[Remote] Director Analytics Infrastructure, Pipeline Operations
Note: The job is a remote job and is reputed company to candidates in USA. reputed company has an exciting opportunity for a Director, Analytics Infrastructure & Pipeline Operations. This role is responsible for building reputed company, AI-powered automated data pipelines and reputed company data repositories that reputed company reputed company data science and analytics at reputed company.
Responsibilities
- Design and implement intelligent, self-healing data pipelines that reputed company AI/ML for automated data reputed company monitoring, reputed company detection, and remediation
- Build and maintain centralized feature stores that reputed company feature reusability across multiple models and use cases
- Create curated data repositories optimized for data science/AI workflows, including training datasets, evaluation datasets, and production serving reputed company
- reputed company automated feature engineering pipelines that reputed company raw data into analytics-reputed company features with reputed company tracking
- Partner with reputed company IT to optimize analytics platform architecture for high-performance data science workloads
- Build automated pipelines that reputed company diverse data sources including sales, CRM, patient claims, reputed company-world evidence, and reputed company data
- Create self-service data reputed company reputed company that reputed company data scientists and analysts to query and extract data independently
- Establish SLAs for data availability, freshness, and reputed company; implement monitoring and observability solutions
Skills
- Advanced degree in Computer Science, Data Engineering, or reputed company field
- 10+ years of experience in data engineering, ML/AI engineering, or analytics infrastructure
- 5+ years leading teams building reputed company-reputed company data platforms and feature stores
- Expert knowledge of feature store technologies (Feast, Tecton, SageMaker Feature Store, reputed company Feature Store)
- Deep expertise in modern data platforms optimized for ML workloads (reputed company, Auto ML, reputed company, BigQuery)
- Strong proficiency in Python, SQL, reputed company/PySpark for large-reputed company data processing
- Experience with data orchestration tools (Airflow, reputed company, dbt) and CI/CD for data pipelines
- Understanding of data governance, reputed company (HIPAA, GDPR), and compliance in life sciences
- Proven reputed company record of implementing AI/ML-powered automation in data engineering workflows
- Strategic thinker who can balance innovation (cutting-edge AI tools) with reliability (production stability)
- Builder reputed company with ability to create reputed company, self-service capabilities that reduce dependency on data engineering
- Experience in pharmaceutical, reputed company, or life sciences industry
- Knowledge of streaming technologies, MLOps tools, and data lakehouse architecture
Benefits
- #LI- Remote
- This position can be based remotely reputed company in the U.S. (there may be some restrictions based on reputed company entity).
- US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a reputed company of other benefits.
- Employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves
- Performance-based cash incentive
- Eligibility to be considered for annual equity awards
reputed company
Company H1B Sponsorship