Sr Staff Business Analyst

    • Thermo Fisher Scientific
  • Chicago, IL
  • Posted 60+ days ago | Updated 14 hours ago

Overview

On Site
Full Time

Skills

Needs analysis
Business requirements
Collaboration
Strategic planning
COE
Budget
Data Analysis
Change management
Generative Artificial Intelligence (AI)
Natural language processing
IMPACT
Use cases
Metrics
Data
Modeling
Business process
Project management
Leadership
Management
Organizational change management
Artificial intelligence
Communication
Training
Data Science

Job Details

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.


Skills/Experience:

  • 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.
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