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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Vice President, Data & AI - **Company:** Transcarent, Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $265,000.0 - $285,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Access, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Sharing, Distributed Systems, EHealth, Interoperability, Machine Learning, Metadata, Azure Machine Learning, Enterprise Data Management, Large Language Models, Technical Debt, Generative AI, Agentic-AI, AI Platforms, Data Management, Machine Learning Operations, Data Pipelines - **Published:** October 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=dde0f21f1d1f7550 ## About the Role Significant leadership experience building and scaling data engineering, data platform, AI/ML, or related technology organizations in complex, high-growth environments. * Proven experience defining and executing a modern enterprise data platform strategy, including architecture, data engineering, infrastructure, governance, and platform operations. * Deep understanding of modern cloud data architectures, data pipelines, data modeling, distributed systems, APIs, data products, and the technologies used to operate data platforms at scale. * Strong understanding of modern AI architecture and infrastructure, including ML platforms, LLMs, generative AI, agentic systems, model deployment, evaluation, observability, and emerging AI development patterns. * Demonstrated experience taking AI/ML capabilities from experimentation into reliable, scalable production environments. * Experience building internal platforms that enable Product, Engineering, Analytics, Data Science, or other technical teams to build and ship faster. * Strong product mindset with experience treating technical platforms as products-including understanding users, prioritizing roadmaps, driving adoption, and measuring platform effectiveness. * Proven ability to make thoughtful build-versus-buy decisions and navigate a rapidly evolving ecosystem of cloud, data, and AI technologies. * Experience establishing strong practices around data quality, governance, privacy, security, interoperability, and responsible AI. * Ability to operate comfortably at both strategic and deeply technical levels, from executive conversations about technology strategy and investment to architecture discussions with engineers and technical leaders. * Proven ability to recruit, develop, and lead high-performing engineering and technical teams. * Excellent communication and influence skills with the ability to translate complex technical concepts into clear business implications and decisions. * Comfortableoperating in a fast-moving environment where technology is evolving quickly, priorities shift, and leaders are expected to move from strategy to execution. Nice to Have * Experience in healthcare, health technology, digital health, or other highly regulated industries. * Experience working with complex healthcare data ecosystems, including clinical, claims, eligibility, provider, member, or other healthcare data. * Familiarity with healthcare interoperability standards and technologies. * Experience building platforms that support AI-enabled consumer, clinician, or enterprise products. * Experience leading major data platform modernization, consolidation, or post-acquisition technology integration efforts. ## Description Transcarent is seeking a VP of Data & AI to lead the technology foundation that powers data and artificial intelligence across the company. This executive will own the strategy, architecture, and execution of Transcarent's enterprise data and AI platforms: ensuring our teams have trusted, scalable, secure, and modern infrastructure to build intelligent products, power AI-enabled experiences, and put data to work across the organization. The VP of Data & AI will lead Data Engineering and AI/ML platform capabilities while partnering closely with Product, Engineering, Analytics, Clinical, Security, and business leaders. This leader will build and operate the foundational platforms, data products, infrastructure, and capabilities that enable our company to move faster. Success in the first 6-12 months will mean establishing a clear Data & AI platform strategy and architecture; improving the reliability, quality, and accessibility of enterprise data; accelerating the path from AI experimentation to production; and building a scalable platform operating model that supports Transcarent's next phase of growth. What You'll Do * Define and lead Transcarent's Data & AI platform strategy, establishing the architecture, roadmap, standards, investment priorities, and operating model for the foundational capabilities that power data and AI across the company. * Own and evolve the enterprise data platform, ensuring Transcarent has scalable, reliable, secure, and well-governed infrastructure for ingesting, integrating, transforming, storing, and serving data across products and business functions. * Lead Data and AI Engineering, establishing strong engineering practices and building the pipelines, services, data products, and infrastructure required to make trusted data available throughout the organization. * Build the platform for AI at scale, creating the infrastructure, tooling, services, and standards that enable teams to rapidly develop, evaluate, deploy, monitor, and improve machine learning, generative AI, agentic, and other AI-powered capabilities. * Accelerate the path from AI experimentation to production, reducing friction between promising prototypes and scalable, secure, reliable capabilities embedded in Transcarent products and workflows. * Establish reusable Data & AI capabilities, enabling Product and Engineering teams to leverage common data services, models, APIs, AI services, tooling, and infrastructure rather than creating fragmented solutions independently. * Partner closely with Analytics leadership, ensuring analytics teams have reliable, accessible, well-modeled, and appropriately governed data while maintaining clear ownership between platform/data engineering and analytics. * Establish mature enterprise data governance, including data quality, lineage, metadata, definitions, access, interoperability, lifecycle management, and stewardship in partnership with Analytics, Security, Privacy, Legal, and business stakeholders. * Drive platform reliability and operational excellence, establishing clear standards and measures for performance, availability, scalability, observability, cost efficiency, developer experience, and technical debt. * Build and lead a world-class Data & AI Platforms organization, developing strong leaders and technical talent while creating a culture of ownership, experimentation, engineering excellence, speed, and continuous improvement., Success in this role will be measured by the strength, scalability, and impact of the Data & AI foundation this leader builds, including: * Reliability, quality, accessibility, and performance of Transcarent's enterprise data platform. * Speed and ease with which Product, Engineering, Analytics, and AI teams can discover and use trusted data. * Reduction in time required to move AI capabilities from experimentation into production. * Adoption and reuse of shared data and AI platform capabilities across the organization. * Improvements in developer productivity and reduction of fragmented or duplicative data and AI infrastructure. * Effectiveness of data governance, privacy, security, responsible AI, and platform controls.