Business Analyst

Position Summary:

We are seeking a highly experienced and driven Business Analyst to lead and manage Product digital and IT initiatives within the pharmaceutical/life sciences sector. The ideal candidate will have strong experience in Business analysis, stakeholder engagement, and driving execution across multiple workstreams, while ensuring compliance with regulatory and quality standards.

Key Responsibilities:

• Lead end-to-end product management for IT/technology initiatives in the pharma/life sciences domain, ensuring requirement gathering , gap analysis , process flows modelling documentation practices and technical document writing.
• Experienced in data analysis (SQL, ETL etc), automated testing experience (UAT experience), understanding of Machine Learning and AI
• Collaborate with cross-functional teams including R&D, Quality, Manufacturing, Regulatory, and Commercial teams.
• Define product scope, objectives, backlog refinement.
• Manage vendor coordination, software implementation, system integration, and infrastructure deployments.
• Ensure alignment of projects with industry regulations such as GxP, CFR Part 11, HIPAA, GDPR, etc.
• Experience in change management, training, and adoption strategies.
• Ensure adherence to internal project governance, compliance, and validation procedures.
• Proficient in Jira, Confluence, ALM, Vera, Veeva platforms, Lucidchart, Microsoft Tools, PowerBI.
• Soft Skills: Problem solver, critical thinker, detail oriented and big picture thinker, inquisitive, ability to communicate technology to the business/decode solutions, process optimization.

Required Qualifications:

• 5 to 8 years of total experience in IT/Technology Business analysis, with at least 4 years in the Pharma/Life Sciences domain.
• Strong understanding of regulatory environments and compliance standards (FDA, GxP, CSV, etc.).
• Hands-on experience with Agile, Scrum, or Hybrid delivery methodologies.
• Ability to manage cross-functional teams and third-party vendors.
• Excellent communication, stakeholder management, and leadership skills.
• Relevant BA certification is a plus

Must Have:

• Analysis Experience with data platforms, analytics in pharma, or AI/ML initiatives in life sciences.
• Exposure to cloud migrations, enterprise platforms like SAP, Veeva, Oracle Health Sciences, etc.
• Understanding of pharma manufacturing processes, quality control, or clinical development lifecycle.

Education:

• Bachelor’s/Master’s degree in Engineering, Information Technology, Life Sciences, or related field.