Director, Decision Science

Workiva Inc. • Bozeman, MT

8d • $177,000 - $284,000

About The Position

We are seeking a strategic, technically strong Director of Decision Science to lead our Data Science and Business Intelligence teams. In this role, you will set the vision, guide a high-performing team, and drive Data Science and BI initiatives that influence decisions across the business. You will partner with cross-functional leaders to solve high-impact problems, elevate our self-serve BI capabilities, and embed data science into core business operations. This role reports to the VP of Data & Analytics.

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

Nice To Haves

• Deep expertise in statistical modeling, causal inference, experimentation design, and applied analytics to drive business decisions
• Strong familiarity with modern data ecosystems, including cloud data warehouses (Snowflake, BigQuery), data modeling best practices, orchestration tools, enterprise BI platforms (e.g., Looker, Tableau, Sigma), and MLOps/ML lifecycle platforms
• Experience building or applying NLP, recommendation engines, forecasting models, or other advanced analytical solutions
• Strong programming skills in Python and proficiency with modern ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Demonstrated ability to design, govern, and scale standardized metrics, dashboards, and self-service BI workflows across business functions
• Exceptional communication and stakeholder-management skills, with the ability to influence senior leaders and simplify complex concepts for diverse audiences
• Proven success in hiring, developing, and scaling technical talent across Data Science and BI disciplines

Responsibilities

• Vision and Strategy Leadership: 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)
• Team Leadership & Development: 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
• Strategic Business Partnership: 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
• Analytical Translation: Translate complex, ambiguous business challenges into structured analytical strategies, guiding teams to deliver high-quality, decision-ready solutions
• Agile Delivery & Model Lifecycle: 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
• Executive Communication & Storytelling: Communicate clear, actionable, and data-driven recommendations to all audiences, including senior and executive leadership, shaping strategy through compelling, tailored narratives
• Data Platform Collaboration: Collaborate closely with Data Engineering and Analytics Engineering to design and scale enterprise data assets, features, and metrics that meet evolving analytical needs
• Governance & Responsible AI: 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
• Enterprise Data Strategy: Partner with leaders across Data Platform, Data Product Management, and Data Governance to develop and execute the overarching Enterprise Data Strategy

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 1,001-5,000 employees