2 months ago
London, United KingdomSenior
Responsibilities
- Own the end-to-end technical relationship for one strategic global healthcare account from discovery and qualification through proof of concept, technical close, and expansion.
- Build and deliver demonstrations, solution architectures, and executive presentations aligned with clinical, operational, and research data priorities.
- Design and lead proofs of concept covering clinical interoperability, population health, claims and payer analytics, real-world evidence, and AI/ML for diagnostics and care optimization.
- Translate healthcare regulatory and technical requirements, including HIPAA, GDPR, and HL7/FHIR, into production-ready Snowflake solutions.
- Partner with the Account Executive and leadership as the account’s primary technical owner and co-develop the joint success plan.
- Coordinate with Product, Professional Services, Support, and Engineering to resolve blockers and accelerate adoption.
- Mentor junior Solution Engineers and elevate the technical standard of the global accounts practice.
Requirements
- 8+ years of experience in pre-sales solution engineering, technical consulting, or data engineering in enterprise B2B technology.
- Significant experience with healthcare or life sciences customers and healthcare data use cases such as clinical interoperability, claims and payer analytics, population health, real-world evidence, and AI/ML for diagnostics or care optimization.
- Hands-on expertise with cloud data platforms, ideally Snowflake, and the ability to architect and demonstrate enterprise-grade solutions live.
- Proficiency in SQL, Python, and healthcare data engineering tools such as dbt, Spark, or equivalent.
- Strong executive communication skills with the ability to engage CDOs, CTOs, CMIOs, and CIOs at large healthcare organizations.
- Demonstrated success leading complex technical evaluations, winning competitive proofs of concept, and building lasting technical relationships within strategic enterprise accounts.
- Experience using AI and LLM-based tools in technical workflows and articulating Snowflake Cortex AI capabilities in healthcare contexts, including privacy and compliance.
- Preferred experience includes working within or selling to health systems, payers, life sciences companies, or health technology platforms.
- Preferred experience includes Snowflake, Cortex AI, data sharing, Snowpark, Native Apps, HL7, FHIR, OMOP, real-time clinical data pipelines, data governance, de-identification, privacy-preserving analytics, or dedicated named-account Solution Engineering.
Tech Stack
Categories
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.