Senior Manager, Data Science and AI Technical Product Owner
- India - Mumbai
- IND - Chennai Office
Do you want to make an impact on patient health around the world? Do you thrive in a fast-paced environment that brings together scientific, clinical and commercial domains through engineering, data science, analytics and AI? Then join Pfizer Digital’s Artificial Intelligence, Data, and Analytics organization (AIDA) where you can leverage cutting-edge technology to inform critical business decisions and improve customer experiences for our patients and physicians. Our collection of engineering, data science, analytics and AI professionals are at the forefront of Pfizer’s transformation into a digitally driven organization leveraging data science and advanced analytics to change patients’ lives. The Industrialization team within AI and Data Science COE leads the scaling of data, insights and AI capabilities - critical drivers and enablers of Pfizer’s digital transformation.
As a Data Science and AI Technical Product Owner, you will be a leader within the AI and Data Science Industrialization team charged with setting a vision for and championing analytic and AI industrialized asset products that serve a broad base of users ranging from analysts, data scientists, and engineers to marketers, medical experts, and researchers. You will create, own the roadmaps for, and lead the development of an array of products that generalize point solutions into analytic and AI systems to simplify and fuel insight generation.
ROLE RESPONSIBILITIES
Partner with other leaders within the AI and Data Science Industrialization team to define team roadmap and drive impact by providing strategic and technical input including platform evolution, vendor scan, and new capability development
Communicate value delivered through industrialized AI/ML assets to end user functions (e.g., Chief Marketing Office, PBG Commercial and Medical Affairs) and partner to ideate, design, and implement industrialized assets that can be scaled across markets, brands, and TAs
Partner with AIDA Data team to integrate industrialized assets into enterprise-level analytics data products where appropriate
Partner with AIDA Platforms team on continuous development and end to end capability integration between OOB platforms and internal engineered components (API registry, ML library / workflow management, enterprise connectors, GenAI reusable components); Performance and resource optimization of managed pipelines and models
Lead the advancement of at scale “industrialized” AI and data science capabilities and industrialized asset products
Own vision and maintain a holistic and consistent roadmap for industrialized asset products
Participate in the development of the product and service roadmaps for Generative AI products. Serve as product owner on Generative AI projects that deliver on the product roadmaps and mature the product and service offering across the enterprise.
Provide the voice of the user as the product owner on agile product development teams to maximize value and impact of industrialized asset products
Drive adoption of products through enterprise wide user community engagement (e.g., roadshows, training sessions, knowledge sharing etc.)
Develop and maintain business-facing assets documentation/communication for industrialized asset products (e.g., value proposition, catalog, and adoption metrics)
Define, monitor, and achieve product success and value metrics
Coordinate with other product and digital teams to ensure industrialized asset products fully enable and are integrated into the end to end data science, analytics and AI service delivery ecosystem
BASIC QUALIFICATIONS
Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
2-3 years of hands-on product management experience
2+ years of hands-on software development experience, preferably in a cloud environment such as AWS
Track record of managing cross-functional stakeholder groups and effecting change
Clearly articulates expectations, capabilities, and action plans; actively listens with others’ frame of reference in mind; appropriately shares information with team; favorably influences people without direct authority
Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in
Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust of the team
Experience in translating business priorities and vision into product/platform thinking, set clear directives to a group of team members with diverse skillsets, while providing functional & technical guidance and SME support
Demonstrated experience interfacing with internal and external teams to develop innovative data science solutions
Strong business analysis, product design, and product management skills
Deep expertise with data science enabling technology, such as Dataiku Data Science Studio, AWS SageMaker, or other data science platforms
Strong hands-on skills in analytics engineering and data science (e.g., Python, R, SQL, industrialized ETL software)
Experience working with various types of data (structured / unstructured)
Deep understanding of MLOps principles and tech stack (e.g. MLFlow)
Highly self-motivated to deliver both independently and with strong team collaboration
Ability to creatively take on new challenges and work outside comfort zone
Strong English communication skills (written & verbal)
PREFERRED QUALIFICATIONS
Advanced degree in Data Science, Computer Engineering, Computer Science, Information Systems or related discipline
Hands on experience working in Agile teams, processes, and practices
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 with Dataiku Data Science Studio
Ability to work non-traditional work hours interacting with global teams spanning across the different regions (eg: North America, Europe, Asia)
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Information & Business Tech#LI-PFEBreakthroughs that change patients’ lives
Research confirms what intuition tells us: that purpose-driven companies perform better, are more innovative, attract and retain the best people, and know how to unleash the power of those people. Pfizer’s purpose—Breakthroughs that change patients' lives—fuels everything we do and reflects our passion for building on our legacy as one of the greatest contributors of good to the world.
