Product Manager – Pharma & GenAI Platforms at Chryselys
Location: Chennai
Department: Product & Platforms
Job Type: Full-time
Reports To: Head of Product & Platforms
About Us
Chryselys is a Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.
We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
Who We Are
People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.
Quality - Our goal is to deliver the value of a big five consulting company without the big five cost.
Technology - Our solutions are Business centric built on cloud native technologies.
Role Overview
As a Product Manager – Pharma & GenAI Platforms at Chryselys, you will drive the end-to-end product lifecycle for cloud-native, AI-driven platforms in the pharma and life sciences domain. You will work closely with engineering, data science, medical affairs, and commercial teams to translate strategic business objectives into scalable, differentiated product solutions.
Key Responsibilities
Product Leadership
Own the end-to-end product lifecycle from discovery to launch across pharma/life sciences use cases.
Translate unmet market and brand needs into differentiated, scalable, and user-centric product solutions.
Prioritize features across platform modules by aligning commercial, medical, and data science needs.
Partner with commercial, brand, and medical teams to translate PMR and CI into actionable product features.
Technical & Platform Strategy
Drive architectural discussions and product decisions around AWS cloud infrastructure, including Glue, Athena, Data Lake, S3, Lambda, and Step Functions.
Collaborate with engineering to ensure CI/CD pipelines, Docker, Kubernetes, and ML Ops practices are integrated for faster product iterations.
Enable delivery of GenAI capabilities in the platform — from document intelligence, medical NLP, summarization to insight generation.
Data & AI Productization
Lead data strategy for ingesting, cleaning, and transforming EMR, Claims, HCP/HCO, and RWD data using PySpark, SQL, and data pipelines.
Build roadmap around ML/GenAI-driven use cases: e.g., treatment pathway prediction, KOL segmentation, site recommendation, competitive tracking.
Collaborate with data scientists to deploy models in production using APIs and cloud-native services.
Market & Domain Expertise
Leverage deep knowledge of pharma workflows (Medical Affairs, Market Access, Clinical Dev, Commercial Ops).
Map out patient journeys, treatment landscapes, and brand objectives into platform features.
Convert PMR data and CI signals into competitive positioning and product differentiation.
What You Bring
Prior experience building SaaS or platform products in regulated industries.
Knowledge of data privacy, HIPAA, and compliance frameworks.
Preferred Qualifications
6–8 years of experience in product management or technical product ownership.
Strong experience in pharma or life sciences industry — ideally in commercial, medical, or clinical tech products.
Proven hands-on experience with AWS cloud architecture, especially Glue, Athena, Data Lake, Step Functions.
Proficient in Python, SQL, PySpark, and working knowledge of ML modeling & GenAI frameworks (Lang Chain, OpenAI, Hugging Face, etc.).
Strong understanding of data engineering concepts — ingestion, normalization, feature engineering, and ML pipeline orchestration.
Familiarity with primary market research methodologies, CI tools, and brand strategy in pharma.
How To Apply
Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career/
Please include your resume and a cover letter detailing why you’re the perfect fit for this role.
Equal Employment Opportunity
Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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