Business Systems Consultant - Business Relationship Management

The Business Systems Consultant - Business Relationship Management, serves as a strategic partner between R&D IT and the global Discovery R&D organization, with primary responsibility for supporting Small Molecule Therapeutics & Platform Technologies (SMTPT). This leader manages and develops a team of business systems analysts while collaborating with R&D leadership to deliver technology solutions that advance AbbVie’s Drug Discovery objectives. Through strong relationship management, people leadership, and strategic alignment, the role enables scientific innovation and operational excellence across the organization.
Responsibilities:
​​Build and maintain productive partnerships across global leadership, scientists, external collaborators, and other stakeholders to develop and execute integrated technology strategies within the R&D organization.
​Collaborate with R&D scientists/executives and IT executives to initiate, plan, and set strategic direction for R&D IT projects.
Partner with R&D and IT leaders to identify opportunities for AI/ML to enhance scientific and technology workflows.
​Oversee the deployment and integration of scientific technology tools, including AI solutions, and high-performance computing resources to support R&D discovery research.
​Champion continuous improvement through ongoing education, evaluation of best practices, and implementation of innovative solutions.
​Develop and execute stakeholder engagement strategies to inform, consult, and involve stakeholders in key initiatives.
​Ensure compliance with all relevant corporate and divisional policies and procedures.
​Lead and develop a team of business analysts, fostering a positive, collaborative, and high-performing culture.
​Promote a strong customer-focused mindset, ensuring team commitment to engaging stakeholders in process and service development.
​Drive team members’ professional growth through mentorship, training, and development initiatives.
​Proactively advise leadership on risks and issues to ensure effective management and communication.
Required:
Bachelor’s Degree in Life Sciences, Business, Computer Science, Information Systems, Chemistry or a related discipline with 7 years of relevant experience; OR Master’s Degree with 6 years of relevant experience; OR PhD with 2 years of relevant experience.
​Demonstrated experience in business relationship management, business systems analysis, project management, technology solution delivery, or software implementation.
​Proven ability to lead projects, manage competing priorities, and drive successful business outcomes in complex organizational environments.
​Experience leading and developing teams, including direct reports, contractors, or cross-functional resources.
​Strong stakeholder management, communication, and influencing skills, with the ability to build trusted partnerships across business and technology organizations.
​Ability to translate business strategies and scientific objectives into technology roadmaps and actionable solutions.
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Preferred:
​Advanced Degree (MS or PhD) in Life Sciences, Bioinformatics, Computer Science, Information Systems, or a related scientific discipline.
​Experience supporting pharmaceutical, biotechnology, healthcare, or scientific research organizations.
​Strong understanding of drug discovery, research informatics, scientific platforms, and data management practices.
Demonstrated AI fluency, with the ability to engage business and technical stakeholders on AI/ML opportunities, translate business needs into use cases, and help drive the adoption of AI-enabled solutions.
​Experience leading cross-functional teams and driving collaboration across business, scientific, and technology functions.
​Demonstrated success aligning technology strategy, digital innovation, and business objectives.
​Knowledge of emerging technologies, including artificial intelligence, advanced analytics, and high-performance computing in research environments.
​Familiarity with regulatory requirements, data privacy standards, compliance frameworks, and quality management practices relevant to scientific research.

Employment type
Full-time

Work arrangement
Hybrid