Sr Manager Data Science And Ai

Overview

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 senior role requires significant 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 upscale in‑market and international capabilities from pilots to scalable deployments—while operating within governance, privacy, and responsible AI practices.

Role Responsibilities

• Deliver data science driven insights & solutions by developing and implementing models & insights that drive brands’ strategic priorities.
• Lead end‑to‑end data science solutions and organize analytical processes and workflows.
• Apply advanced machine learning techniques to drive highly applied analyses and tools that directly drive revenue and optimize resources.
• Conceptualize, document and deploy complex analytical plans to address business problems.
• Collaborate with executive stakeholders and communicate findings through storytelling, clear writing and data visualization.
• Manage ongoing and ad‑hoc analyses and predictive analytics to provide leadership with actionable insights at tactical and strategic levels.
• Act as a self‑starter, driven, accountable and high‑energy leader with a background in healthcare, pharma, or health payments analytics (highly preferred).

Basic Qualifications

• Bachelor’s degree in an analytics‑related area (Data Science, Computer Engineering, Computer Science, Statistics, Economics, Mathematics, Operations Research, Information Systems, Engineering, or a related discipline).
• 8+ years of 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 and 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.

Purpose

Breakthroughs that change patients’ lives… At Pfizer we are a patient‑centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.

Digital Transformation Strategy

We are leading the way in 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.

Flexibility

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.

Equal Employment Opportunity

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is committed to celebrating this, in all its forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Disability Inclusion

We are proud to be a disability inclusive employer, ensuring equal employment opportunities for all candidates. We encourage you to put your best self forward with the knowledge and trust that we will make any reasonable adjustments to support your application and future career.