Senior Director Data and Analytics – Global Functions

BBSTEM Ltd.
Job description
Site Name: UK – London – Brentford
Posted Date: Mar

Senior Director, Data & Analytics – Global Functions Role: The Senior Director will be responsible for the activation and prioritization of high value data & analytics (D&A) use cases through the creation of D&A squads and MVP resourcing of D&A experts. This individual will need to scale sustainable data products within the portfolio by using relevant governance, stakeholder management, and the consistent monitoring and reporting of business value delivery. By integrating data and analytics capabilities across multiple global functions, the Senior Director will be able to unlock new insights, enhance operational efficiency, and drive sustainable competitive advantage for the organization.

In addition, this leadership role will act as a key driver for implementing the GSK enterprise data & analytics strategy across Global Functions, and will support the ongoing digital, data, and analytics transformation aligned with the company’s ongoing commitment to innovatively meet challenges and leverage opportunities posed by shifting market forces, evolving regulatory environments, changing patient needs and expectations, and emerging developments in healthcare. This will enable the use of new technologies and collaborative practices, grow data science, improve data quality, deliver greater business value, and support line-of-business analytics strategies, initiatives, and programs.

Key responsibilities:

• Developing a D&A portfolio across all Global Functions, with associated best practices across program governance, stakeholder management, monitoring, and reporting of business value delivery for all use cases
• Defining business problems and developing analytical solutions with a focus on operationalizing Machine Learning (ML) models and Artificial Intelligence (AI) technologies.
• Evaluating the quality and performance of AI/ML models for operationalization, fostering sustainable enterprise solutions
• Overseeing the end-to-end lifecycle of data products for Finance, Procurement, HR, and other Corporate functions, including Data Engineering, to create analytics ready datasets, develop the data products, and provide ongoing support, maintenance, and enhancements.
• Developing and mentoring staff at all levels in a matrix organisation and building an internal capacity to deliver high quality and highly innovative analytics services
• Identifying key business challenges, formulating data-driven hypotheses, and developing innovative solutions using AI
• Aligning data and analytics initiatives with the organisation’s overall goals and objectives. This includes identifying opportunities for leveraging AI and advanced analytics to drive business value, improve processes, and gain a competitive edge
• Being a proactive, dynamic, and charismatic leader with first-class communication and storytelling skills
• Developing the Generative AI roadmap and managing the solution space
• Co-creating appropriate use cases with the business that will benefit from Generative AI.
• Working collaboratively with business leaders in identifying critical business problems that could be solved using Generative AI. Identifying opportunities to leverage the latest Large Language Models (LLMs)
• Quickly prototyping scenarios from LLMs to UX for user testing purposes.
• Influencing the AI/ML stack like Feature Stores, Model Stores, and automated MLOps to create most value out of LLMs
• Educating the organisation on Generative AI both from an IT and a business perspective

Requirements:

• Undergraduate or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Minimum of 10 years of experience in Data Science, Machine Learning, or Artificial Intelligence, with at least 5 years in a leadership role
• Strong knowledge of statistical modelling, Machine Learning, and Deep Learning techniques, and their practical applications in a business context
• Experience in time series, causal models, and AI-powered forecasting.
• Experience with programming languages such as Python, R, or SQL, and data visualization tools such as Power BI
• Experience in AI, Python programming, Deep Learning frameworks, and big data technologies, including PySpark, Synapse, and Databricks
• Strong expertise in designing, creating, evaluating, and deploying models to production, monitoring, and governing data and analytics products
• Experience working with structured and unstructured data
• Excellent communication and interpersonal skills, with the ability to interact with stakeholders at all levels of the organisation
• Strong project management and leadership skills, with the ability to lead cross-functional teams and manage multiple projects simultaneously
• Exceptional executive-level relationship-building skills with a strong ability to influence others
• Strong problem-solving skills, creativity, and the capacity to think analytically and strategically
• Previous experience integrating data and analytics capabilities across multiple global functions
• Leadership experience across a complex matrixed environment as well as operating in a fast-paced business-critical environment
• Excellent persuasion, negotiation, presentation, and verbal communication skills
• Experience with data platform management in Microsoft Azure, including data warehousing, data lakes, and data pipeline

Why Us?

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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only).

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

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