You will be taken to GSK GCC Bangalore’s own careers page to apply. Job ID Job Code: J003368.
Job description
Job Purpose: To lead the ideation, development and deployment of Artificial Intelligence (AI) and Generative AI (GenAI) technologies within the global Quality organization. This role ensures the compliant, harmonized, and value-driven use of AI and associated automation across GxP-regulated processes by acting as both a program lead and operational enabler. This role directs and manages the translation of business requirements into detailed user requirements and plays and active in the technical development, data pipeline, software documentation, validation efforts, user training, deployment and lifecycle management. The position supports users in the adoption of AI tools and ensures that all AI-enabled applications supported in this role meet regulatory, data integrity, and business performance standards. The role also serves as a key interface between Quality, TECH, Responsible AI other GSC BUs, and other functions to ensure that AI solutions are scalable, auditable, and continuously improved.
Key Responsibilities
AI System Development, Deployment and Lifecycle Management:
Define and continuously refine the roadmap for the supported system(s) and AI applications to include a product backlog of enhancements and updates.
Working with process owners, all relevant stakeholders and Tech to translate the business-identified use cases into business requirements for cost and timing estimates and ultimately into user requirements.
Drive delivery of AI prototypes to prove concepts and demonstrate value. Lead further refinement of the AI tool to deliver a minimum viable product (MVP) and iterations per the aligned to roadmap while realizing direct efficiency or effort reduction for the business.
Lead the implementation of AI use cases across Quality domains, ensuring measurable impact on compliance, efficiency, adoption and user experience.
Serve as business representative for the technology aspects of AI-enabled Quality processes, ensuring compliant and harmonized use of GxP AI applications across GSC.
Compliance & Risk Management
Ensure AI applications comply with GxP and data integrity requirements by following process and procedures to include but are not limited to Responsible AI, DTMS (Digital & Tech Management System), Computer Software Validation, AI risk and control measures.
Collaborate with QMS and validation teams to ensure AI tools are appropriately documented, validated, and auditable.
Ensure the AI risk and control measures are documented and include as part of the software development and lifecycle process to include risk mitigation, AI guardrails and required data inputs for on-going AI model oversight.
Operational Support & Change Enablement
Support Quality teams during audits and inspections by preparing AI-related documentation, performance monitoring outputs, and FAQ documentation.
Train and onboard new users, interns, and site Quality Experts on the AI tools and processes supported by this role.
Generate appropriate audit preparation documentation that could include an audit storyboard, AI compliance information, frequently asked questions, etc.
Performance Monitoring & Continuous Improvement
Monitor KPIs related to AI adoption, accuracy, and compliance. Analyze trends and provide guidance to sites on reducing errors and achieving targets.
Lead forums and working groups for supported systems to drive AI process improvements, share best practices, and harmonize implementation across sites.
Evaluate change requests and product backlog for supported AI systems and assess their impact on business processes, compliance, and user experience.
Create and define a plan for data based process oversight after the implementation of AI automation.
Cross-Functional Collaboration
Interface with Responsible AI, Digital & Tech, Business, Regulatory, Data Governance, and Quality Systems & Standards to ensure AI initiatives are integrated and compliant.
Represent Quality in steering committees, vendor demos, and industry forums to benchmark and shape best practices.
Support the integration of AI into broader strategic initiatives such as Smart Manufacturing 2030, Virtual Inspector, and Quality Plan/Quality Improvement Plan.
Knowledge Management & Community Building
Maintain a knowledge base of AI after action reviews, best practices and learnings to benchmark and improve AI implementation and lifecycle management.
Ensure training materials and documentation are up to date and accessible in centralized repositories.
Required Qualification & Skills
15+ years of profession experience with Bachelor's/ Master's degree or equivalent in experience. Engineering, Computer Science, Life Sciences, or related discipline
Experience with demonstrated experience in delivering Digital Transformation, AI/ML, scaled automation, technology solutions or similar roles within life sciences regulated industries. Proven leadership in deploying Innovative solutions in highly regulated GxP environments.
Strong experience in technical or engineering role.
Experience working in agile teams that drive innovation and simplification by providing enterprise wide standardized solutions.
Ability to work across an enterprise to influence business outcomes as quickly as possible.
Deep understanding of Digital, Data, Analytics AI/ML, GenAI, and their application in Quality systems.
Strong knowledge of validation, compliance, and risk management in pharmaceutical settings.
Strong knowledge of business case creation and realization of value from digital project implementation.
Excellent communication, stakeholder engagement, and change management skills.
Fluent in English, additional language is a plus (e.g. French).
Skills Data Integrity, Digital Fluency, GxP Regulations, Influencing Without Authority, Lean Management, Problem Solving, Project Management, Quality Assurance (QA), Quality Management Systems (QMS), Risk Awareness, Technical Writing
Why GSK? Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases – to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Inclusion at GSK: As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process.
Please contact our Recruitment Team at IN.recruitment-adjustments@gsk.com to discuss your needs.
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Required skills
ai system development, generative ai, risk management, quality management systems, ai risk and control measures, problem solving, lean management, influencing without authority, gxp regulations, digital fluency, quality management systems (qms), data integrity, quality assurance (qa), technical writing, project management, risk awareness, digital transformation, ai prototyping, ai deployment, lifecycle management, ai validation, ai adoption, ai training, audit preparation, performance monitoring, process improvement, stakeholder engagement, change management
