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.

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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.

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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

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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.

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Education:

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