Director - Data and Analytics Product - Global Functions

Be You’ at GSK

At GSK, we unite science, technology, and talent to get ahead of diseases together. 

We are a world leader in infectious diseases, including vaccines and HIV, with the broadest portfolio in the industry, pushing the frontiers of respiratory science and improving the lives of millions of patients, recognised for our ESG leadership, making an impact on some of society’s most urgent challenges We’re confident that together we can make a positive impact on the health of more than 2.5 billion people by 2031.

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Job purpose:

As the Director, AIML & Decision Science - Global Functions (working closely with the Head of Data & AI for Global Functions and D&A leadership in GSK’s Global Capability Center), you will own and manage AI/ML competency, oversee design, development and deployment of AI/ML & Data Science Products for GSK’s Global Functions.

Acting as a competency leader, for business functions and GSK’s Digital & Technology teams (which include Subject Matter Experts and external third-party organizations), you will work closely with senior business leaders (in Finance, Procurement, HR, Legal, Compliance, Risk Management, WREF etc) and various technology leaders to oversee the development and implementation of AI/ML projects, ensuring they are delivered on time, within budget, and with the desired outcomes leveraging GSK’s Enterprise Data Platform.

Day-to-day you will use your AIML, data science, business domain and product development expertise to define and refine D&A product visions, strategies and roadmaps to drive the design and delivery of high-quality AI solutions (to enable the company to achieve its objectives.

AI and Analytics products currently being delivered by the team include a range of AI and Analytics products, including conversational AI solutions, automation tools, forecasting models, and AI agents designed to achieve business objectives more efficiently than human efforts.

Key Responsibilities:

• Understanding needs, business processes and data requirements of customer-groups and users, and manage key business relationships for your AI/ML portfolio
• Manage across a portfolio of data products, identify synergies and dependencies, and manage successful delivery.
• Combining business understanding with knowledge of established and emerging AI/ML capabilities to identify and cultivate use-cases from ideas into potential D&A products
• Build and manage a team of AI/ML professionals, including data scientists, machine learning engineers, and researchers, ensuring they have clear objectives and the resources needed to succeed.
• Oversee the development and implementation of AI/ML projects, ensuring they are delivered on time, within budget, and with the desired outcomes
• Foster a culture of continuous learning and development within the AI/ML team, including mentoring and career growth opportunities
• Encourage a culture of innovation and experimentation within the team to explore new AI/ML techniques and applications
• Ensure that AI/ML practices adhere to ethical standards and comply with relevant laws and regulations, particularly regarding data privacy and security.
• Work closely with other departments, such as GP&T, product management, and business units, to integrate AI/ML solutions into the broader business strategy.
• Stay abreast of the latest developments in AI/ML technology and research to maintain a competitive edge and apply cutting-edge methods to solve business problems.
• Engage with internal partners to understand and probe business processes to develop hypotheses and bring structure to requests and translates requirements into an analytic approach
• Work collaboratively with business leaders in Identifying critical business problems that could be solved using Generative AI. Identify opportunities to leverage the latest Large Language Models (LLMs)
• Thinking and acting with agility, using experimentation, user demos and other sources of rapid feedback to iteratively refine the D&A Product Roadmap and backlog throughout the Product lifecycle
• Confirming delivery from development team meets the business requirements and creates the expected value in line with business KPIs
• Coaching and guiding wider Data, Analytics and AI teams, promoting a culture of continuous improvement

Basic qualifications:

We are looking for professionals with these required skills to achieve our goals:

• PhD in Computer Science, Applied Math, Economics, Statistics, Physics, Systems Biology, Computational Biology, Bioinformatics, or related field
• 18+ years of technical experience in delivering solutions involving Data Science, Machine Learning or Statistics
• 10+ years in managing cross-functional teams and leading the execution of highly visible complex projects, demonstrating strong project management.
• Strong relevant experience of Data & Analytics Product Development (ideally within a cloud environment like Azure)
• Domain knowledge in life science industry is preferred

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.

#LI-GSK

Skills

Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (GCP) for Machine Learning, Machine Learning Operations, Model Evaluation, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC)

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

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