Principal Data Science/Ai Product Manager - Contract
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Overview
Remote
On-site
Compensation
$80-$87/hour
Job Description
Principal Data Science/AI Product Manager South San Francisco, CA 06+ Months Why Client We're passionate about delivering on Our Promise to improve the lives of patients and create healthier communities for all. We foster a culture of inclusivity, integrity and creativity while boldly pursuing answers to the world's most complex health challenges and transforming society. Who We Are
- Our Data, Analytics, and AI team is dedicated to solving complex healthcare challenges and improving patient outcomes. Data, Analytics, and AI empowers business partners across Commercial, Medical, and Government Affairs (CMG) to make impactful decisions by leveraging data, analytics, business products, and AI/ML to enable fast, targeted actions in rapidly evolving business contexts.
- Data, Analytics, and AI team members foster a unified understanding of customers, actions, and outcomes by integrating analytics and insights seamlessly into CMG's evolving digital, data, and automation platforms, creating scalable solutions and eliminating silos.
- In Data, Analytics, and AI, you will work as a trusted, objective advisor and expert, recommending critical decisions and actions to be taken with credibility and a focus on driving measurable impact. You will be part of a thriving culture built on collaboration and innovation.
- 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 insightsensuring 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 recommendationsdelivering 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 Genentech's integrated customer experience model.
- Identify and capitalize on unspoken or emerging customer needs by embedding AI/ML capabilities into digital platformsshaping strategy, influencing enterprise direction, and accelerating Genentech'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 Genentech activities.
- 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 lifecyclefrom ideation and strategy to market execution and postlaunch optimizationensuring 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, multiunit product roadmaps and integrating AI/ML initiatives across various business segments.
- Solid background in leading highimpact experimentation efforts and using datadriven 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 nontechnical 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 crossfunctional 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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FAQs About Principal Data Science/Ai Product Manager - Contract Jobs at TalentBurst, Inc.
What is the work location for this position at TalentBurst, Inc.?
This job at TalentBurst, Inc. is located in South San Francisco, CA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at TalentBurst, Inc.?
Candidates can expect a pay range of $80–$87.46 per hour for this role.
What employment applies to this position at TalentBurst, Inc.?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at TalentBurst, Inc.?
You can apply for this role at TalentBurst, Inc. either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.