Colin Gick
Vice President, Data and Analytics @TimelyCare
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WORK HISTORY
Vice President, Data and Analytics @TimelyCare
I lead enterprise data, analytics, AI, and core business systems at TimelyCare, working closely with executive leadership to translate strategy into scalable execution.My scope spans data architecture, engineering, BI, data science, and GTM systems, with a focus on building AI-ready foundations that support growth, efficiency, and better decision-making in a regulated healthcare environment.Key areas of focus and impact include:• Established and chair the enterprise AI Steering Committee, creating structured intake, prioritization, governance, and impact measurement to move AI use cases from concept to production• Built and scaled production AI capabilities across internal operations, GTM intelligence, and emerging clinical workflows, balancing build vs. buy decisions and governance requirements• Modernized the enterprise data architecture to support governed analytics and AI at scale, including semantic modeling to standardize metrics across clinical, operational, and commercial teams• Partner closely with the C-suite on pricing, product strategy, and capability investments, ensuring data and systems reflect how the business actually operates• Re-architected Salesforce and CPQ to introduce service-line and product-level visibility beneath existing bundles, improving commercial insight and laying groundwork for future product-line P & Ls
EDUCATION
Cornell University
Bachelor of Science (B.S.), Communication, Double Minor in Business and Information Science
Georgia Institute of Technology
Master of Science - MS, Analytics
SKILLS
ABOUT COLIN GICK
I work at the intersection of strategy, data, AI, and business systems, helping organizations turn ambition into operating leverage. My focus is on building the foundations that allow companies to make better decisions, scale efficiently, and adopt AI in ways that are practical, governed, and durable.At TimelyCare, I lead enterprise data and analytics, spanning architecture, engineering, BI, data science, and core business systems. My role combines hands-on execution with executive partnership, ensuring that data platforms, GTM systems, and emerging AI capabilities are aligned to how the business actually operates and grows.Much of my work centers on modernizing data and system foundations, moving away from bespoke and fragile solutions toward reusable and governed architectures that support analytics today and AI at scale tomorrow. This includes redesigning enterprise data platforms, aligning Salesforce and CPQ to real-world operating models, and establishing structured intake and governance frameworks to move AI use cases from concept to production.I am particularly interested in the last mile of data and AI, including governance, incentives, adoption, and measurement. In my experience, technology only creates value when it is embedded into workflows, trusted by teams, and tied to clear business outcomes, especially in regulated environments.I am focused on helping organizations scale data and AI capabilities in step with business growth, while building toward long-term digital maturity that balances speed, trust, and impact.
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