Senior Director, Decision Science

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $151.8k - $220.1k / year

⏰ Full Time

🟠 Senior

👔 Director

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• Define 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 privacy. • Establish 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 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 engine 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. • 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, and 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.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Business, or a related 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 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 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 complex, matrixed organizations to drive enterprise priorities • Working curiosity and applied understanding of emerging artificial intelligence 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.