Top Tech Jobs & Startup Jobs in Seattle, WA

Manages actuarial staff and oversees actuarial reporting, opinions, medical cost studies, pricing, liability estimates, financial projections, and rate filings. Reviews methodologies, interprets actuarial results, recommends solutions, and provides leadership insights. The role also includes hiring, mentoring, technical guidance, regulatory communications, and support for budgeting, acquisitions, and new business initiatives.

Leads competitive intelligence and market analysis for Medicaid, DSNP, and Marketplace RFPs. Reviews competitor responses, identifies gaps and differentiators, develops recommendations, maintains intelligence databases, supports capture strategy and oral presentations, and advises business development, product, legal, and executive stakeholders. Provides benchmarking, proposal analytics, training, and protest support while refining RFP methodologies. Requires 50% or more travel.

Leads enterprise data, analytics, business intelligence, and AI strategy across healthcare payer functions. Partners with executives to prioritize analytics initiatives, build reporting and predictive insight capabilities, establish data governance and accountability, and drive measurable business outcomes. Oversees cross-functional teams, enterprise application development, Azure architecture, quality automation, DevOps, and intelligent automation while engaging C-suite and board stakeholders.

Supports Molina Healthcare’s corporate development and M&A strategy by sourcing and evaluating opportunities, building financial and valuation models, coordinating due diligence and transaction activities, supporting agreement negotiations, preparing leadership presentations, and assisting with post-acquisition integration. The role requires cross-functional collaboration, strong financial analysis, project management, negotiation, communication, and organizational skills.

Leads complex business and technology programs across the full lifecycle, coordinating multiple project teams and stakeholders. Develops integrated plans, manages dependencies, risks, scope, timelines, resources, and budgets, and tracks program KPIs. Facilitates governance meetings, communicates status and outcomes to leadership, maintains documentation, supports decision-making, and drives alignment with business priorities. May mentor team members and coordinate continuous improvement activities.

Owns the vision, backlog, prioritization, delivery, and lifecycle of EDI solutions and technical products. Translates stakeholder and regulatory needs into requirements, epics, features, and user stories; leads Agile ceremonies; accepts delivered work; and partners with engineering, QA, data, architecture, operations, health plans, compliance, legal, and audit teams. Monitors product outcomes, mitigates risks, supports modernization, and ensures documentation, controls, security, and regulatory requirements remain audit-ready.

Supports health plan finance through monthly close, budgeting, forecasting, regulatory reporting, financial modeling, variance analysis, and ad hoc leadership reporting. Evaluates financial information, investigates discrepancies, develops finance policies and procedures, and recommends actions related to investments, operations, product development, and regulatory initiatives. Collaborates with technical and non-technical stakeholders and manages multiple deadlines.

Manage MMISR program activities including configuration, testing, workflows, governance, vendor practices, budgets, performance tracking, and stakeholder coordination. Produce requirements, test plans, training materials, and recurring reports while driving process improvements and adoption of program guardrails.

Lead a configuration/product team delivering and maintaining enterprise configuration and claims solutions. Own product vision, backlog, and delivery; partner with stakeholders, engineering, QA, compliance, and health plans to ensure scalable, compliant solutions and operational efficiency.

Lead enterprise data architecture and platform engineering efforts using Databricks Lakehouse. Design scalable cloud-native data platforms, implement medallion architectures, enable data governance and AI/ML workloads, build automation and CI/CD for Databricks, and mentor teams while collaborating with stakeholders on strategy and delivery.