Workiva

Director, Decision Science

Workiva

full-time

Posted on:

Location Type: Remote

Location: New York • United States

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Salary

💰 $177,000 - $284,000 per year

Job Level

Lead

About the role

  • Define and own the multi-year Data Science and BI strategy and roadmap, ensuring direct alignment with enterprise priorities and quantifiable business outcomes (e.g., revenue growth, operational efficiency)
  • Recruit, mentor, and manage a high-performing, multi-disciplinary team of Data Scientists, BI Analysts, and BI Engineers, establishing a culture of innovation, operational excellence, and continuous professional development
  • Act as the primary analytic partner to business unit leaders (Sales, Product, CS, Marketing, etc.) to define and deliver high-impact, decision-support data products, including predictive models and AI-powered self-service insights
  • Translate complex, ambiguous business challenges into structured analytical strategies, guiding teams to deliver high-quality, decision-ready solutions
  • Drive an agile, iterative delivery process and oversee end-to-end predictive model lifecycle management, from ideation and validation through scalable deployment, monitoring, and optimization
  • Communicate clear, actionable, and data-driven recommendations to all audiences, including senior and executive leadership, shaping strategy through compelling, tailored narratives
  • Collaborate closely with Data Engineering and Analytics Engineering to design and scale enterprise data assets, features, and metrics that meet evolving analytical needs
  • Establish and enforce best practices for metrics design, experimentation, and data governance. Champion data ethics, compliance, and responsible AI standards to promote transparency and trust
  • Partner with leaders across Data Platform, Data Product Management, and Data Governance to develop and execute the overarching Enterprise Data Strategy

Requirements

  • 8+ years of experience in Data Science, Machine Learning, or related analytical fields, including 3+ years leading high-performing technical teams
  • Advanced degree (MS/PhD) in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, or similar)
  • Demonstrated ability to translate ambiguous business problems into analytical frameworks and deliver measurable business impact
  • Experience in SaaS or B2B environments, especially where data products directly enable go-to-market, customer success, or product strategy
  • Hands-on experience deploying and operating ML models in production, including monitoring, optimization, and lifecycle management
Benefits
  • A discretionary bonus typically paid annually
  • Restricted Stock Units granted at time of hire
  • 401(k) match and comprehensive employee benefits package

Applicant Tracking System Keywords

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

Hard skills
Data ScienceMachine LearningPredictive ModelingData AnalyticsData GovernanceAI-powered InsightsMetrics DesignExperimentationSaaSB2B
Soft skills
LeadershipMentoringCollaborationCommunicationStrategic ThinkingProblem SolvingInnovationOperational ExcellenceContinuous Professional DevelopmentData-driven Decision Making
Certifications
MS in Computer SciencePhD in StatisticsPhD in MathematicsPhD in Operations Research