coaching on analytical thoroughness.

• Direct the decision science agenda for the Enterprise sector and establish analytical priorities.

• Assess Sales, GTM, and Customer Success initiatives utilizing the most robust methodologies supported by available data.

• Implement quasi-experimental designs, descriptive before-and-after analyses, and qualitative insights when applicable.

• Collaborate with Enterprise Product, Engineering, Rev Ops, Sales/GTM leadership, and Customer Success teams.

• Shape cross-functional strategies and priorities.

• Convert complex quantitative insights into clear, actionable recommendations for both technical and non-technical senior stakeholders.

⛳️ Requirements

• A Bachelor's degree in a quantitative discipline such as mathematics, statistics, computer science, operations research, economics, or equivalent experience.

• A minimum of 6 years of analytics or data science experience within a product, engineering, or tech setting.

• At least 1 year of experience in people management, including direct accountability for performance management and career development.

• Proven ability to lead data initiatives on significant business projects while gaining the trust of cross-functional and business stakeholders.

• Proficient in measuring impact through A/B tests as well as quasi-experimental or causal inference methodologies, including difference-in-differences, synthetic control, and matching.

• Strong judgment in low-data scenarios and the ability to integrate limited quantitative evidence with qualitative insights.

• Solid business insight and capability to relate data analysis to quantifiable business results.

• Outstanding communication and presentation skills for both technical and non-technical audiences.

• Preferred: experience in measuring and optimizing performance marketing campaigns.

• Preferred: background in analyzing customer retention, churn, and expansion within a B2B or enterprise SaaS context.

• Preferred: experience collaborating with Sales, GTM, Rev Ops, or Customer Success teams.

• Preferred: experience working with small-sample or account-level data.

• Preferred: knowledge of recruiting, HR tech, ATS ecosystems, or two-sided marketplaces.

🏝️ Benefits

• Competitive salary.

• Comprehensive benefits package.

• Flexible Vacation & Paid Time Off.

• Employer-matched 401(k) plan.

• Full suite of medical, financial, and additional benefits.

• Equity, bonuses, commissions, or other forms of compensation may also be included in the overall compensation package.