Note: The job is a remote job and is open to candidates in USA. SoTalent is a Pharmaceutical Manufacturing company seeking a Manager – Data & AI Analytics Engineering. The role involves designing, building, and scaling modern data and analytics solutions to enable data-driven decision-making and AI-powered insights across enterprise operations.
Responsibilities
- Design, develop, and maintain scalable data pipelines and transformation frameworks
- Build and optimize data models supporting enterprise reporting, analytics, and operational decision-making
- Integrate data from multiple business systems, databases, and cloud platforms
- Develop curated datasets and semantic models that support standardized reporting and KPI measurement
- Create and optimize dashboards, datasets, and reporting solutions using modern BI platforms
- Partner with business stakeholders to define metrics, reporting standards, and data definitions
- Deliver executive-level analytics and operational reporting solutions that drive business value
- Support AI-driven initiatives including predictive analytics, automation, and intelligent decision-support solutions
- Collaborate with teams to enable AI and machine learning use cases through scalable data architectures
- Develop reusable frameworks for automation, data validation, monitoring, and operational alerts
- Implement data quality controls, monitoring processes, and validation frameworks
- Maintain metadata, documentation, and data lineage to support governance and transparency
- Support enterprise data standardization and platform modernization initiatives
- Lead requirements gathering, solution design reviews, testing coordination, and production deployments
- Provide technical guidance, code reviews, and best-practice recommendations across teams
- Drive continuous improvements in data engineering processes, performance, and scalability
Skills
- Bachelor's or Master's degree in Computer Science, Data Engineering, Analytics, or a related field
- 8+ years of experience in Data Engineering, Analytics Engineering, or related disciplines
- Strong expertise in SQL and Python within large-scale data environments
- Experience with modern cloud data platforms such as Databricks, AWS, or Azure
- Proven track record designing and optimizing data pipelines, ETL processes, and semantic data models
- Experience with business intelligence tools such as Power BI and/or Tableau
- Understanding of AI/ML workflows and data architecture requirements
- Experience within life sciences, healthcare, pharmaceutical, or highly regulated industries
- Exposure to Generative AI, LLMs, or agent-based AI solutions
- Experience with DataOps, CI/CD pipelines, and Git-based development practices
- Knowledge of metadata management, data governance, and lineage frameworks
- Familiarity with enterprise analytics and data science platforms
Company Overview