Sr Manager – Data Science & AI - UK & AUS

The International Data Science & AI organization is committed to transforming data into actionable intelligence and scalable AI capabilities that enable markets to drive better decisions, improved customer engagement, and measurable business outcomes.

We are seeking a Sr Manager – Data Science and AI to deploy in-market DS solutions in UK, Australia & Korea as well as lead capability programs across international markets, including program strategy, model design, product roadmap, and delivery coordination across stakeholders. This is a senior role with significant influence, requiring strong cross-functional leadership across country business stakeholders, Data Science & IIS teams.

The successful candidate will thrive in a fast-paced, highly collaborative environment, translate business needs into clear project/program requirements, and scale in-market and international capabilities from pilots to scalable deployments while operating within governance, privacy, and responsible AI practices.

Role responsibilities

Role definition and key accountabilities include, but are not limited to:

This role is accountable for delivering data science-driven insights and solutions by developing and implementing models and insights that drive brands’ strategic priorities.

• You are a top-tier hands-on data scientist with experience in delivering end-to-end DS solutions and organizing analytical processes and workflows.
• You have a passion for applied empirical analytics and answering hard questions with data, and the demonstrated ability to conceptualize, promote and implement business insights.
• You have the ability to use advanced machine learning techniques for driving highly applied analyses and tools to directly drive revenue and optimize resources.
• Have a strong passion for conceptualizing, documenting and deploying complex analytical plans to take on business problems.
• Confirmed collaboration, executive communication and storytelling skills with ability to adapt and connect across a variety of audiences. This includes strong writing, and data visualization skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives.
• Be a self-starter, driven, accountable and a high-energy leader.
• Background in healthcare, Pharma, or health payments analytics experience highly preferred.

Basic qualifications

• Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Statistics, Economics, Mathematics, Operations Research, Information Systems, Engineering, or a related discipline)
• 8+ years of work experience delivering analytics, data science, AI/ML, or digital/data products in a business environment, with demonstrated end-to-end ownership from problem framing to outcomes
• 4+ years of hands-on product management experience
• Demonstrated experience translating business priorities into clear requirements and roadmaps and leading delivery across cross-functional stakeholders (including influence without direct authority)
• Strong stakeholder management and communication skills: ability to distill complex analytical concepts into clear, decision-oriented insights for technical and non-technical audiences
• Strong program/project management skills: ability to define scope/deliverables, manage dependencies, monitor progress, and drive implementation and adoption.
• Experience working with data and analytics ecosystems (e.g., data platforms, BI, analytics engineering) and collaborating with engineering teams to operationalize solutions.
• Ability to operate effectively in a multi-country, international environment, partnering across regions and time zones.

Preferred qualifications

• Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline
• Experience in segmentation (customer/HCP, account, or analogous segmentation), targeting, portfolio planning, or decision support, including measurement of impact and adoption.
• Experience in developing Machine Learning based products, preferably with Large Language Models and GenAI solutions
• Experience in developing and operating analytic workflows and model pipelines that are parametrized, automated and reusable
• Experience developing and deploying data and analytic products for use by technical and non-technical audiences
• Pharma & Life Science commercial functional knowledge
• Pharma & Life Science commercial data literacy

Professional characteristics

• Growth Mindset: Actively seeks improvement, evaluates the impact of insights, and helps partners anticipate strategic changes.
• Analytical Thinker: Synthesizes information across data sources into clear insights and recommendations; connects analytics to business drivers and value.
• Strong Communicator: Translates technical outputs into actionable commentary that enables effective decisions; adapts style to audience.
• Relationship Manager / Influencer: Builds durable partnerships across levels and functions; positively influences without formal authority.
• Highly Collaborative: Shares responsibility and credit; works effectively across teams; supports others through knowledge sharing and teamwork.
• Strong Program Manager: Defines scope, success criteria, and action plans; sequences work appropriately; monitors outcomes and drives adoption.
• Proactive Self-Starter: Comfortable with ambiguity; prioritizes competing demands; stays current on analytics/AI trends and applies them pragmatically.

Non-standard work schedule, travel or environment requirements

Ability to work non-traditional work hours interacting with global teams spanning across different regions (e.g. North America, Europe, Asia)

One bold way Pfizer is achieving its purpose is through its company-wide digital transformation strategy. The company is adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.

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