Decision Science Manager – Enterprise

ZipRecruiter

. Manage and coach a team of decision scientists supporting the Enterprise area .

Posted 10/22/2026full-timeRemote • United StatesMid-LevelSenior💰 $177,500 - $235,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in decision science and analytics, with a strong focus on leading teams, managing performance, and translating complex data into actionable insights for diverse stakeholders. Proficient in applying advanced analytical methodologies to drive business outcomes in an enterprise environment.

Highest-signal resume keywords

Data Science ExperiencePeople ManagementCausal Inference MethodsBusiness AcumenCommunication Skills

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AnalyticsQuasi-Experimental DesignsA/B TestingStatistical AnalysisPerformance MeasurementData AnalysisDescriptive AnalysisCausal ClaimsAnalytical RigorQuantitative Methods

Soft Skills

CoachingLeadershipInfluencingCollaborationCommunication

Certifications & Qualifications

Bachelor's Degree in Quantitative Field

Industry Keywords

EnterpriseSalesGTMCustomer SuccessB2BSaaSHR TechATS EcosystemsPerformance MarketingData-Driven Decision Making

About the role

Key responsibilities & impact

Manage and coach a team of decision scientists supporting the Enterprise area
Review and coach team work; own performance and career development conversations
Set expectations, prioritize concurrent projects, align team capacity with Enterprise and company goals
Improve team efficiency and establish standards for Data and AI tooling
Personally lead strategic analyses in the Enterprise space
Set methodological standards, pressure-test causal claims, and coach on appropriate analytical rigor
Own the decision science agenda for Enterprise and set analytical priorities
Evaluate Sales, GTM, and Customer Success initiatives using the strongest approach supported by available data
Apply quasi-experimental designs, descriptive before/after analyses, and qualitative signals where appropriate
Partner with Enterprise Product, Engineering, Rev Ops, Sales/GTM leadership, and Customer Success
Influence cross-functional direction and prioritization
Translate complex quantitative findings into clear, actionable recommendations for technical and non-technical senior stakeholders

Requirements

What you’ll need

Bachelor's degree in a quantitative field such as mathematics, statistics, computer science, operations research, economics, or equivalent experience
6+ years of analytics or data science experience in a product/engineering/tech environment
1+ years of people management experience, including direct responsibility for performance management and career development
Demonstrated ability to lead data work on important business initiatives while earning the trust of cross-functional and business stakeholders
Experience measuring impact with both A/B tests and quasi-experimental or causal inference methods, including difference-in-differences, synthetic control, and matching
Sound judgment in low-data situations and ability to combine limited quantitative evidence with qualitative signals
Strong business acumen and ability to connect data analysis to measurable business outcomes
Excellent communication and presentation skills for technical and non-technical audiences
Preferred: experience with performance marketing campaign measurement and optimization
Preferred: experience analyzing customer retention, churn, and expansion in a B2B or enterprise SaaS business
Preferred: experience partnering with Sales, GTM, Rev Ops, or Customer Success teams
Preferred: experience working with small-sample or account-level data
Preferred: familiarity with recruiting, HR tech, ATS ecosystems, or two-sided marketplaces

Benefits

Comp & perks

Competitive salary
Exceptional benefits package
Flexible Vacation & Paid Time Off
Employer-matched 401(k) plan
Full range of medical, financial, and other benefits
Equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package