
201 - 500 employees
Founded 2017
⚕️ Healthcare Insurance
☁️ SaaS
🏢 Enterprise
💰 $40M Series B on 2020-10
Healthcare Insurance • SaaS • Enterprise
Datavant is a company that provides a platform and network focused on making health data secure, accessible, and usable across the healthcare ecosystem. With a focus on data connectivity and interoperability, Datavant facilitates the movement of healthcare records across a vast network of organizations, including hospitals, clinics, health systems, and data partners. Their suite of products and solutions covers areas such as health data exchange, data transformation, and privacy compliance, serving various clients including health plans, healthcare providers, life sciences, and government organizations. Datavant's mission is to advance human health through improved data exchange and analytics.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $227k - $280k / year
⏰ Full Time
🟠 Senior
🤖 Artificial Intelligence
🦅 H1B Visa Sponsor
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201 - 500 employees
Founded 2017
⚕️ Healthcare Insurance
☁️ SaaS
🏢 Enterprise
💰 $40M Series B on 2020-10
Healthcare Insurance • SaaS • Enterprise
Datavant is a company that provides a platform and network focused on making health data secure, accessible, and usable across the healthcare ecosystem. With a focus on data connectivity and interoperability, Datavant facilitates the movement of healthcare records across a vast network of organizations, including hospitals, clinics, health systems, and data partners. Their suite of products and solutions covers areas such as health data exchange, data transformation, and privacy compliance, serving various clients including health plans, healthcare providers, life sciences, and government organizations. Datavant's mission is to advance human health through improved data exchange and analytics.
• Build and execute a company-wide AI adoption strategy that drives meaningful, measurable behavior change across product, engineering, and G&A functions. • Design role-based enablement programs — from AI fundamentals for non-technical teams to advanced workflows for engineers and product managers. • Stand up and scale an internal AI Champions network embedded across departments to sustain momentum and surface adoption blockers. • Create communication strategies that demystify AI, build trust, and foster a culture of experimentation and continuous learning. • Develop and track adoption metrics, workforce readiness scores, and program ROI (AI-Value Metrics) to report progress to executive leadership. • Define internal AI usage policies, acceptable use guidelines, and governance frameworks that balance innovation with risk management. • Partner with Legal, Security, and Compliance to assess AI tools and use cases — ensuring data privacy and vendor risk standards are met. • Advocate for ethical, transparent, and inclusive AI practices both internally and in customer-facing product decisions. • Stay ahead of evolving AI regulation (EU AI Act, US executive guidance, etc.) and translate implications into policy and practice. • Build and lead a team of AI enablement professionals — including program managers, instructional designers, and AI solution specialists. • Influence senior stakeholders across a fast-moving, matrixed SaaS organization without always having direct authority. • Represent AI Enablement at the executive level, contributing to company-wide AI strategy conversations and board updates. • Partner with Finance to both track and forecast AI Spend and tracking that spend to AI-Value. • Partner with People/HR and L&D to integrate AI fluency into hiring profiles, onboarding, and performance frameworks.
• 10-12+ years in SaaS, technology, or enterprise software, with significant experience in product management, digital transformation, or technology enablement. • 3–5 years directly leading AI adoption and automation, AI product strategy, or large-scale change management programs in a SaaS environment. • Hands-on experience with AI platforms such as OpenAI and Anthropic • Strong working knowledge of the modern AI/GenAI landscape — LLMs, copilots, AI-native SaaS tools, MCPs/APIs — with the ability to engage credibly with both engineering and business audiences. • Proven expertise in change management methodologies and the ability to drive adoption across a diverse, distributed workforce. • Excellent communication and executive presence; a natural storyteller who can make AI accessible and compelling to any audience. • Demonstrated success building and leading high-performing teams.
• Competitive compensation • Equity participation
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