[Remote] Senior Director Decision Science

Note: The job is a remote job and is open to candidates in USA. Empower is dedicated to transforming financial lives through a flexible work environment and a focus on well-being. The Senior Director Decision Science will lead 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 engine's architecture, governance, and performance while collaborating with cross-functional teams to drive business outcomes.ResponsibilitiesDefine and own the enterprise decisioning charter, objectives, operating model, guardrails, and KPI trees aligned to strategic business outcomes, including prospect and existing client fatigue, fairness, and privacyEstablish and govern the enterprise roadmap for the decision engine, including prioritization of next-best-action and lead-routing initiatives in partnership with Sales, Marketing, Product, Technology, and Client ServicesBalance delivery commitments, technical constraints, and strategic trade-offs while communicating timing, dependencies, and risks to executive stakeholdersMaintain end-to-end accountability for the architecture, build, performance, governance, and lifecycle management of a real-time decision engine powering next-best-action decisions and decision sequences at scaleDirect 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 approachesOversee 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 clientEstablish standards for experimentation, rollout, and risk management, incorporating canaries, bandit approaches, A/B testing, and statistically sound ship, iterate, and stop decisionsPartner with personalization, experimentation, and analytics leaders to co-own experimentation strategy, learning agendas, and measurement frameworksLead cross-functional technology delivery by setting requirements and direction for real-time decision APIs, integrations, rules engines, data models, and logging frameworksEnsure enterprise standards for versioning, audit trails, rollback and disaster recovery plans, incident response, and service-level agreementsMaintain canonical decision metrics, fairness and eligibility checks, transparent decision logs, and audit-ready documentation to support reporting, regulatory review, and internal governanceBuild, lead, and develop a team of Decision Science and Technical Product Management leaders; set expectations, coach performance, and grow enterprise decisioning capabilitiesSkillsBachelor's degree in Computer Science, Engineering, Business, or a related field9+ years of experience in decision science, applied data science, optimization, or equivalent fields3+ years of experience leading managers or senior practitioners in a people management capacityProven leadership in the design, delivery, and governance of enterprise-scale, real-time decisioning and decision policy systemsDeep expertise in optimization and experimentation techniques, including uplift modeling, bandits, experimental design, generalized linear models, allocation models, and related approachesStrong proficiency in SQL and Python, with the ability to guide technical standards and review work at scaleExperience directing teams that build or integrate real-time, API-driven decisioning platformsStrong business and financial acumen, with demonstrated executive communication skills and the ability to influence senior leadersStrategic thinking skills, with the ability to balance near-term delivery with long-term platform and capability visionDemonstrated success shipping and operating decision or rules engines in production, including integration with feature stores and model registriesExperience overseeing experimental design and measurement practices across teamsStrong intuition for end-customer needs and behaviors, and the ability to translate insights into scalable decision strategiesDemonstrated ability to navigate complex, matrixed organizations to drive enterprise prioritiesWorking curiosity and applied understanding of emerging artificial intelligence capabilities and their impact on decisioning, optimization, and governanceMBA or advanced degreeBenefitsMedical, dental, vision and life insuranceRetirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineupTuition reimbursement up to $5,250/yearBusiness-casual environment that includes the option to wear jeansGenerous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar yearPaid volunteer time — 16 hours per calendar yearLeave 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.Other necessary computer equipment, will be provided.Company OverviewEMPower is a non-governmental agency for social well being. It was founded in 1891, and is headquartered in Greenwood Village, Colorado, USA, with a workforce of 10001+ employees. Its website is https://www.empower.com.