Senior Director of Software Engineering

Join H1, a leading healthcare data platform, as the Senior Director of Software Engineering for Data Streams. In this role, you will own H1's data feed delivery platform, ensuring the accuracy and reliability of structured healthcare data delivered to enterprise customers. You will lead the engineering organization responsible for quarterly data feed releases, drive the productization journey of the Directory Accuracy Management platform, and enforce the Data Stream Governance framework. This is a unique opportunity to make a significant impact in the healthcare and pharma industries.

• Diriger l'organisation d'ingénierie responsable des versions trimestrielles des flux de données d'H1, y compris les données HCP, HCO et d'essai clinique.
• Posséder et faire respecter le cadre de gouvernance des flux de données, la cadence de publication trimestrielle, les contrats de dictionnaire de données, les classifications de suivi.
• Conduire la construction de la plateforme DAM à travers toutes les phases, en passant d'une ingénierie sur mesure par client à un modèle configurable et productisé.

• You have spent your career at the intersection of data and delivery and you know the difference between building a data pipeline and owning a data product
• You understand that when an enterprise customer receives a file where a field the data dictionary said would be non-nullable is null for 30% of records, the problem isn't just a bug, it's a broken contract
• And you've been the person who owns that conversation, drives the root cause, fixes the QA gate, and makes sure it doesn't happen again. You are a governance-first leader who finds schema contracts and delivery discipline genuinely interesting, not just necessary
• You've moved a team through productization before, from bespoke per-customer engineering to a configurable, template-driven model, and you know how hard that organizational and technical change is in practice
• You've managed other engineering managers and know that developing a manager is a different skill from developing a senior IC
• You thrive in environments where accuracy is the value proposition and the expectation is that you build the structure rather than wait for it. You are a clear communicator, a decisive decision-maker, and the kind of leader who makes their team feel the difference between delivering data and delivering data that can be trusted
• You are comfortable in commercial conversations with pharma and life sciences customers, and you have enough domain knowledge to be credible when the discussion turns to how their organizations consume and use external data feeds
• Manager of managers experience, you have developed engineering managers as direct reports and know how to coach leadership, not just technical execution
• Decisive under ambiguity, you own tradeoffs between schema changes and customer commitments, between delivery speed and governance discipline, and communicate them clearly to all stakeholders
• Experience with QA frameworks for data delivery, schema conformance, completeness validation, value integrity checks, and pass/fail-with-reasons reporting. You treat the data dictionary as the contract and you've enforced that standard
• Pharma or life sciences domain knowledge, you understand how pharma and life sciences organizations consume external data feeds (HCP data, clinical trial data, HCO data) and what their expectations are around schema stability, delivery timing, and data quality
• 12+ years of software engineering experience with 4+ years leading engineering organizations at the Director or Sr. Director level, including direct management of engineering managers
• Proven track record owning a data product delivered to external enterprise customers — you have owned the schema, the delivery contract, and the customer relationship, not just the pipeline that produces the data
• Experience driving productization: moving from bespoke per-customer engineering to a configurable, template-driven platform. You have done this before and can speak to what it takes organizationally and technically
• Strong cross-functional communication: you can represent engineering in commercial conversations with pharma customers, data contract discussions with CS, and executive roadmap reviews with clarity and credibility
• Deep understanding of enterprise data delivery, schema governance, data dictionaries, file format expertise (Parquet, CSV, Avro), S3 and SFTP delivery, versioning, and release management for data products