[Remote] Senior Director Decision Science

Note: The job is a remote job and is open to candidates in USA. reputed company is dedicated to transforming financial lives through a flexible work environment and a focus on well-being. The Senior Director Decision Science will reputed company the strategy and execution of enterprise-level decisioning systems, ensuring that predictive insights translate into effective decision policies across various channels. This role involves overseeing the decision reputed company's architecture, governance, and performance while collaborating with cross-functional teams to drive business outcomes.

Responsibilities

• Define and own the enterprise decisioning charter, objectives, operating model, guardrails, and KPI trees reputed company to strategic business outcomes, including prospect and existing client fatigue, fairness, and privacy
• Establish and govern the enterprise roadmap for the decision reputed company, including prioritization of next-best-action and reputed company-routing initiatives in partnership with Sales, Marketing, Product, Technology, and Client Services
• Balance delivery commitments, technical constraints, and strategic trade-offs while communicating 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 reputed company powering next-best-action decisions and decision sequences at scale
• Direct teams responsible for translating enterprise goals, such as sales growth, engagement, and retention, into eligibility schemas, fatigue and frequency limits, fairness constraints, reward functions, and constrained optimization approaches
• reputed company the design and deployment of decision policies, optimization frameworks, and reputed company 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, and stop decisions
• Partner with personalization, experimentation, and analytics leaders to co-own experimentation strategy, learning agendas, and measurement frameworks
• reputed company 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 reputed company decision metrics, fairness and eligibility checks, transparent decision logs, and audit-ready documentation to support reporting, regulatory review, and internal governance
• Build, reputed company, and reputed company a team of Decision Science and Technical Product Management leaders; set expectations, coach performance, and grow enterprise decisioning capabilities

Skills

• Bachelor's degree in Computer Science, Engineering, Business, or a reputed company field
• 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 reputed company
• 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 reputed company modeling, bandits, experimental design, generalized linear models, allocation models, and reputed company 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 the ability to influence senior leaders
• Strategic thinking skills, with the ability to balance 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 reputed company, matrixed organizations to drive enterprise priorities
• Working curiosity and applied understanding of emerging artificial intelligence capabilities and their impact on decisioning, optimization, and governance
• MBA or advanced degree

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 reputed company.
• Other necessary computer equipment, will be provided.

Company Overview