Assistant Vice President - Data Analytics – Retirement Division - Remote

Symetra is seeking an Assistant Vice President, Data Analytics to help drive our transformation into a data‑driven enterprise focusing on our annuities and retirement solutions division. In this senior leadership role, you’ll shape strategy, lead high‑impact analytics initiatives, and guide teams that build the insights and capabilities powering our business decisions.

In this role, you will lead cross‑functional teams—including data engineers, architects, developers, BI analysts, and data scientists—to deliver analytics solutions that make a meaningful impact across Symetra. You’ll partner closely with business and technology leaders to understand needs, design data‑driven strategies, and execute plans that support innovation, efficiency, revenue growth, and an exceptional customer experience.

• →Strategic Leadership & Partnership
• →Develop and implement Symetra’s data and analytics strategy in collaboration with IT leaders and business partners.
• →Build strong partnerships across sales, marketing, customer experience, underwriting, claims, actuarial, innovation, and other teams.
• →Find opportunities to improve efficiency, generate revenue, and enhance customer experience through analytics.
• →Establish clear key performance indicators, return on investment metrics, and data literacy initiatives across the organization.
• →Advanced Analytics, AI & Modeling
• →Drive innovation by leading both hands on and coaching efforts in descriptive analytics, predictive modeling, artificial intelligence, and machine learning.
• →Apply sound judgment in selecting the right modeling approach—from simple to complex—based on business need and data maturity.
• →Data Management, Governance & BI
• →Supervise the creation and maintenance of a stable, trusted, and scalable enterprise data environment.
• →Promote high quality reporting and BI solutions that enable self-service analytics.
• →Ensure responsible data usage and compliance with privacy guidelines.
• →Enhance enterprise data assets through thoughtful integration of third-party data.
• →Team Leadership & Development
• →Lead and mentor technical teams, including direct and matrixed reports.
• →Set clear responsibilities, foster collaboration, and develop team talent.
• →Model a culture of continuous learning, curiosity, and innovation.