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Principal Data Science/AI Product Manager - ROCGJP00042846

Triune Infomatics
  • South San Francisco, CA
  • Quick Apply
13 days ago

Job Description

Role: Principal Data Science/AI Product Manager
Location: Sount San Francisco, CA (3 days onsite/week)
Duration: 6+ months


Summary:The Principal Data Science/AI Product Manager at Client drives the strategy, development, and execution of AI/ML product capabilities that enhance customer engagement across Commercial, Medical, and Government Affairs. The role partners with data science, engineering, IT, and product teams to define roadmaps, translate user and market needs into AI-driven solutions, build business cases, and deliver scalable, measurable impact through user-centric and ethical AI.

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 Client's 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 Client's 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 Client activities.

Minimum 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 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.

Numbers & Facts

LocationSouth San Francisco, CA

Skills

  • Acceptance Testingunmatched
  • Agile Programming Methodologiesunmatched
  • Artificial Intelligence (AI)unmatched
  • Automationunmatched
  • Biotech and Pharmaceuticalunmatched
  • Business Administrationunmatched
  • Business Caseunmatched
  • Business Developmentunmatched
  • Coachingunmatched
  • Communication Skillsunmatched
  • Corporate Policiesunmatched
  • Cross-Functionalunmatched
  • Customer Experienceunmatched
  • Customer/Client Researchunmatched
  • Data Scienceunmatched
  • Deep Learningunmatched
  • Enterprise Architectureunmatched
  • Establish Prioritiesunmatched
  • Governmentunmatched
  • Healthcareunmatched
  • Industry Standardsunmatched
  • Industry/Trade Analysisunmatched
  • Informaticsunmatched
  • Information Technology & Information Systemsunmatched
  • Infrastructure as a Service (IaaS)unmatched
  • Kanbanunmatched
  • Machine Learningunmatched
  • Market Trend Analysisunmatched
  • Mentoringunmatched
  • Natural Language Processing (NLP)unmatched
  • Performance Analysisunmatched
  • Performance Metricsunmatched
  • Performance Modelingunmatched
  • Platform as a Service (PaaS)unmatched
  • Product Backlogunmatched
  • Product Lifecycleunmatched
  • Product Managementunmatched
  • Product Planningunmatched
  • Product Requirements Document (PRD)unmatched
  • Product Strategyunmatched
  • Programming Languagesunmatched
  • Python Programming/Scripting Languageunmatched
  • R Programming Languageunmatched
  • Regulationsunmatched
  • SQL (Structured Query Language)unmatched
  • Scala Programming Languageunmatched
  • Scrum Project Management and Software Developmentunmatched
  • Software Developmentunmatched
  • Software as a Service (SaaS)unmatched
  • Team Playerunmatched
  • Technical Deliveryunmatched
  • Track Customer Issuesunmatched
  • Usability Engineeringunmatched
  • Use Casesunmatched
  • User Interface/Experience (UI/UX)unmatched
  • Writing Skillsunmatched

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