Director of Decision Science

Workiva

Director of Decision Science at Workiva driving analytics initiatives and shaping data strategy. Leading and scaling Decision Science team with a focus on AI and data-driven insights.

Posted 4/15/2026full-timeRemote • New York • 🇺🇸 United StatesLead💰 $177,000 - $284,000 per yearWebsite

Tech Stack

Tools & technologies

CloudGoSQL

About the role

Key responsibilities & impact

Build & Scale Analytics Capabilities Across Workiva
Grow and scale a world-class decision science function—defining the capability roadmap, tooling standards, and operating model that compound in value over time
Introduce and embed state-of-the-art analytical capabilities, including Snowflake Cortex, LLM-assisted analysis, AI-powered self-service insights, and modern MLOps practices, into the team's everyday workflow
Oversee the full model lifecycle—from development and validation through deployment, monitoring, and optimization—ensuring analytical products stay accurate and impactful over time
Establish a culture of analytical excellence, curiosity, and continuous learning—where the team is always pushing the boundaries of what's possible with data
Recruit, develop, and retain exceptional talent across data science and BI disciplines, building a team that is both technically elite and business-savvy
Define and lead the Data Science and BI strategy and roadmap, ensuring alignment with company priorities and measurable business outcomes
Drive Business Impact Through Insights
Partner deeply with Sales, Product, Customer Success, Marketing, Finance and other business teams to influence functional strategies and operations through rigorous, data-backed recommendations
Translate complex, ambiguous business problems into structured analytical approaches—guiding teams to deliver high-quality, decision-ready insights that move the needle
Present data-driven recommendations to senior and executive leadership, shaping strategy through compelling narratives that connect analysis to outcomes
Drive an agile, iterative delivery process, breaking complex initiatives into executable components and continuously improving based on stakeholder feedback
Accelerate Workiva’s Enterprise Data Strategy
Partner with leaders in Data Platform, Data Product Management, and Data Governance to co-develop and execute Workiva's Enterprise Data Strategy
Champion the design and governance of a standardized, company-wide metrics framework—ensuring consistency, integrity, and alignment across all business functions
Act as a thought leader and strategic advisor on AI/ML and advanced analytics, elevating data maturity across the organization and influencing how the company thinks about data as a strategic asset
Collaborate with Data Engineering and Analytics Engineering to design scalable data assets, metrics, and features that meet evolving business and analytical needs
Uphold data ethics, compliance, and responsible AI standards — promoting transparency, fairness, and trust in all analytical initiatives
Elevate Self-Serve and BI Capabilities
Drive the evolution of Workiva's BI and self-service capabilities—moving from static reporting to AI-powered, decision-ready intelligence accessible to all business users
Establish and maintain best practices in metrics design, model reproducibility, experimentation, and data governance
Communicate clear, actionable insights to both technical and non-technical audiences, tailoring messages for maximum impact at every level of the organization

Requirements

What you’ll need

8+ years of experience in Decision Science, Data Science, Machine Learning, or related analytical fields with an advanced degree or 10+ years of experience with a Bachelors, including 3+ years leading high-performing technical teams
Proven experience in SaaS or B2B environments, specifically using data to drive Go-To-Market (GTM), customer success, or product strategy
Sufficient hands-on background to evaluate methodology choices, conduct code-level dialogue, and guide analytical rigor across the modern data stack (e.g., Snowflake, SQL, or cloud data platforms)
Demonstrated success in building, scaling, and inspiring technical talent across Data Science and BI disciplines
Ability to influence functional strategies through compelling narratives presented to C-suite or senior leadership
Demonstrated ability to translate ambiguous business problems into structured analytical frameworks and deliver measurable business outcomes

Benefits

Comp & perks

A discretionary bonus typically paid annually
Restricted Stock Units granted at time of hire
401(k) match and comprehensive employee benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Decision ScienceData ScienceMachine LearningMLOpsSQLSnowflakeAI-powered analyticsData governanceMetrics designAnalytical frameworks

Soft Skills

LeadershipCommunicationInfluencingCuriosityContinuous learningTeam buildingAnalytical excellenceStrategic thinkingCollaborationPresentation skills