Senior Data Science / AI Product Manager

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Job Summary:

Genentech is dedicated to improving patient outcomes through innovative solutions in healthcare. The Senior Data Science / AI Product Manager will shape and execute product roadmaps that integrate AI and machine learning, collaborating with cross-functional teams to drive product innovation and ensure successful delivery of features aligned with market needs.

Responsibilities:

• Collaborate with cross-functional teams (e.g., Data Science, Data, Informatics (IX)) and the Director, Analytical Workbench to lead the development of the Analytic Workbench product vision and roadmap in alignment with enterprise analytics strategy for capabilities such as a data science/AI workbench, analytics co-pilot(s), coding assessments, and visualization tools.

• Collect and analyze user feedback, market trends, and data insights (including User Acceptance Testing results) to inform product requirements and feature enhancements.

• Support the ideation, development, and launch of Analytical Workbench product features, such as data exploration, preparation, model training, model evaluation, model validation, visualization, collaboration tools, and deployment that address customer needs and drive business impact.

• Facilitate effective communication about product value propositions and progress with internal teams and customers, ensuring that products are aligned with market demands and technical feasibility.

• Contribute to the development and execution of AI/ML product roadmaps based on user feedback, research, and business impact, ensuring features are delivered on schedule.

• Identify opportunities to integrate AI/ML into existing Genentech platforms, addressing articulated customer needs in collaboration with technical teams.

• Serve as a primary point of contact for collecting business feedback and user enhancement requests, ensuring they are accurately translated into actionable requirements.

• Work closely with Technical Product Managers and other stakeholders to ensure effective handoff from product design to implementation and validate successful delivery against product objectives.

• Support the creation and refinement of business cases and key success metrics for the Analytical Workbench, aligning tactical initiatives with overall product objectives.

• Comply with all laws, regulations and policies that govern the conduct of Genentech activities.

Qualifications:

Required:

• Bachelor’s in Computer Science, Data Science, Engineering, or an equivalent technical field.

• 5 years of combined experience in product management, data science, AI, software development or equivalent experience.

• Demonstrated ability to manage tactical product initiatives from concept through delivery with clear feature planning and roadmap execution.

• Proven experience in aligning cross‑functional teams (e.g., engineering, UX, data teams) to meet defined product goals.

• Proven ability to work closely with customers and stakeholders to translate feedback into actionable product enhancements.

• Proficient in developing technical product specifications and managing user acceptance testing (UAT) processes.

• Experience leveraging market trends and user feedback to refine product components and deliver measurable business impact.

• 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.

Preferred:

• Advanced degree or equivalent experience (e.g., MBA or related graduate-level qualification).

• Proven record of driving cross‑functional initiatives that integrate AI/ML capabilities across different platforms.

• Exceptional communication, presentation, and stakeholder management skills.

• Experience in healthcare, pharmaceutical, or other highly regulated industries.

• Experience mentoring junior team members or leading small product initiatives.

• Advanced practical knowledge of agile frameworks with a track record of process optimization in product management.

• Demonstrated understanding of workflow tools, automation systems, and compliance frameworks.

Company:

Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, California, USA, with a team of 10001 employees. The company is currently Public Company. Genentech has a track record of offering H1B sponsorships.