Workiva · 1 hour ago
Director, Decision Science
United States
Full-time
Remote
Director/Executive
$177K/yr - $284K/yr
8+ years expWorkiva is seeking a strategic and technically strong Director of Decision Science to lead their Data Science and Business Intelligence teams. In this role, you will set the vision, guide a high-performing team, and drive initiatives that influence decisions across the business.
AnalyticsBusiness Process Automation (BPA)Enterprise SoftwareGovernmentRisk ManagementSoftware
Responsibilities
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
Qualification
Required
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
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
Benefits
A discretionary bonus typically paid annually
Restricted Stock Units granted at time of hire
401(k) match and comprehensive employee benefits package
Company
Workiva
Workiva created Wdesk, a cloud-based platform for enterprises to collect, manage, report, and analyze critical business data in real time.
1001-5000 employees
H1B Sponsorship
Workiva has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2024 (3)
2023 (1)
2022 (3)
2021 (1)
2020 (5)
Funding
Current Stage
Public CompanyTotal Funding
$680.58MKey Investors
Bluestem Capital
2023-08-14Post Ipo Debt· $625M
2014-12-12IPO
2014-10-17Series Unknown· $0.69M
Leadership Team
Julie Iskow
Chief Executive Officer | President
Penny Ashley Lawrence
SVP, CPX (Customer & Partner Experience)
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