Director, Decision Science

We are seeking a strategic technically strong Director of Decision Science to lead our Data Science and Business Intelligence 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.

What Youll Do

• 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

What Youll Need

Minimum Qualifications

• 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

Preferred Qualifications

• 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

Working Conditions & Travel Requirements

• Ability to travel to meet with customers and/or key stakeholders product teams in other Workiva locations (up to 25%)

• Reliable internet access for any period of time working remotely not in a Workiva office

How Youll Be Rewarded

A discretionary bonus typically paid annually

Restricted Stock Units granted at time of hire

401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors including your skills qualifications experience and other relevant factors.

Employment decisions are made without regard to age race creed color religion sex national origin ancestry disability status veteran status sexual orientation gender identity or expression genetic information marital status citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process please email .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.