Sr Staff Business Analyst at Thermo Fisher Scientific in Chicago, Illinois

Job Description:

Work Schedule

Other



Environmental Conditions

Office



Job Description



Business Analyst - Generative AI, BID


Job Responsibilities:

• Conduct thorough needs assessment to identify business requirements and opportunities for Gen AI applications


• Collaborate with stakeholders to develop a strategic plan for Gen AI adoption that aligns with the corporate goals and objectives.


• Identify potential Gen AI use cases across BID that can drive value, improve efficiency, or solve complex business problems.


• Help prioritize use cases based on potential impact, feasibility, and alignment with strategic objectives.


• Act as a liaison between business stakeholders and CoE/development team, ensuring clear communication and alignment on project objectives, timelines, and deliverables.


• Use project management skills to track progress, manage risks, and ensure projects are delivered on time and within budget.


• Perform data analysis to support business decisions related to Gen AI projects and monitor the performance of implemented solutions.


• Lead change management efforts to ensure smooth adoption of Gen AI technologies, including stakeholder communication, training, and support.

• Solid grasp of Generative AI technologies, trends, and applications, including natural language processing and data synthesis. Ability to translate technical AI concepts into business advantages.


• Proficient in developing strategies for AI adoption that align with corporate goals, identifying high-impact use cases, and setting clear metrics for success.


• Skilled in analyzing complex data sets to uncover insights and opportunities for improvement. Experience in modeling business processes and outcomes with AI.


• Strong project management skills, capable of leading cross-functional teams through the lifecycle of AI projects, from concept to implementation.


• Expertise in managing organizational change associated with AI adoption, including stakeholder communication, training, and support.


• Exceptional ability to work with IT, data science teams, and business stakeholders to ensure alignment and buy-in.


• Clear and persuasive communicator.