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.
- S oft 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 plusMust 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 :
Bachelors / Masters degree in Engineering, Information Technology, Life Sciences, or related field.