Principal Data Science/AI Product Manager

Location: South San Francisco, CA (100% Onsite)
Duration: 06 months contract with possible extension
Payrate: $91.29/hour on W2

Job Summary

The Principal Data Science/AI Product Manager is responsible for driving the development and execution of cutting-edge AI/ML product features that empower customer engagement strategies and deliver transformative business impact. This role is central to advancing digital transformation by integrating AI/ML capabilities into key platforms, enabling proactive, intelligent decision-making and hyper-personalized customer experiences across Commercial, Medical, and Government Affairs (CMG).

In close collaboration with cross-functional teams, including data science, engineering, IT, and product leaders, the Principal Product Manager will shape the product vision and roadmap for AI/ML capabilities. They will translate user feedback and market trends into innovative AI-driven features that support smarter decision-making and automation. This role also involves building strong business cases for new AI investments, ensuring that solutions meet user needs and deliver measurable, scalable impact.

With a focus on user-centric design, ethical AI principles, and strategic foresight, the Principal Product Manager ensures that AI/ML capabilities become key enablers of integrated customer experience transformation and digital future.

Key Responsibilities

• Drive the overarching AI/ML product vision and strategy for AI products (classical ML and Gen AI), leading the innovation of intelligent, forward-looking features that support varying CMG use cases across the customer journey.
• Collaborate with cross-functional teams (e.g., Data Science, Informatics/IT, Commercial Strategy) and the Director, AI Product Owner to shape digital-forward product roadmaps and maintain a prioritized, stack-ranked product backlog.
• Develop and own comprehensive AI product roadmaps based on deep user research, market trends, business value, and advanced analytics insights-ensuring personalized, intelligent, and proactive user experiences.
• Collect and synthesize user feedback, real-world usage data, and market signals (including UAT and model performance metrics) to inform product requirements and continuously enhance AI capabilities.
• Support the ideation, development, and launch of AI/ML-driven features that power next-best actions, intelligent automation, and personalized recommendations- delivering measurable impact for business users and customers.
• Clearly communicate the value proposition and progress of AI/ML capabilities to internal stakeholders, ensuring alignment with user needs, enterprise priorities, and technical feasibility.
• Partner closely with the Director, AI Product Owner and Executive Director of AI Technical Delivery Team to lead the development of business cases for new and enhanced AI/ML product capabilities that embed AI into integrated customer experience model.
• Identify and capitalize on unspoken or emerging customer needs by embedding AI/ML capabilities into digital platforms-shaping strategy, influencing enterprise direction, and accelerating digital transformation.
• Manage external (US and offshore) consultants to ensure the delivery of high-quality, scalable, and ethical AI solutions that integrate seamlessly with enterprise systems and platforms.
• Orchestrate collaboration across CMG business functions, IT, and enterprise product teams to ensure integrated execution, responsible AI governance, and transformative outcomes at scale.
• Comply with all laws, regulations, and company policies that govern the conduct of activities.

Who You Are
Minimum Candidate Qualifications & Experience

• Bachelor's degree in business, data science, engineering, or a related field.
• 8 years of combined experience in product management, data science, AI, software development or equivalent experience.
• Demonstrated hands-on experience with modern or classical ML/AI techniques (e.g., Deep Learning, NLP, Generative AI) and proficiency in at least one industry-standard programming language (e.g., Python, R, Scala, SQL).
• Demonstrated experience writing detailed Product Requirements Documents (PRDs) and leveraging agile methodologies to drive AI/ML feature delivery, focusing on user needs and measurable business impact.
• Experience owning the entire Data Science / AI product lifecycle-from ideation and strategy to market execution and post-launch optimization-ensuring comprehensive governance and measurable business outcomes.
• Proven experience in setting and driving the AI/ML product vision and strategy at an enterprise level, with a focus on transformative digital initiatives.
• Demonstrated ability to engage, influence, and communicate with senior leaders and executive stakeholders.
• Experience managing complex, multi-unit product roadmaps and integrating AI/ML initiatives across various business segments.
• Solid background in leading high-impact experimentation efforts and using data-driven insights to continuously innovate product offerings.
• Demonstrated experience researching AI/ML industry trends and integrating insights into product strategy and roadmaps.
• Ability to write detailed, technical product specifications and present effectively to both technical and non-technical audiences.
• Strong understanding of agile methodologies such as Kanban and Scrum.
• Ability to innovate and foster experimentation to improve product capabilities.
• Robust knowledge of enterprise architectures and solutions (e.g., SaaS, PaaS, IaaS).
• Relevant certifications in product management, machine learning, data science, or related disciplines.

Additional Desired Candidate Qualifications & Experience

• Advanced degree (M.S., MBA, or related field) with specialization in AI, Data Science, or product management.
• Experience in healthcare, pharmaceutical, or other highly regulated industries.
• Demonstrated ability to mentor and coach cross-functional teams and to lead by example through a practice-based apprenticeship model.
• Subject matter expertise in product management, with a history of innovating and transforming digital product capabilities.
• Experience with tools and platforms used in citizen data science, automated analytics, and collaborative modeling environments.
• Familiarity with performance monitoring, platform scalability strategies, and cost optimization.
• Hands-on exposure to user research or design-thinking approaches to improve data tool usability and effectiveness.

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