Product Manager - Biopharma

HCLTech; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

A leading technology firm is seeking an experienced AI Product Manager for Biopharma to drive product strategy and execution. This role requires expertise in life sciences, with a background in managing the entire product lifecycle from ideation through to commercialization. The ideal candidate will have over 10 years of experience in product management within the pharmaceutical and biotechnology sectors, as well as a strong track record of launching regulated products globally. The position is full-time and located in New Jersey.

Qualifications

• 10+ years of experience in product management within life sciences.
• Demonstrated experience in launching B2B SaaS in regulated environments.
• Strong understanding of clinical trial processes and regulatory compliance.

Responsibilities

• Lead product lifecycle management from ideation to commercialization.
• Define product vision and strategy for Biopharma offerings.
• Collaborate with stakeholders to refine product features and ensure compliance.

Skills

Product management in life sciences

Stakeholder management

Agile development

Market research

Education

Bachelor’s degree in Life Sciences

Advanced degree (MS, PhD, or MBA)

Tools

JIRA

Aha!

Confluence

Figma

Job description

We are HCLTech, one of the fastest-growing large tech companies in the world and home to 219,000+ people across 54 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering and Cloud.

The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be.

Job Title: AI Product Manager – Biopharma

Location: [US – New Jersey]

Employment Type: Full-time

Department: Product Management / Life Sciences Solutions

📝 Job Summary:

We are seeking a dynamic and experienced AI Product Manager – Biopharma to lead the strategy, planning, and execution of innovative products that serve the pharmaceutical, biotechnology. This individual will drive product lifecycle management from ideation to commercialization, ensuring the delivery of compliant, high-impact solutions that support R&D, clinical development, regulatory, and post-market needs. Candidates should bring strong techno-functional expertise, digital product acumen, and the ability to bridge scientific insight with commercial value.

• Define and own the product vision, strategy, and roadmap for Biopharma offerings (drug development, clinical trials, regulatory, pharmacovigilance, commercial)
• Conduct market research, customer interviews, and competitive analysis to inform feature prioritization and differentiation.

2. Product Lifecycle Management

• Manage the full product lifecycle from ideation, MVP development, pilot testing, global rollout, to post-market updates and sunsetting.
• Lead cross-functional teams through Agile development cycles to deliver high-quality, timely product releases.

3. Stakeholder Collaboration

• Act as the key interface between engineering, scientific SMEs, marketing, regulatory affairs, and sales.
• Collaborate with external partners, CROs, regulatory bodies, and key opinion leaders to refine product features and ensure compliance.
• Drive the integration of emerging technologies such as Gen AI, NLP, RWD/RWE platforms, and cloud-based systems into life sciences workflows.
• Partner with AI/ML teams to conceptualize smart, compliant features for medical content generation, adverse event detection, clinical data analysis, and signal management.

5. Go-to-Market & Commercialization

• Develop product launch plans, including value propositions, pricing, positioning, and user training.
• Support pre-sales and customer success teams with product demos, documentation, and RFP responses.

📋 Required Qualifications:

Education:

• Bachelor’s degree in Life Sciences (Pharmacy, Biology, Biotechnology, or equivalent).
• Advanced degree (MS, PhD, or MBA) is a plus.

Experience:

• 10+ years of experience in product management within the life sciences, pharmaceutical, biotechnology, or medical devices industry.
• Demonstrated experience launching B2B SaaS, clinical, regulatory, or pharmacovigilance, payers and providers products in regulated environments.
• Prior involvement in global product rollouts across multiple markets.

Domain Expertise:

• Strong understanding of clinical trial processes, drug safety, regulatory compliance (GxP, FDA, EMA, ISO 13485), and R&D lifecycle.
• Experience with HealthTech, MedTech, Genomics, or Real World Evidence (RWE) is highly desirable.

Technical & Tools:

• Familiarity with AI/ML applications in life sciences is a strong advantage.
• Developed AI based products and solutions, expertise in Gen AI and agentic AI
• Proficiency with product management tools (JIRA, Aha!, Confluence), wireframing (Figma, Balsamiq), and analytics dashboards.
• Experience working with cloud (GCP, AWS, Azure), API integrations, and GxP-compliant systems.

✅ Preferred Competencies:

• Strategic thinking with strong analytical and decision-making skills.
• Excellent communication, storytelling, and stakeholder management abilities.
• Strong organizational skills and a results-oriented mindset.
• Comfortable navigating ambiguity in highly regulated industries.
• Experience working with global teams across time zones.
• Time-to-market for new product/features.
• Product adoption and customer satisfaction (NPS, CSAT).
• Revenue growth and market share contribution.
• Compliance and regulatory approval success rates.

Equality & Opportunity for All

Representing 165 nationalities across the globe, we pride ourselves on being an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law.