Accenture Life Insurance and Annuity Industry Data Product Lead

Accenture•Kirkland, WA

1d•Hybrid

About The Position

The Accenture Life Insurance and Annuity Industry Data Product Lead will drive the development and delivery of the ALIP data analytics and insight solution—a cornerstone of our value proposition to ALIP clients. This role provides a unique opportunity to lead the creation of a cutting-edge AI-powered capability that transforms how actionable insights are derived from ALIP’s extensive data ecosystem.

Requirements

Minimum 5 years of Industry Knowledge Experience: Deep understanding of insurance carriers and their needs for actionable, data-driven insights.
Minimum 5 years Enterprise-Level Product Expertise: Proven experience designing and scaling enterprise-level data solutions and analytics capabilities.
Minimum 5 years of Product Development and Roadmap Management: Expertise in developing product roadmaps, executing Go-To-Market strategies, and overseeing delivery to initial clients.
Minimum 2 years of AI Experience: Tangible experience using AI to design, build, and test a product — especially within the context of insurance or banking.
Minimum 3 years of work experience/background in Life Insurance/ Financial industry.
Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)
Leadership Acumen: Demonstrated ability to lead teams and turn startup initiatives into large scale, impactful implementations.
Technical Business Synergy: Strong capability to connect technical solutions to business strategies.
Stakeholder Engagement: Exceptional communication and stakeholder management skills to ensure team alignment and buy in.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Responsibilities

Lead the end-to-end development of the ALIP data analytics product, ensuring alignment with client needs and overall business objectives.
Partner with Product Management, Sales, and Go-To-Market teams to shape and deliver a scalable solution that supports sustainable revenue growth.
Design and oversee advanced analytics solutions, dashboards, and data products to empower clients with informed decision-making and performance tracking.
Build, manage, and mentor a multidisciplinary data team (including analysts, data engineers, and data scientists), fostering a collaborative and high-performance environment.
Once the product matures, coordinate with the delivery organization to leverage its potential for substantial and sustainable revenue generation.