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Director, Decision Science

DirectorDirectorOtherRemoteLeadTeam 10,001+H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

98 days ago

Salary

$138K - $200.1K / year

Seniority

Lead

Bachelor Degree9 yrs expEnglishPythonSQL

Job Description

Director, Decision Science

Empower

• Define and own the enterprise decisioning charter, objectives, operating model, guardrails (e.g., prospect and existing client fatigue, fairness, privacy), and KPI trees aligned to strategic business outcomes. • Establish and govern the enterprise roadmap for the decision engine, including prioritization of NBA and lead-routing initiatives in partnership with Sales, Marketing, Product, Technology, and Client Services. • Balance delivery commitments, technical constraints, and strategic trade-offs while communicating clear timing, dependencies, and risks to executive stakeholders. • Maintain end-to-end accountability for the architecture, build, performance, governance, and lifecycle management of a real-time decision engine powering NBA decisions and decision sequences at scale. • Direct teams responsible for translating enterprise goals (e.g., sales growth, engagement, retention) into eligibility schemas, fatigue and frequency limits, fairness constraints, reward functions, and constrained optimization approaches (assignment, pacing, routing). • Oversee the design and deployment of decision policies, optimization frameworks, and sequencing logic that deliver the best action or action sequence for each prospect or existing client. • Establish standards for experimentation, rollout, and risk management, incorporating canaries, bandit approaches, A/B testing, and statistically sound ship/iterate/stop decisions. • Partner with personalization, experimentation, and analytics leaders to co-own experimentation strategy, learning agendas, and measurement frameworks. • Lead cross-functional technology delivery by setting requirements and direction for real-time decision APIs, integrations, rules engines, data models, and logging frameworks. • Ensure enterprise standards for versioning, audit trails, rollback and disaster recovery plans, incident response, and service-level agreements. • Maintain canonical decision metrics, fairness and eligibility checks, transparent decision logs, and audit-ready documentation to support reporting, regulatory review, and internal governance. • Build, lead, and develop a team of Decision Science and Technical Product Management leaders; set expectations, coach performance, and grow enterprise decisioning capabilities.

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, Business, or a related field required; MBA or advanced degree preferred.
  • 9 + years of experience in decision science, applied data science, optimization, or equivalent fields.
  • 3+ years of experience leading managers or senior practitioners in a people management capacity.
  • Proven leadership in the design, delivery, and governance of enterprise-scale, real-time decisioning and decision policy systems.
  • Deep expertise in optimization and experimentation techniques, including uplift modeling, bandits, experimental design, generalized linear models, allocation models, and related approaches.
  • Strong proficiency in SQL and Python, with the ability to guide technical standards and review work at scale.
  • Experience directing teams that build or integrate real-time, API-driven decisioning platforms.
  • Strong business and financial acumen, with demonstrated executive communication skills and ability to influence senior leaders.
  • Strategic thinker capable of balancing near-term delivery with long-term platform and capability vision.
  • Demonstrated success shipping and operating decision or rules engines in production, including integration with feature stores and model registries.
  • Experience overseeing experimental design and measurement practices across teams.
  • Strong intuition for end-customer needs and behaviors, and the ability to translate insights into scalable decision strategies.
  • Demonstrated ability to navigate complex, matrixed organizations to drive enterprise priorities.
  • Working curiosity and applied understanding of emerging artificial intelligence (AI) capabilities and their impact on decisioning, optimization, and governance.

Benefits

  • Medical, dental, vision and life insurance
  • Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
  • Tuition reimbursement up to $5,250/year
  • Business-casual environment that includes the option to wear jeans
  • Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
  • Paid volunteer time — 16 hours per calendar year
  • Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
  • Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

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