Professional Summary
Strategic leader with 11+ years partnering with C-suite executives to turn data and analytics into
operating decisions, scalable platforms, and high-performing teams. Consistent track record of entering
ambiguous, underdocumented environments and building the organizational clarity — frameworks, governance,
and cross-functional alignment — that drives measurable business outcomes. Deep expertise across data
strategy, AI/ML use-case prioritization, BI architecture, and operational program management in digital
health. Published researcher (84 citations), co-inventor on 6 patents, and MBA candidate.
Professional Experience
Cylinder Health (Vivante Health) Denver, CO
Current
Data & Strategy Leader (Data Platform Architect)
- Executive analytics partner to CEO, SVP Operations, CMO, and functional Directors; translate data, analysis, and strategic recommendations into weekly operating decisions on retention, growth, and resource allocation.
- Lead data-enablement strategist for Operations: embedded alongside SVP of Operations to diagnose data gaps, establish reliable data management practices, and drive execution of enterprise ops strategy across Member Marketing, Member Services, and Client Success.
- Program-managed a 2-year enterprise data transformation: redesigned warehouse architecture around a new identity-management system, established governance, and built a governed analytics layer — acting as internal consultant with no upstream data contracts or requirements from engineering. Reduced monthly data pipeline costs 50% through structural redesign and query optimization.
- Ownership of retention & engagement measurement strategy: led end-to-end design and execution of a proprietary member engagement index — diagnosed measurement gaps, defined KPIs from first principles, and partnered with Marketing and Member Services to integrate the framework holistically across the member journey.
- Driving KPI strategy across Marketing, Member Services, and Operations: defining ROI frameworks, operational excellence metrics, and data-backed performance standards; serving as DS, DE, AI/ML, and Analytics SME for non-technical leadership.
- Scaled infrastructure to support 2x client growth (10–15 to 30+ enterprise clients) while reducing storage and compute costs ~20% through platform redesign and roadmap alignment with product and engineering.
- Co-designed and prioritized the company's AI/ML strategy: identified high-value use cases, supported build-vs-buy vendor evaluations, and helped establish investment criteria linking AI adoption to measurable ROI.
Artemis Health Denver, CO
Aug 2022 – Nov 2023
Manager, Data Science
- Built and managed a 6+ person data science team (US and international); established hiring processes, operating model, and career development frameworks. Transformed the function from ad-hoc experimentation to roadmap-driven product delivery.
- Owned the data science product roadmap and cross-team engineering dependencies; sequenced delivery against business and client priorities, managed stakeholder expectations, and resolved cross-functional blockers.
- Delivered 4 client-facing data products — Social Determinants of Health Index, 5 chronic-condition risk-forecasting models, and a pipeline-wide anomaly-detection system — meaningfully improving client retention and satisfaction and contributing to 4–5 new enterprise client wins.
- Reduced client-facing errors 80% and eliminated 15+ hrs/week of manual QA across a 20-person team by redesigning the organization's quality assurance process through the anomaly-detection system.
- Led enterprise innovation track and delivered a half-day thought leadership workshop to 100+ benefits leaders, positioning Artemis as an industry authority.
Dexcom Inc. San Diego, CA
May 2019 – Jun 2022
Senior Data Scientist
- Architected and led Dexcom's real-world evidence (RWE) program: a multi-year cross-functional initiative aligning Clinical, Regulatory, Marketing, and Sales to build an evidence portfolio supporting FDA submissions and market expansion into APAC and Eastern Europe.
- Scoped, designed, and delivered a patented AI-driven algorithm for personalized diabetes care delivery — led cross-functional alignment from concept through patent submission, translating clinical requirements into a production ML system.
- Represented Dexcom on international stages — presented research and real-world clinical evidence at multiple global conferences (audiences of 100+), directly supporting competitive positioning and lead generation in new markets.
- Published 3 peer-reviewed papers (84 citations, h-index: 3); research operationalized by Sales and Marketing for competitive positioning and lead generation.
- Developed churn and forecasting models that directly informed commercial strategy and product roadmap decisions at the business-unit level.
- Served on PRIDE ERG executive board, leading audit and redesign of talent-acquisition processes.
Beatport, LLC Denver, CO
Oct 2018 – Apr 2019
Data Engineer
- Designed and launched the company's first data science recommendation engine, translating raw user behavior into personalized product discovery at scale; built and maintained core data pipelines supporting customer experience across the platform.
University of Rochester Rochester, NY
May 2015 – Jan 2017
Research Data Analyst
- Designed and executed quantitative research projects using Python and SQL-based statistical analysis, contributing to published neuroscience studies and a grant-funded research program; presented findings to faculty and academic conferences.
Education
University of Colorado Boulder, Leeds School of Business — MBA Candidate
Expected May 2027
University of Rochester — B.S. Computational Neuroscience, Honors Distinction in Research Thesis
2015
Galvanize — Data Science Immersive Bootcamp, Denver, CO
2018
Core Competencies
Leadership & Program Management: Team Building & Mentorship, Cross-functional Program Leadership, Stakeholder Management, Executive Reporting, Roadmap Development, Hiring & Talent Development, Workshop Facilitation
Strategy & Operations: Enterprise Ops Strategy, AI Strategy & Use-Case Prioritization, Change Management, Process Design & Automation, Build-vs-Buy Analysis, Cost Optimization, Go-to-Market Support
Data & Systems Design: Data Warehouse Architecture, Analytics Layer Design, KPI & Metric Framework Development, Data Governance, Integration Strategy, Pipeline Architecture, BI Strategy, Looker
Commercial & Finance: ROI Analysis, Forecasting, Unit Economics, Sales Enablement, Client Acquisition & Retention, Competitive Positioning
Technical: Python, SQL, GCP, MLOps, ETL/ELT Pipelines, LLMs / GenAI, Scala
Publications & Patents
Dowd, R., et al. (2023). "Glycemic outcomes and feature set engagement among real-time CGM users." JMIR Diabetes, 8, e43991. (10 citations)
Akturk, H.K., Dowd, R., et al. (2021). "Real-world evidence and glycemic improvement using Dexcom G6 features." Diabetes Technology & Therapeutics, 23(S1). (68 citations)
Dowd, R., et al. (2020). "Real-time CGM usage and estimates of glycaemic control." Diabetologia, 63(SUPPL 1).
Derdzinski, M., Dowd, R., et al. (2025). "Glucose measurement predictions using stacked ML models." US Patent 12,390,131 [GRANTED]
Additional 5 patents (pending) and 3+ conference presentations in diabetes-management and glycemic-impact prediction.