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Elizabeth Enyart-AllenEE
Looking for a job

Elizabeth Enyart-Allen

@elizabethenyart-alle

I build AI-enabled healthcare SaaS platforms that improve delivery speed, workflows, and business value.

United States
Message

What I'm looking for

I'm looking to lead product strategy and delivery for AI-enabled, high-scale SaaS or healthcare platforms where I can improve workflows, build strong PM and design teams, and turn data-backed product decisions into measurable business value.

I've led product strategy and multi-year roadmaps for healthcare SaaS platforms at GPN Technologies, integrating predictive models and LLM-assisted provider workflows that reduced service delivery turnaround times by 40%.

At Optum and UnitedHealth Group, I directed the Enterprise Engagement Platform Services portfolio across business units. I consolidated nine redundant product streams into a unified roadmap, accelerated critical milestones by 25%, reduced delivery cycle times by 60%, and identified more than $2 million in recurring operational savings.

Through Enyart Allen L.L.C., I advise startups and enterprise clients on AI product roadmaps, portfolio tradeoffs, custom chatbots, and agentic workflow optimization. I also standardize AI-assisted PRD workflows and lead community strategy, workshops, and mentorship through MN Women in AI.

Across healthcare, public-sector, retail, and eCommerce environments, I've built agile operating models, platform telemetry, data pipelines, and cross-functional delivery practices for regulated, high-scale systems.

Experience

Work history, roles, and key accomplishments

Education

Degrees, certifications, and relevant coursework

Carlson School of Management, University of Minnesota logoCM

Carlson School of Management, University of Minnesota

Master of Business Administration, Business Administration

Executive MBA from the Carlson School of Management at the University of Minnesota.

University of Minnesota logoUM

University of Minnesota

Bachelor of Science, Medical Technology

Bachelor of Science in Medical Technology from the University of Minnesota.

Tech stack

Software and tools used professionally

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