IT Commercial Systems, Data & AI Intern-Summer 2027

Job Description:

Job Purpose

The IT Commercial Systems Data & AI Intern will support Xeris growing Data AI and Business Technology capabilities by helping translate business needs into technology data and AI solutions. The role will provide hands-on exposure to business analysis data products artificial intelligence solution evaluation and emerging technologies.

The intern will work cross-functionally with business and technology teams to identify opportunities develop requirements evaluate potential solutions analyze data support prototypes and proofs of concept and help assess the business value of new capabilities. This role is designed to provide broad exposure to how data AI and technology can improve decision-making automate work and enable new ways of operating across Xeris.

Team dynamics collaboration communication curiosity and critical thinking are essential elements of the role.

Essential Job Functions

• Partner with business stakeholders to understand business problems and help document business requirements current-state workflows use cases success criteria and evaluation criteria for critical business technology initiatives.

• Support technology and platform evaluations by researching potential solutions comparing capabilities against defined business requirements and helping develop structured evaluation materials and recommendations.

• Help identify document and evaluate high-value AI and automation use cases based on business value feasibility data readiness risk adoption considerations and implementation complexity.

• Support the definition and development of data products by identifying users required data sources business rules metrics data quality expectations and desired business outcomes.

• Research and evaluate AI platforms models agents applications and emerging technologies for potential applicability to Xeris business needs.

• Support rapid prototypes pilots and proofs of concept using approved AI analytics automation and data tools.

• Perform exploratory analysis of business data to identify trends data quality issues opportunities and insights that support business decisions.

• Assist with data governance activities including documenting data definitions metadata business rules data lineage ownership and data quality requirements.

• Map current-state business processes and identify opportunities to simplify automate or redesign workflows using data AI and technology.

• Help define key performance indicators and measurement approaches for pilots data products and technology investments to determine whether solutions are delivering expected value.

• Support responsible AI and AI governance activities including use-case documentation risk assessment responsible-use considerations and maintaining inventories of AI initiatives and capabilities.

• Apply a product-oriented approach to Data and AI initiatives by helping define users business problems desired outcomes requirements adoption considerations and measures of success.

• Participate in cross-functional workshops and working sessions with IT and business teams such as Commercial Medical Finance Legal/Compliance and other functions as appropriate.

• Develop clear requirements documents process maps evaluation matrices dashboards presentations and other materials that communicate findings to technical and non-technical audiences.

• Help create and maintain technical and business documentation user guides standards and operating procedures where appropriate.

• At the conclusion of the internship complete a defined Data or AI capstone project and present the business problem approach findings recommendations and potential impact to the organization.

Skills and Qualifications

• Undergraduate or graduate candidate pursuing a degree in Data Science Computer Science Information Systems Analytics Artificial Intelligence Engineering Business Analytics or a related field.

• Minimum GPA 3.0.

• Returning to an academic program at a credentialed institution for at least one semester post-internship.

• Strong analytical and problem-solving skills with an interest in the intersection of business data AI and technology.

• Ability to break down ambiguous business problems and organize information into clear requirements analyses or recommendations.

• Basic familiarity with data concepts such as relational data analytics visualization APIs data pipelines or data quality.

• Familiarity with artificial intelligence generative AI large language models machine learning or automation concepts is preferred but not required.

• Exposure to SQL Python Power BI Snowflake or similar data and analytics technologies is a plus.

• Basic understanding of Agile methodologies and product development lifecycles

• Strong written verbal and presentation skills.

• Curiosity and willingness to learn new technologies and business processes quickly.

• Ability to work collaboratively with technical and non-technical stakeholders.

• Strong judgment when working with confidential proprietary or sensitive information.

• Competencies: Curiosity Structured Problem Solving Learning Agility Analytical Thinking Communication Teamwork & Collaboration Attention to Detail Initiative Adaptability Professionalism and Organization.

Working Conditions

• Position may require periodic evening or weekend work as necessary to fulfill obligations.

• Computer use: Up to 90% of the time.

• This role is based in Xeris Chicago office and requires five days per week in the office.

#LI-ONSITE

The anticipated hourly wage for this position is $23.00 - $29.00.

We are committed to offering competitive compensation. Starting pay is determined based on a variety of factors including the role job-related knowledge skills experience education internal equity market data and the location of the role where applicable.

Xeris Pharmaceuticals Inc. (the Company) is an equal opportunity employer and does not discriminate based on race color religion sex gender identity sexual orientation national origin age disability veteran status genetics or any other characteristic protected by law. All qualified candidates are given equal opportunity and the Companys employment selection decisions are based solely on job-related : This job description is not intended to be all-inclusive. The employee may be required to perform other related duties as needed to meet the ongoing needs of the Company.

The level of the position will be determined based on the selected candidates qualifications and experience. Final determination of the actual base salary offered depends on several factors including but not limited to the candidates skills experience education location and business needs. Employees are eligible for equity or long-term incentive awards where applicable. Field Sales role employees are eligible for a quarterly commission structure. Non-Sales role employees are eligible for an annual bonus. The Company also offers a comprehensive benefits package that includes additional elements such as paid time off benefits various health vision and dental insurance options 401(k) retirement benefits and more for eligible employees. Details about these and other offerings will be provided at the time a conditional offer of employment is made. Candidates are always welcome to inquire about our compensation and benefits package during the interview hired as temporary employees interns and preceptors are not eligible for commissions bonuses and/or long-term incentive or equity awards. Eligibility for other benefits will be based on plan documents.

Accessibility & Reasonable Accommodations

If because of a medical condition or disability you require a reasonable accommodation or assistance to complete any part of the application process please send an e-mail to and identify the type of accommodation or assistance you are requesting. Please include the job requisition number in your message. Please note if your request is not for this stated purpose you will not receive a response to your email. Do not include any medical or health information in this email.

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Required Experience:

Intern