AbbVie: Associate Manager, Pipeline Analytics & Operations — North Chicago, IL, United States

About AbbVie

AbbVie is a biopharmaceutical business focused on discovering and delivering medicines and related health solutions. Its employer introduction identifies immunology, oncology and neuroscience among its therapeutic areas, alongside the Allergan Aesthetics portfolio. The organisation's stated mission connects current health problems with the development of treatments for future medical needs. Its activities therefore have both scientific and product-delivery dimensions, with different functions supporting research, medicines and services within the named therapeutic and aesthetics areas.

The position and its setting

AbbVie lists Associate Manager, Pipeline Analytics & Operations in North Chicago, IL, United States, under reference R00151451. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 23 October 2026
• Brands: AbbVie

Responsibilities and work described

• The Associate Manager of Pipeline Analytics and Operations plays a crucial role in supporting data analysis and operational processes to achieve business objectives
• This position emphasizes improving efficiency through effective data utilization and process management
• Contribution: to insights to enhance strategic planning and operational workflows will be essential
• List up to 10 main responsibilities for the job
• Include information about the accountability and scope
• Basic Data Analysis and Insight Generation: Conduct essential data analysis to extract insights that inform pipeline project decisions
• Evaluate data to identify basic trends and anomalies, providing foundational insights to support decisions
• Preparation: data summaries for review by senior management, contributing to informed planning
• Data Visualization and Data Representation: Create visual reports to communicate data insights and performance metrics clearly and efficiently
• Use tools and techniques to design presentations that clear, engaging and support understanding of operational outputs
• Tailor visuals to be accessible for varied audiences, facilitating data-driven discourse
• Use AI development tools such as Claude Coding to develop scripts that can be applied to create or enhance data analysis and visualization
• Foundational Information Management Strategy: Provide foundational support for data management practices that enhance insight discovery
• Collaboration: with teams to ensure data tools are effectively utilized and maintained
• Regularly assess practices to improve data usage and management in line with strategic initiatives
• Support: developing data quality standards and procedures to enhance data reliability

Essential requirements and candidate background

• Interpersonal, problem-solving, and analytical skills
• Demonstrated history of successful execution in a fast-paced environment and managing multiple priorities effectively
• Work independently and represent sound strategies is required
• Must have clear leadership skills that minimally include the following: written and effective interpersonal communication; capability to present and logically justify proposals; sound judgment; effective communication across cultures and disciplines; relationship building and fostering teamwork
• Proficiency: the tools and techniques of project management and business operations
• Good technology skills (e.g., project management software, business intelligence tools, etc.) required

Education and qualification routes

• Degree / qualification: Bachelor’s degree preferred in a technical, scientific, or business management-related discipline and 4+ years professional work experience, preferably in project coordination, system-based processes, or the pharmaceutical or biotech industry, or Master’s degree

Preferred experience and additional strengths

• Experience: or knowledge of the drug development process is preferred
• Experience: AI-assisted development tools such as Claude Code, GitHub Copilot, or similar platforms, including using AI to develop scripts, automate workflows, troubleshoot technical issues, and accelerate data and analytics solutions is preferred
• Basic project team leadership experience is a plus
• Database management and querying experience highly preferred
• Customer service or systems support experience preferred

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Work arrangement: Hybrid
• Advertised location: North Chicago, IL, United States

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Associate Manager, Pipeline Analytics & Operations vacancy is not an offer for reference R00151451; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to AbbVie

Applications follow the official employer page linked below.

Open the official AbbVie posting below and match the title and reference R00151451.

Compare your qualifications and experience with the essential conditions for the North Chicago, IL, United States position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: data analysis

An analysis example should start with the question and the available data. Explain cleaning, assumptions, checks and the conclusion, including any limits that affected what could reasonably be inferred.

Relevant skills

• AI/ML
• data analysis
• AI
• process improvement
• communication
• pharmacy
• customer support
• project management
• problem resolution