Digital Technology Lead – Data and AI

Role Summary:
Director-level Data and AI Lead to define and scale enterprise data and AI capabilities in a biotech environment, establishing AI/data strategy and technical foundation to support clinical, regulatory, medical affairs, commercial, and executive decision-making.

Key Responsibilities:
- AI strategy/roadmap: develop and execute a pragmatic, responsible AI roadmap; prioritize high-value use cases by business value, feasibility, readiness, and risk.
- Enterprise productivity enablement: lead adoption of approved AI tools (e.g., Microsoft Copilot, ChatGPT Enterprise).
- Business-outcome use cases: deliver AI/analytics for dossier readiness, writing acceleration, clinical operational visibility, proactive monitoring, site engagement, SOP/policy drafting, contract review support, and knowledge assistants.
- Regulated data/AI controls: ensure security, compliance, governance, and alignment with GxP, privacy, data integrity, and inspection readiness (partner with Quality, Legal, Information Security, and business owners).
- Data strategy & architecture: define/own enterprise data technology strategy; design scalable infrastructure integrating internal/external sources across domains.
- Reporting & operating model: build clinical-to-commercial reporting capabilities; establish intake, delivery practices, success metrics, portfolio prioritization, and governance.

Qualifications:
- BS in Computer Science/Data Science/Info Systems/Engineering/Life Sciences (advanced degree preferred).
- 10+ years in data/analytics/digital/AI/enterprise platforms (biotech/pharma/life sciences or other regulated industry preferred).
- Experience implementing enterprise/genAI/automation/ML/advanced analytics use cases.
- Experience with AI enablement (champions, prompt libraries, governance/responsible AI adoption).
- Experience with Microsoft 365 Copilot/Copilot Studio, ChatGPT Enterprise, enterprise AI assistants/knowledge platforms.
- Experience defining data strategy, platforms, governance, and analytics operating models.
- Familiarity with cloud/analytics tools (Azure, Fabric, Power BI, Databricks, Snowflake, AWS, or similar).
- Familiarity with GxP, 21 CFR Part 11, EU Annex 11, data integrity, CSV, and audit-ready documentation.

Benefits:
Comprehensive health coverage, flexible paid time off, generous parental leave, competitive 401(k), education assistance, wellness resources, and financial security.

Application Instructions:
Visit https://www.vorbio.com/.