Project Manager

HCL Technologies

Full-time - Mid Level

Professional, Scientific, and Technical Services

About the position

The Data cum Business Analyst role focuses on managing and evolving the Data Product working practices and governance within the pharmaceutical R&D domain. The position requires overseeing data product demands, onboarding team members, executing business and data analysis, and ensuring adherence to industry standards and processes such as GxP, CSV, ITIL, and Agile methodologies. The role is critical in ensuring quality assurance, process improvement, and timely project delivery while collaborating closely with development teams and stakeholders.

Responsibilities

• Manage and evolve the Data Product working practice and governance.
• Manage the Data Product demands.
• Onboard and guide the Data Product team peers on demand basis.
• Execute the Data Product business and data analysis.
• Adhere to the Data Product working practice and governance.
• Ensure compliance with Otsuka pharma R&D domain, GxP, CSV, ITIL, and Agile processes.
• Oversee quality assurance processes, ensuring adherence to coding standards and implementation of best practices.
• Participate in technical design discussions and review technical documents.
• Create project plans and track schedules for on-time delivery as per defined quality standards.
• Work closely with the development team and on-site engineers to understand technical requirements and resolve technical issues.
• Identify and flag potential risks and issues that may impact project timelines or quality, and develop mitigation strategies.

Requirements

• At least 8 years of intensive hands-on experience in Data Projects as a Data Analyst using the Data Analysis suite of tools (preferably Snowflake, Alation, Jupyter Notebook, Python, Advanced SQL).
• Strong understanding of Data Analysis concepts (Data Profiling, Exploratory Data Analysis, and Data Insights & Visualization).
• Experience working in the Life science Pharma R&D domain.
• Experience in Clinical Trial Data Management (CDM), CRF, and CDM data domains knowledge.
• Experience working in the Life science Pharma GxP, CSV process, and documentation.
• Experience writing Technical Documentation in compliance with GDP.
• Experience working in ITIL and Agile frameworks (preferably ServiceNow and Azure DevOps).
• Excellent listening, critical thinking, and analytical skills.
• Certification in Data Management (any specialty).