Senior Business Analyst with AI Experience
Position Overview:
We are seeking an experienced and highly skilled Senior Business Analyst to join our team in a leading pharmaceutical company. This role will focus on supporting data-driven and AI-powered initiatives that enhance decision-making, operations, and advanced analytics.
The ideal candidate should have a strong analytical background and the ability to translate business needs into actionable insights and requirements for both AI-driven products.
This is an opportunity to work in a Fortune 500 company, contribute to life-changing projects at the intersection of data and artificial intelligence, and collaborate with a team of experts in a fast-paced, innovation-focused environment. You will be an integral part of a mission that aims to enhance healthcare outcomes through advanced analytics and AI innovation.
Key Responsibilities:
Collaborate closely with cross-functional teams, including data scientists, product managers, and data engineers, to understand business objectives and identify data and AI opportunities.
Conduct thorough requirements analysis for AI-centric projects, including gathering, documenting, and validating requirements to support product design and development.
Own end-to-end documentation — user stories, functional specifications, and AI/data workflows — ensuring consistency and traceability throughout the project lifecycle.
Participate in data governance, quality, and compliance initiatives, ensuring the accuracy, integrity, and ethical use of data in AI models and analytics.
Work with stakeholders to understand business goals and translate them into actionable requirements.
Act as a liaison between business users and technical teams, ensuring clear communication and alignment.
Actively participate in testing and validating deliverables— AI models and product features—ensuring outputs meet business requirements, are user-friendly, and align with compliance standards before launch.
Qualifications:
5+ years of experience as a Business Analyst with exposure to AI-focused projects.
Proven ability to independently lead requirements definition for AI/ML projects(e.g., predictive analytics, NLP solutions, intelligent automation etc.) from inception through delivery.
Strong track record managing complex stakeholder landscapes, including senior leadership, in fast-moving environments.
Ability to support and execute testing of deliverables (e.g., user acceptance testing, functional validation), ensuring high-quality outcomes.
Experience with data governance, data quality, and data privacy compliance within regulated industries is a plus.
Excellent communication skills with the ability to translate complex technical details, including AI concepts, into business language for stakeholders.
Highly organized and detail-oriented, with strong problem-solving skills.
Strong analytical skills.
Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus.
Basic understanding of SQL or data querying, though not required to perform data engineering tasks.