Jobs at Thrivent Financial

Provide virtual, purpose-based financial advice to existing and prospective clients using Thrivents planning tools. Re-engage clients, conduct appointments via phone/video, recommend investments, insurance and banking solutions, and build a sales practice with ongoing coaching and licensing support.

Establishes engineering vision and technical strategy for a customized experience platform spanning web, mobile, content, experimentation, observability, analytics, and developer experience. Designs scalable architectures, develops reusable frameworks and engineering standards, leads critical incident resolution, evaluates technologies, influences multiple teams, mentors engineers, and translates customer outcomes into platform roadmaps and measurable engineering improvements.

Leads strategy, roadmap, prioritization, modernization, and business outcomes for health insurance and claims products. Partners with Operations, Technology, Actuarial, Legal, Compliance, and product teams to improve capabilities, reduce complexity, manage risk, and deliver client value. Coaches cross-functional product teams, tracks KPIs, engages users, resolves tradeoffs, and balances long-term transformation with near-term operational health.

Leads an engineering team responsible for integrating insurance client product data. Provides technical direction on architecture, software development, DevOps, observability, vendor selection, and engineering standards. Partners with product managers and stakeholders on strategy, roadmaps, and delivery. Manages budgets, schedules, incidents, contractors, recruiting, and talent development while fostering collaboration, agile practices, continuous improvement, and psychological safety.

Leads data engineering teams and provides technical direction for software architecture, development, DevOps, engineering standards, platform strategy, and production support. Partners with product managers and cross-functional stakeholders on roadmaps and solutions, manages vendors, coaches engineers, recruits talent, and oversees team performance, budgets, objectives, and continuous improvement.

Provides enterprise technical leadership for Identity and Access Management and AI-era identity security. Defines architectures, standards, governance, authentication, authorization, privileged access, machine identity, secrets, and agent security controls. Leads threat modeling, adaptive authentication, AI-driven detection, monitoring, and response capabilities. Partners with engineering, product, infrastructure, cyber defense, and architecture teams; mentors technical leaders; establishes reusable secure-by-default patterns; and influences executive stakeholders on identity risk, security strategy, and technology investments.

Leads the design, testing, implementation, and administration of compensation programs aligned with business strategies and total rewards philosophy. Consults with business leaders and HR partners, analyzes market and internal compensation data, evaluates jobs, manages complex projects, guides cross-functional teams, develops metrics and change communications, and influences senior stakeholders. Supports organization-wide programs including incentives, executive compensation, merit processes, pay structures, market competitiveness, board compensation, and recognition.

Designs, develops, tests, implements, and maintains scalable Salesforce Sales Cloud and Service Cloud solutions. Builds Apex, Lightning Web Components, Flows, integrations, and platform capabilities; troubleshoots complex Salesforce and enterprise-system issues; supports production operations, observability, CI/CD, and DevOps improvements. Provides technical guidance to junior and mid-level engineers and collaborates with architects, product owners, business partners, and technology teams.

Leads strategy, vision, roadmaps, prioritization, and measurable outcomes for enterprise data products supporting corporate functions. Partners with business and technology stakeholders to deliver analytics, governance, operational decision-making, and AI-enabled experiences. Coaches Product Owners and product teams, manages tradeoffs, tracks KPIs, conducts discovery, and promotes Agile product practices. Requires extensive enterprise data product experience, preferably in financial services or regulated industries.

Owns direction, discovery, prioritization, roadmap, and backlog management for enterprise data products. Partners with product managers, stakeholders, data engineers, architects, governance teams, and users to define requirements, user stories, acceptance criteria, and measurable outcomes. Supports agile delivery of trusted, scalable data products serving corporate functions, analytics, governance, operational decision-making, and AI-enabled experiences.

Lead an engineering product team building account management, portfolio tracking, and wealth management platforms. Provide technical leadership and architecture guidance, manage schedules and vendors, mentor engineers, drive DevOps and observability practices, collaborate with product and stakeholders, and own operational readiness and incident escalation. Hands-on data engineering experience with AWS, Python, Lambda, and Postgres is valued.

Lead enterprise strategy and engineering to defend against AI-powered threats. Design detection, prevention, and response architecture for adversarial AI, integrate controls into cyber tooling, build threat models, prototype defensive AI, and mentor teams while influencing leadership and vendor selection.

Lead architecture and implementation of scalable, resilient insurance application systems across Life, Health, and Annuity. Drive technical strategy, design integrations, mentor engineers, evaluate vendors, and ensure reliable CI/CD, DevOps, and platform standards while collaborating with product, underwriting, and cross-functional teams.

The Staff Engineer will lead architectural direction for cross-cutting initiatives, mentor teams, design systems, and drive software integration, focusing on API modernization and cloud transformation.

Lead definition and delivery of an MVP for a new digital financial-planning offering. Translate vision into roadmap, work hands-on with engineering and design, run experiments and user research, define KPIs, use prototypes and data to validate assumptions, and align stakeholders through ambiguity. Identify opportunities to apply AI and balance customer, technical, and business tradeoffs.