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 develop in-market DS solutions in Spain as well as lead capability programs across international markets, including, model design, product roadmap, 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, upscaling of 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 & solutions by developing and implementing models & insights, that drive brands’ strategic priorities.
- You are a top-tier hands on data scientist with experience in delivering end-to-end DS solutions & 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.
- Leading ongoing and ad-hoc analyses and predictive analytics to provide leadership with actionable insights at tactical and strategic levels.
- 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.
- 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.
- Ability to operate effectively in a multi‑country, international environment, partnering across regions and time zones.
- 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
- Experience developing and deploying data and analytic products for use by technical and non-technical audiences
PROFESSIONAL CHARACTERI