Product Manager II - Life Sciences AI

Your Impact

You will own the strategy, execution, and delivery of one or more products in the asset portfolio. Working with your leaders, you will shape product strategy, define product roadmaps, interview end users, and guide teams in delivering and launching meaningful, user-centric advanced analytics and agentic solutions. Working with a cross-functional team of domain experts and technical colleagues, you’ll tackle delivery obstacles, prioritize high-value features, and foster innovation to address client and business objectives. You will collaborate with cross-functional teams (e.g. AI engineers, data scientists, data engineers) to ensure product success.

By leading user discovery sessions, you will build empathy and understanding within the team to align product development with user needs. You will identify and address delivery barriers, manage dependencies, and negotiate with stakeholders to maximize value within tight timelines and budgets. Your leadership will ensure the delivery of high-quality, user-focused products.

You will be working in one of our North American offices in our Life Sciences practice. You will help revolutionize how Pharma and MedTech companies connect with their customers to improve human lives. You will be working in a team that is fully integrated with QuantumBlack, AI by McKinsey. Your contributions will help solve complex challenges for clients and colleagues.

You will partner with subject matter experts, engineers, and designers to align product development with industry needs and client goals. Your work will shape software solutions that enhance usability, quality, and predictability, driving lasting impact for internal and external stakeholders. You will lead the creation of innovative advanced analytics and agentic capabilities that deliver value to clients and drive meaningful outcomes.

Qualifications and Skills

• Undergraduate degree in Computer Science, Business, Engineering or related degree
• 7+ years of relevant experience that demonstrates end-to-end complex problem solving from ideation to post-launch through product/technology development
• Experience with building enterprise facing products that are adopted by enterprise users, enabling business capability and objectives through technology
• Prior experience building AI products specifically with exposure to Agentic AI solutions and AI-enabled software ecosystems
• Experience in Life Sciences or Commercial domain will be a plus
• Ability to partner with engineering to shape functional requirements, address technical debt, and ensure readiness for release
• Knowledge and understanding of technical engineering best practices (e.g. DevSecOps, specs-driven development, agentic PDLC, testing practices continuous integration, etc.)
• Experience running complex problem and user discovery, competitive analysis, and shaping a product's value proposition
• Proficient with roadmaps, drawing storyboards, creating wireframes, creating/grooming product backlogs, writing user stories and developing acceptance criteria
• Proficient in stakeholder management, story-lining presentations and evaluating role and experience managing multiple leadership requirements in ambiguous situations
• Excellent analytical skills and data driven approach to constantly analyze user feedback and analytics reports
• Willingness to travel and co-locate depending on product and initiative needs
• Strong communication skills, both verbal and written, with the ability to adjust your style to suit different perspectives, seniority levels, and levels of technical expertise