Job Summary

We are seeking a highly motivated and experienced Business Analyst - AI Generalist to join our growing team. This role combines business analysis with artificial intelligence (AI) expertise to help identify business needs, define AI-driven solutions, and drive innovation through data and automation. The ideal candidate will have strong analytical skills, a solid understanding of AI technologies, and the ability to translate business requirements into effective AI solutions that deliver measurable results.

Job Description

Key Responsibilities

• Business Requirements Analysis:

  • Work closely with business stakeholders to identify and understand business needs, challenges, and opportunities where AI solutions can add value.

  • Analyze and document business requirements and translate them into clear functional specifications for AI solutions.

  • Conduct impact assessments and feasibility studies for proposed AI initiatives.

• AI Solution Design & Development:

  • Collaborate with data scientists, engineers, and AI specialists to design and develop AI models and algorithms tailored to business objectives.

  • Ensure AI solutions align with business goals and deliver measurable outcomes.

  • Support in the creation of data pipelines and ensure data quality and consistency for AI modeling.

• Data Analysis & Interpretation:

  • Perform detailed data analysis to identify trends, patterns, and insights that can inform AI-driven decision-making.

  • Develop dashboards and reports to visualize data findings and the impact of AI models on business operations.

  • Ensure proper data governance practices are followed and assist in data preparation for AI initiatives.

• Stakeholder Communication:

  • Act as a liaison between business units and technical teams, ensuring effective communication of requirements, progress, and results.

  • Present AI project findings, recommendations, and reports to senior management and key stakeholders in a clear, business-friendly language.

  • Provide training and support to business teams on how to utilize AI-driven insights and tools.

• Project Management & Implementation:

  • Develop hypotheses on product changes, design controlled experiments, analyze the results, and make recommendations based on impact to key metrics.

  • Manage AI-related projects from initiation through execution, ensuring deliverables are met on time, within scope, and aligned with business objectives.

  • Track and report on project milestones, KPIs, and performance metrics related to AI solutions.

  • Assist in the testing and validation of AI models and systems, ensuring accuracy and effectiveness.

• Continuous Improvement & Innovation:

  • Stay up-to-date with the latest trends in AI, machine learning, and business analysis methodologies to continually improve processes and deliver innovative solutions.

  • Provide recommendations for enhancing AI-driven systems and optimizing business processes.

Required Qualifications

• Education: Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Artificial Intelligence, or a related field.

• Experience:

  • 1+ years of experience as a Business Analyst if you have a Master’s degree; 3+ years of comparable experience otherwise.

  • Hands-on experience working on AI projects, including familiarity with AI methodologies, tools, and platforms (e.g., TensorFlow, PyTorch, Crew.ai, NLP, computer vision).

  • Proven track record of working with cross-functional teams, including technical and non-technical stakeholders.

  • Experience building and deploying AI tools with a record of meaningful usage

• Skills:

  • Strong analytical and problem-solving skills, with the ability to interpret complex data and business requirements.

  • Knowledge of AI and machine learning principles, algorithms, and their business applications.

  • Proficiency in data analysis and visualization tools (e.g., Power BI, Tableau, Python, R, SQL).

  • Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.

  • Experience in project management methodologies (e.g., Agile, Scrum).

  • Strong business acumen and the ability to align AI initiatives with business goals.

Preferred Qualifications

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and AI services.

• Experience with natural language processing (NLP), computer vision, or predictive analytics.

• 1+ years of personal or professional experience working with large language models (LLMs), rapid prototyping, model training, APIs, Retrieval-Augmented Generation (RAG), vector stores, and scalable AI deployment to production environments.

Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

The anticipated salary range for this position:

$85,280.00 - $123,760.00 Annual

The actual salary will vary based on applicant’s location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold.

Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For a more comprehensive list of our benefits please click here. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp.

Every day, we’re focused on building a more diverse and inclusive company, one that recognizes, values and respects the differences we all bring to the workplace. From doing what’s right to delivering business results, together, we’re better. Explore our Diversity, Equity and Inclusion page here.

Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.