Technical Product Manager

Technical Product ManagerWe are seeking an experienced Technical Product Manager with strong expertise in Data, AI/ML, and pharmaceutical industry solutions to lead the strategy, roadmap, and execution of data-driven and AI-enabled products. This role will work closely with R&D, Clinical, Regulatory, Commercial, and IT teams to build scalable solutions that accelerate drug development, enhance patient outcomes, and drive data-centric decision-making across the pharma value chain.Key ResponsibilitiesProduct Strategy & RoadmapDefine and execute product strategy for Data & AI platforms, aligning with pharma business goals across R&D, clinical trials, pharmacovigilance, regulatory affairs, and commercial operations.Develop a clear product roadmap driven by user needs, data insights, and emerging AI/ML opportunities.Identify high-value AI use cases including molecule discovery, clinical trial optimization, real-world evidence (RWE), and medical insights generation.Product Execution & DeliveryLead end-to-end product lifecycle—from concept, requirements, design, and development to launch and continuous improvement.Work closely with engineering, data science, and platform teams to deliver scalable data pipelines, ML models, and AI-enabled products.Create detailed product requirements (PRDs, user stories, acceptance criteria) and prioritize backlog effectively.Stakeholder ManagementCollaborate with cross-functional teams including clinical researchers, medical affairs, biostatisticians, regulatory, safety, and commercial functions.Drive alignment with business stakeholders and translate complex pharma problems into data & AI product solutions.Act as the bridge between technical and business teams.Technical ExpertiseStrong understanding of data engineering, analytics, AI/ML model development, MLOps, and cloud platforms (AWS/Azure/GCP).Knowledge of pharma-specific data types: clinical trial data, EDC, CDISC (SDTM/ADaM), RWE, safety data, EHR/EMR, and regulatory submission data.Familiarity with AI applications in drug discovery, clinical development, PV, and commercial insights.Compliance & QualityEnsure products adhere to regulatory standards—GxP, 21 CFR Part 11, GDPR, HIPAA, and data governance best practices.Maintain high standards of data integrity, security, and model explainability.QualificationsBachelor’s/Master’s in Computer Science, Data Science, Life Sciences, Engineering, or related field.6–12 years of experience in Product Management with a strong technical background.Proven experience building Data/AI products within pharma, biotech, or healthcare domains.Ability to translate complex scientific and technical concepts into user-centric product solutions.Strong communication, analytical thinking, decision-making, and stakeholder management skills.Preferred SkillsExperience with LLMs, GenAI, and AI-driven automation for pharma use cases.Knowledge of industry tools/platforms like Veeva, SAS, Databricks, Snowflake, Real-World Data sources, and AI model governance frameworks.Certification in Product Management, Agile, or cloud platforms (AWS/Azure/GCP).