Role Summary
The Senior Director, R&D E-Systems & AI Quality leads Electronic Systems and Artificial Intelligence Quality activities for the Development organization within R&D Quality. You will define and execute the Quality Digital & Controls Strategy, address implications of AI, ML, RPA, and other digital tools, and build partnerships across Development, IT, and other functions while elevating Quality as a trusted advisor. The role requires influencing cross-functional stakeholders and modernizing Quality & Compliance practices to novel technologies.
Responsibilities
- Define and execute the Quality strategy for Development Electronic Systems including the use of AI, establishing standards, goals, and a long-term roadmap that ensures compliance, data integrity, and business enablement
- Enable adoption of emerging technologies (e.g., RPA, AI, ML, LLMs) by embedding fit-for-purpose quality controls into processes to drive innovation while ensuring compliance, efficiency, and quality
- Champion automation and digital solutions to enable CSV/CSA activities and increase transparency
- Drive a risk-based approach to validation and eSystem data integrity
- Partner with IT and Business functions to modernize E-Systems Quality and align with evolving regulatory landscape
- Unify Electronic Systems policies and procedures across PDM, Commercial, and IT
- Lead and facilitate change management strategy and activities related to strategy and process change
Responsibilities (Operational Excellence and Oversight)
- Oversee Development systems and applications, including use of AI and ML for Development
- Advise in cross-functional governance to ensure Quality is a key consideration in technology initiatives
- Support the R&D Data Governance Council with focus on Data Integrity, Privacy and Protection
- Serve as Development Global Process Owner for E-systems Quality (process, issues, risks, inspection and audit requests)
- Identify and implement process improvements to enhance output and efficiency of E-System compliance
- Define and implement metrics to measure E-Systems Quality performance, increasing transparency and accountability
- Oversee Development QA activities, including testing, validation, and risk management in line with CSA principles
- Ensure data privacy and security compliance and maintain high data integrity
- Anticipate and mitigate risks across the Development E-Systems portfolio, resolve delivery roadblocks, and align stakeholders
- Use data-driven insights to analyze CAPAs, deviations, and quality events to identify systemic issues and actionable improvements
- Maintain continuous audit readiness for Development E-Systems and provide efficient audit support
- Review, assess, and defend critical audit observations related to E-Systems in Development
- Manage vendor relationships and ensure cost-effective, value-aligned execution
- Drive accountability for SaaS vendor-managed eSystems in a validated and compliant state, aligning with data integrity standards
- Shape enterprise-level strategies to mitigate risk, strengthen regulatory readiness, and enhance data governance and system resilience
Qualifications
- Deep understanding of R&D/Development system/application quality assurance methodologies, testing techniques, and risk management
- Strong familiarity with R&D electronic systems regulations and standards, including GxP in biopharmaceuticals
- Proven ability to lead and motivate a team, provide guidance, and drive change
- Ability to identify and resolve complex quality and compliance issues
- Understanding of and experience with change management principles
- Bachelor of Science or Arts degree; advanced degree preferred
- 13+ years of pharmaceutical industry IT and/or Development experience
- Excellent written and oral communication skills
- Experience managing external vendors and overseeing budgets
- Ability to develop and manage cross-functional relationships across R&D
- Applied knowledge of performance measurements (metrics, dashboards)
- Proven ability to delegate in a matrix environment, anticipate risks, and solve problems
- Strong leadership presence with ability to influence programs without direct authority
- Strong EQ and interpersonal skills with understanding of team dynamics
- Strong negotiation and conflict resolution skills
- Ability to make hard decisions impacting staff
- When needed, ability to travel
Skills
- Digital tool adoption (AI, ML, RPA) and innovation enablement in regulated environments
- Cross-functional collaboration and stakeholder influence
- Change leadership and culture transformation
- Risk-based thinking and simplified regulatory processes
- Lean continuous improvement and SOP harmonization
- Data governance, privacy, and data integrity principles
- Quality assurance testing, validation, and CSA competencies
- Vendor management and budget oversight
Education
- Bachelorβs degree required; advanced degree preferred
Additional Requirements