Clario's data platforms power the clinical trial data our customers rely on. As Associate Director, Data Engineering & Analytics, you'll lead the global team responsible for building, operating, and modernizing our enterprise data platforms. You'll ensure production reliability, drive engineering excellence, and support modernization aligned with Clario's NxT.Lumen strategy while working closely with Product, Architecture, Data Governance, Quality, and customer-facing teams.
What You'll Do- Lead enterprise data engineering, integration, warehouse, analytics engineering, and API services.
- Own end-to-end engineering delivery, including development, testing, validation, deployment, and production support.
- Set technical direction and engineering standards with Architecture and Data & Analytics leadership.
- Modernize legacy platforms, reduce technical debt, and drive migration and retirement plans aligned with NxT.Lumen.
- Ensure production reliability through monitoring, SLAs, incident management, root-cause analysis, and continuous improvement.
- Lead technical responses to critical production and customer-impacting issues.
- Establish standards for data modeling, CI/CD, automated testing, release management, observability, and documentation.
- Partner with Data Quality on testing, reconciliation, and release readiness.
- Ensure compliance with Clario SOPs, SDLC, validation requirements, and audit remediation.
- Implement data governance, lineage, MDM, and security standards with Data Governance.
- Translate product roadmaps and customer needs into scalable engineering solutions.
- Own budgets, resource plans, delivery commitments, vendors, and global delivery capacity.
- Track delivery, reliability, and quality metrics while proactively managing risks.
- Build and develop a high-performing global team with clear ownership and knowledge transfer.
- Represent the team in architecture, customer, and executive forums.
What You'll Bring- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
- 10+ years in enterprise data engineering, software engineering, integration, or data warehousing.
- 5+ years leading engineering teams, including distributed or global teams.
- Strong technical experience with Databricks, Snowflake, AWS, Talend, Airflow, Python, SQL, APIs, and ETL/ELT.
- Experience managing end-to-end engineering delivery, enterprise production platforms, and legacy modernization.
- Experience establishing CI/CD, automated testing, release management, and engineering standards.
- Experience managing technical roadmaps, budgets, resources, and vendors.
- Working knowledge of data privacy, security, and technology risk.
- Experience with regulated SDLC, computer-system validation (CSV), SOPs, and audit readiness.
- SAFe or scaled-agile experience.
- AI-enabled engineering and automation experience.
Nice to Have- Life sciences, clinical research, pharma, CRO, or healthcare experience.
- Knowledge of clinical data transfer and integration standards.
- Databricks Lakehouse/Unity Catalog and modern DataOps experience.
- Legacy data warehouse and ETL modernization experience.
- Customer-facing SaaS experience.
The duties and responsibilities listed in this job description represent the major responsibilities of the position. Other duties and responsibilities may be assigned, as required. Clario reserves the right to amend or change this job description to meet the needs of Clario. This job description and any attachments do not constitute or represent a contract.
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