Top Tech Jobs & Startup Jobs in Denver & Boulder, CO

Serves as the senior authority for life and annuity insurance products, pricing, administration, and operations. Partners with actuarial, finance, product, technology, and carrier-client teams to translate product mechanics and pricing assumptions into administration platforms and servicing models. Oversees configuration, testing, migrations, compliance, and financial accuracy while managing client relationships, supporting commercial engagements, and leading a team of product and pricing specialists.

Leads data and analytics transformation strategy for major client programs, defining roadmaps, use cases, architecture direction, and operating models. Advises senior stakeholders, facilitates strategy workshops, aligns programs to KPIs and value frameworks, supports governance and risk management, contributes to proposals and pre-sales, and mentors consulting and analytics teams.

Owns payment integrity quality operations projects from intake through completion, including workflow improvements, system enhancements, testing, validation, reporting, client setup, implementation, documentation, training, and defect resolution. Partners with quality, audit, reporting, technology, configuration, offshore, and end-user teams to improve efficiency, compliance, scalability, data accuracy, and workflow adoption.

Design, implement, automate, and operate enterprise AWS cloud infrastructure for analytics and data engineering workloads. Build Databricks platforms, Infrastructure-as-Code modules, CI/CD pipelines, secure cloud environments, observability frameworks, and multi-account governance strategies. Optimize reliability, scalability, performance, and cost while guiding engineering teams, leading architecture decisions, and advising clients on cloud and DevOps best practices.

Lead and mentor an account management team, develop and execute client retention and growth strategies, build strong client relationships, identify new business, collaborate cross-functionally to deliver insurance solutions, ensure SLAs and compliance, monitor market trends, and drive performance through reviews and coaching.

Leads strategic management and growth of major and global accounts across digital, data, and AI domains. Develops sales plans, identifies expansion opportunities, builds executive relationships, advocates for clients, provides market insight, and mentors junior account managers while driving account performance, revenue growth, and client satisfaction.

Leads multiple life insurance and annuity technology engagements, guiding requirements analysis, solution architecture, technical design, application integration, code quality, and distributed development teams. The role oversees technical delivery, design reviews, documentation, project estimation, process automation, and adoption of emerging AI tools. It requires strong expertise in mainframe technologies, COBOL, SQL databases, C#, .NET, policy administration systems, stakeholder management, and technical leadership.

Leads innovation and enterprise solution strategy for healthcare payment integrity, developing scalable platforms using AI, automation, analytics, and data technologies. Engages senior clients, supports strategic pursuits, shapes transformation roadmaps, and builds partnerships. Oversees solution architecture, enterprise system development, prototyping, governance, performance metrics, and commercialization. The role also mentors cross-functional teams and translates complex healthcare payer challenges into differentiated, market-ready solutions.

Lead end-to-end design, development, deployment, testing, and production support of enterprise web applications. Build scalable client/server architectures, ensure security and data governance, mentor team members, collaborate with product and business stakeholders, and own timely delivery and quality of solutions. Analyze data patterns and support reporting and selection workflows.

Assist senior data scientists with data collection, preprocessing, cleaning, and basic statistical analysis. Support model development, perform basic visualizations, and document processes and findings while learning and applying data science techniques.