Senior Business Systems Engineer, AI Capability Lead - MHI
AbbVie
- Location
- Mettawa, IL
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 94 approvals (FY2023)
- Posted
- 1h ago
About this role
Company Description
About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.
Job Description
This Senior Business Systems Engineer, AI Capability Lead will provide independent technology leadership, solution shaping, and technical decision support for Medical Affairs and Health Impact (MHI) and related business areas, serving as the primary MHI Business Technology Solutions (BTS) technology point of coordination for AI-related capabilities and initiatives. This role will translate business problems and opportunities into technology capabilities, solution options, feasibility considerations, and scalable approaches that leverage AbbVie enterprise platforms, standards, and reusable services. This role will own and maintain the integrated MHI AI technology roadmap as a technology planning artifact, connecting active and planned AI initiatives to longer-term MHI capabilities and broader AbbVie and IR AI strategies in partnership with BRMs, architects, platform teams, engineering teams, and IR development organizations.
Responsibilities
Engage MHI business stakeholders, BRMs, BTS colleagues, and technical teams to understand business drivers, system needs, and AI opportunities. Identify process improvements, reuse opportunities, and key technology, data, architecture, security, privacy, compliance, and delivery risks. Own and maintain the integrated MHI AI technology roadmap as a planning artifact. Consolidate visibility across planned and active MHI AI initiatives; identify dependencies, overlaps, gaps, reuse opportunities, architectural considerations, and sequencing implications; connect individual initiatives to longer-term MHI capabilities; and align the roadmap with BRM-led priorities and broader AbbVie and IR AI strategies, platforms, and roadmaps. Shape scalable AI-enabled solutions by translating business problems and opportunities into technology options, requirements, feasibility considerations, and roadmap recommendations. Evaluate build, buy, reuse, and enterprise platform options in collaboration with architects, platform owners, security, privacy, compliance, and delivery teams. Ensure appropriate alignment with AbbVie enterprise architecture frameworks, approved AI platforms and solution patterns, engineering and development standards, data and integration standards, security and privacy requirements, responsible AI expectations, compliance requirements, and reusable services. Promote enterprise adoption to avoid unnecessary local, isolated, or duplicative solutions. Serve as a primary MHI BTS interface with internal IR development teams, enterprise architects, platform teams, engineering teams, and technical SMEs for AI-related work. Engage technical teams early during opportunity and solution shaping; surfaces technical dependencies; supports solution alignment; and escalates significant architecture, technology, data, responsible AI, security, privacy, compliance, or delivery risks through appropriate governance and delivery channels. Provide technology insight and practical guidance to MHI stakeholders and BTS colleagues regarding where AI is appropriate, what options exist, and how proposed approaches should align with AbbVie platforms, standards, and scalable enterprise services. Monitor relevant emerging AI technologies and translate them into practical MHI opportunities where applicable. Has defined authority and responsibility for technology analysis, recommendation quality,