Director, Data Engineering & Analytics

• Serve as the primary owner of Apogee’s Data Lakehouse architecture, roadmap, and implementation
• Define the data platform to support Clinical Development and Clinical Operations, with a clear path to extend to Technical Operations, Commercial, Medical Affairs, and Finance
• Design and oversee data ingestion, transformation, and storage for structured and semi-structured data from key Apogee sources
• Establish and maintain subject area data models and semantic layers tailored to clinical and operational use cases
• Ensure the platform is designed and operated in alignment with Apogee’s GxP, 21 CFR Part 11, SOX Controls, and other regulatory/compliance expectations
• Design, build, and maintain end-to-end data pipelines (ingestion, transformation, curation) into the Data Lakehouse
• Develop and maintain data models that serve Clinical Development, Clinical Operations, and later Tech Ops and Commercial / Med Affairs / Finance
• Implement data quality, lineage, and metadata practices
• Contribute to defining data governance at Apogee
• Design and build dashboards / analytic views that support key functional area use cases
• Define reusable data marts and semantic models that enable self-service analytics
• Act as a trusted partner to Clinical Development, Clinical Operations, Biometrics, Medical Monitoring, and other functions
• Work closely within IT (Infrastructure and Security), QA, and business stakeholders to support any required validation, testing, and controlled releases
• Communicate roadmaps, status, risks, and dependencies clearly and regularly to technical and non-technical stakeholders
• Drive adoption and literacy around the Data Lakehouse and BI tools by developing documentation, providing training/enablement for key users, and promoting best practices
• Help define the future operating model for data and analytics at Apogee

• 10+ years of experience in data engineering, data platform, or analytics roles, with meaningful experience owning or leading a modern cloud data platform (Data Lakehouse or cloud data warehouse)
• Bachelor’s degree (or equivalent professional experience) in Life Sciences, Information Systems, Engineering, or related field
• Proven track record as a hands-on senior level individual contributor
• Experience with cloud-based data platforms (e.g., Databricks, Snowflake, BigQuery, or similar) and modern data stack components
• Strong expertise in data modeling and ETL/ELT for analytics and reporting
• Experience working closely with integration teams (ideally with MuleSoft or similar)
• Prior experience in biotech / pharma / life sciences is strongly preferred, especially supporting Clinical Development, Clinical Operations, Biometrics, or Medical Monitoring
• Familiarity with data from CROs and clinical systems (e.g., EDC, CTMS, safety, lab, statistical outputs)
• Experience working in regulated environments (e.g., GxP, 21 CFR Part 11, HIPAA) and supporting audit/inspection readiness is highly desirable
• Exposure to Apogee-relevant systems is a plus (e.g., Veeva Vault applications, Egnyte GxP repositories, SAS server, NetSuite)
• Strong proficiency in SQL and at least one data engineering language (e.g., Python or Scala)
• Hands-on experience with data pipeline and orchestration tools (e.g., Airflow, Azure Data Factory, dbt, or similar) and CI/CD concepts for data workloads
• Solid understanding of data architecture patterns (data lakes, lakehouses, warehouses, dimensional modeling, semantic layers)
• Experience integrating data from file repositories (SharePoint, Egnyte) and external partners (CROs, cloud vendors, etc.)
• Strong understanding of data security, privacy, and access control in an enterprise setting
• Strategic yet pragmatic
• able to start from a greenfield environment and design a phased, realistic roadmap
• Excellent communication and storytelling skills
• Demonstrated ability to lead through influence
• High ownership and bias for action, comfortable operating in a fast-paced, high-growth clinical-stage biotech environment
• Interest in eventually building and leading a small data team
• Ability and willingness to travel up to 20%

Exposure to Apogee-relevant systems is a plus (e.g., Veeva Vault applications, Egnyte GxP repositories, SAS server, NetSuite)

• Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits
• Competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave
• Commitment to growing you professionally and providing access to resources to further your development
• Apogee offers regular all team, in-person meetings to build relationships and problem solve