Tech Program Manager Primary Market Research

Primary Market Research (PMR) Technology Program Manager New Jersey — Hybrid (may require occasional/Fortnightly travel) Key Responsibilities 1. PMR Technology Program Leadership

• Own the end-to-end technology program for an enterprise Primary Market Research Intelligence platform.
• Lead program planning across discovery, solution design, implementation, testing, deployment, adoption, hypercare, and steady-state operations.
• Establish program governance, milestones, dependencies, RAID management, KPIs, status reporting, and executive communications.
• Coordinate cross-functional teams spanning PMR, MI/CI, commercial operations, technology, data, AI, security, vendors, and implementation partners.
• Manage multiple work streams and ensure alignment across business and technology stakeholders.
• Develop and maintain the program roadmap, release plans, resource plans, and delivery priorities.

• Serve as a subject-matter-informed technology leader with a strong understanding of the pharmaceutical PMR lifecycle:
• Understand how pharmaceutical organizations commission, manage, analyze, and socialize qualitative and quantitative primary research.
• Partner with PMR teams to identify process inefficiencies, data fragmentation, knowledge gaps, and opportunities for automation.
• Understand common PMR methodologies including ATU studies, HCP/HCP segment research, patient research, KOL research, concept testing, message testing, segmentation, conjoint, surveys, interviews, focus groups, and other qualitative/quantitative approaches.
• Translate PMR business requirements into technology capabilities and user experiences.
• Apply experience in Market Intelligence (MI) and Competitive Intelligence (CI) to complement PMR insights.
• Understand how primary research can be combined with secondary research, competitive intelligence, market intelligence, and other commercial data sources.
• Support capabilities that connect studies, brands, therapeutic areas, competitors, vendors, research questions, findings, and market events.
• Identify opportunities to leverage PMR and MICI intelligence for brand strategy, forecasting, launch planning, competitive assessment, customer strategy, and commercial decision-making.
• Lead implementation of an AI-powered PMR intelligence platform that transforms fragmented research assets into a centralized, searchable knowledge capability.
• Drive adoption of AI capabilities including:
• Natural-language search and Q&A
• AI-powered research synthesis
• Cross-study analysis
• Temporal/wave-over-wave analysis
• Automated metadata generation
• Taxonomy and classification
• Knowledge graphs
• Automated insight extraction
• Research summarization and socialization
• Partner with AI/data engineering teams to ensure AI outputs are cited, traceable, explainable, and governed.
• Help define appropriate use cases for AI agents across the PMR lifecycle.
• Evaluate emerging AI capabilities and determine their applicability to PMR, MI, and CI workflows.

• Oversee ingestion of PMR assets from multiple sources, including SharePoint, Teams, research vendors, file repositories, and other enterprise systems.
• Ensure support for multimodal research assets including PowerPoint, Excel, Word, PDF, audio, video, charts, images, and raw research data.
• Define requirements for metadata, taxonomy, ontology, search, classification, and information architecture.
• Ensure research content can be connected across therapeutic area, brand, indication, vendor, methodology, geography, date, study, and research question.
• Support development of a centralized system of record / intelligence layer for PMR.

• Act as the primary bridge between PMR business stakeholders and…