Associate Director, Design Strategy & Engineering

Role Summary

The Associate Director, Design Strategy and Engineering leads the UX/UI development team responsible for designing and implementing intuitive, high-impact user experiences and front-end solutions for Data Science and Analytics products. This role partners with product owners and data science experts to ensure seamless integration of advanced analytical insights into scalable, user-centric applications.

Responsibilities

• Responsible for people management including managing line-level people managers
• Oversees UX/UI and front-end development strategy for Data Science & Analytics (DSA) product portfolio, ensuring best practices in accessibility, usability, and modern front-end architectures.
• Partners closely with cross-functional stakeholders (including Product, Engineering, Clinical, and Compliance teams) to translate analytical capabilities and complex datasets into engaging user interfaces.
• Champions design-thinking principles and user-centered approaches to accelerate adoption and impact of DSA solutions.
• Drives continuous improvement in front-end quality, maintainability, scalability, and performance across all DSA products.
• Drive the implementation of next generation technology and process to enable enterprise data analytics on pace with emerging integrated data sources (biomarker/translational, big data, digital sources, real world data, pharmacovigilance data, clinical trial data)
• Responsible for coaching, mentoring and performance management of direct reports. Responsible for talent development in alignment with R&D business needs
• Represents the functional area at critical governance, quality and compliance, and regulatory meetings
• Ensures consistent analytics support through effective resource management, prioritization, and timeline management.
• Fosters innovation and entrepreneurial culture within the team that attracts and retains top talent; Creates an environment of continuous learning
• Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development

Qualifications

• Bachelor‚Äôs degree statistics, analytics, bioinformatics, data science or equivalent field. Master‚Äôs degree preferred
• Must have 6-8+ years of experience with enabling novel analytics capabilities through UI/UX across business areas with 3-4 years of experience leading a team or cross functional initiatives
• Experience leading multi-disciplinary teams in UX/UI design, front-end engineering, or product design for analytics or data-driven applications preferred
• Familiarity with front-end frameworks (e.g. Angular), design systems, and rapid prototyping tools (e.g. Figma) preferred
• Experience with visualization, dashboard creation tools, interactive analytical web applications platforms (e.g. Dash Enterprise, Spotfire) preferred
• Demonstrated ability to set strategy for design and engineering within complex product portfolios preferred
• Working knowledge of digital accessibility standards and best practices for inclusive product design preferred
• Intermediate-level proficiency in R, Python or other statistical packages. Intermediate-level knowledge of statistical and data mining techniques
• Demonstrated project management skills
• Experience with Machine Learning and other advanced analytics techniques preferred
• Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts in layman‚Äôs terms
• Demonstrated problem-solving and analytical skills
• Demonstrated history of successful execution in a fast-paced environment and in managing multiple priorities effectively
• Demonstrated ability to influence cross-functional leaders at Director level
• Good understanding of clinical development functional areas and related processes is preferred
• Proven track-record with leading complex cross-functional initiatives

Education

• Bachelor‚Äôs degree in statistics, analytics, bioinformatics, data science or equivalent field; Master‚Äôs degree preferred