Benefits strategy
Plan design, funding strategy, renewal planning, executive recommendations, and cost management that still respects the employee experience.
I am a senior employee benefits and total rewards leader with 17+ years of experience helping employers manage healthcare strategy, cost control, vendor relationships, compliance, and employee experience. I am focused on learning, testing, and applying AI in ways that make benefits strategy, employee education, vendor oversight, and leadership decision-making more practical and scalable.
"I care about ROI, but I also believe benefits are personal."
Practical strategy. Clear communication. Better employee experience.I have spent my career helping employers make complex benefits decisions easier to understand and easier to act on. That has meant working closely with business owners, finance leaders, HR teams, public entities, school districts, nonprofits, and regional employers across the Pacific Northwest.
My work has covered medical strategy, renewals, funding, compliance, carrier and vendor relationships, employee communication, and executive decision support. I am especially interested in how AI can improve benefits navigation, employee education, vendor governance, and leadership decision-making.
I am building a practical point of view on how benefits and total rewards teams can use modern technology to improve service, communication, decision support, and employee trust without losing the human side of benefits.
Benefits leadership that connects employee needs, finance discipline, vendor accountability, and scalable operations.
Plan design, funding strategy, renewal planning, executive recommendations, and cost management that still respects the employee experience.
Carrier and vendor negotiation, service accountability, claims and utilization review, and clearer decision frameworks for leadership teams.
Clearer benefits communication, simpler navigation, better education, and practical support for employees and families.
The strongest benefits work connects strategy, service, finance, and communication into a system people can trust.
Translate plan performance, renewal pressure, and market options into clear recommendations leaders can act on.
Improve benefits workflows, communication timing, vendor follow-through, and repeatable service routines.
Make benefits feel easier to navigate with plain-language education, responsive support, and practical guidance.
Test AI-enabled tools that strengthen analysis, speed up research, and keep complex benefits work human-centered.
A benefits career built around trust, service, and helping employers make decisions that affect both people and business outcomes.
Advising employers on benefits strategy, healthcare costs, renewals, compliance, carrier relationships, employee communication, and executive decision support.
Experience working with leaders who need clear recommendations, practical execution, and a strong service model.
Focused on building practical AI fluency, improving benefits workflows, strengthening decision support, and helping teams communicate complex benefits topics more clearly.
Practical AI projects that show how benefits teams can move faster, communicate better, and make stronger decisions.
A mock executive dashboard that connects renewal trends, employee experience, utilization, vendor performance, and recommended actions.
Use case: help leadership teams see what changed, why it matters, and which actions deserve attention before renewal decisions become compressed.
A workflow for comparing carrier proposals, summarizing tradeoffs, identifying cost drivers, and turning complex data into CFO-ready recommendations.
Use case: turn dense proposal material into structured side-by-side findings, open questions, pricing notes, and negotiation priorities.
A plain-English benefits education concept that helps employees understand plan choices, common terms, and where to go for support.
Use case: support employees during enrollment and life events with simpler explanations that reinforce, not replace, human support.
A research system for tracking fast-growing AI companies, people teams, total rewards leaders, benefits philosophies, and open leadership roles.
Use case: study how AI-forward organizations approach total rewards, benefits operations, and employee experience as they scale.
I am always interested in thoughtful conversations about benefits strategy, total rewards, employee experience, and AI-enabled benefits operations.