Each word in our purpose has meaning and reflects the value we strive to bring to patients and society:
“Breakthroughs” - These are the innovations, scientific and commercial, that we seek to deliver every day. All colleagues, regardless of role, level or location, strive for breakthroughs every day.
“Change” - We want to do more than simply improve patients’ medical conditions; we want to dramatically change their lives for the better.
“Patients’ lives” - We consider not only patients, but everyone they touch—including their families, caregivers, and friends—and everything they love to do. It’s an intentionally holistic view.
Our purpose ensures that patients remain at the center of all we do. We live our purpose by sourcing the best science in the world; partnering with others in the healthcare system to improve access to our medicines; using digital technologies to enhance our drug discovery and development, as well as patient outcomes; and leading the conversation to advocate for pro-innovation/pro-patient policies.
Every decision we make and every action we take is done with the patient in mind—and to nurture an environment where breakthroughs can thrive.
Our Values
To fully realize Pfizer’s purpose, we have established a clear set of expectations regarding “what” we need to achieve for patients and “how” we will go about achieving those goals.
The “how” is represented by four simple, powerful values—courage, excellence, equity, and joy—that define our company and our culture.
Courage: Breakthroughs start by challenging convention, especially in the face of uncertainty or adversity. This happens when we think big, speak up, and are decisive.
Excellence: We can only change patients’ lives when we perform at our best together. This happens when we focus on what matters, agree who does what, and measure our outcomes.
Equity: We believe that every person deserves to be seen, heard, and cared for. This happens when we are inclusive, act with integrity, and reduce healthcare disparities.
Joy: We give ourselves to our work, but it also gives to us. We find joy when we take pride, recognize one another, and have fun.
Pfizer Digital
Pfizer Digital takes immense pride in being at the forefront of innovation, harnessing cutting-edge smart technology that profoundly impacts the lives of our patients.
With the transformative potential of digital solutions, we revolutionize how we discover, develop, and deliver medicines, enabling us to achieve breakthroughs faster and more efficiently.
By streamlining and automating transactional processes, we create valuable time and resources, empowering our talented team to focus on meaningful work that truly makes a difference in healthcare and beyond.
Benefits at Pfizer
Pfizer offers competitive compensation and benefits programs designed to meet the diverse needs of our colleagues. Our Pay for Performance Philosophy and Practices reward colleagues based on the contributions they make to our business.
Our Competitive Benefits Programs help our colleagues by:
- Promoting Health and Wellness to help colleagues maintain and improve their physical and mental wellbeing. Pfizer offerings include health and disability insurance, preventative health programs, medical screenings, free or reduced-cost vaccinations, discounts on Pfizer products, mental health support, nutrition and fitness counseling and more.
- Strengthening Colleagues’ Financial Security by providing company contributions to retirement plans, life insurance and financial planning education to help colleagues achieve their financial goals.
- Providing Benefits and Time off for the Moments that Matter to ensure Pfizer colleagues have the time away from the office to recharge, recover and return to work as the best version of themselves. Vacation, Holiday time and Sick time are just the beginning, with a 12 week parental leave policy for both parents of a new born, 10 day of caregiver leave for those times when your family needs you whether it’s a child, spouse or parent, bereavement leave, and additional country-specific programs.
- And so much more, depending on your country and site, Pfizer offers childcare facilities or discount programs, on-site health and/or fitness centers, movement and mindfulness solutions, “Log in for your Day” work flexibility and so much more.
For U.S. based jobs, view an overview of Pfizer’s U.S. benefits program (opens in a new window)