Top Tech Jobs & Startup Jobs in Boston, MA

Administers and maintains Pfizer’s validated PharmSci Learning Management System, including learning activities, curricula, learner records, training documentation, reports, data integrity, risk assessments, and compliance processes. Partners with stakeholders on training implementation plans, resolves system issues, quality-checks LMS changes, supports procedures and metrics, manages priorities and budget stewardship, and identifies opportunities to streamline or automate training operations.

Lead strategy, design, delivery, and lifecycle management for Pfizer’s global clinical supply chain systems. Develop 3-to-5-year product-area strategies, guide solution design, coordinate process improvements, manage stakeholders and service providers, and align investments across product portfolios. Ensure regulatory compliance, business readiness, system modernization, and operational efficiency while reporting metrics and recommendations to senior leadership.

Supports Pfizer CentreOne’s inside sales and marketing activities by reviewing and routing marketing-qualified leads, executing outreach sequences, documenting activity in Salesforce, and assisting with campaigns, content, meetings, reporting, and marketing projects. The role develops commercial expertise across marketing, inside sales, and business development while progressing leads toward initial meetings and BD handoff.

Leads AI transformation, governance, quality oversight, risk management, and responsible adoption across Pfizer Global Supply and QSEO. Establishes GxP-compliant AI lifecycle practices, inspection-readiness frameworks, governance forums, portfolio monitoring, inventory management, metrics, and reporting. Advises senior leaders on AI regulations, deployment risks, investment priorities, and compliance while leading cross-functional initiatives and influencing stakeholders across Quality, Digital, Operations, and R&D.

Owns Pfizer GH&B’s AI-ready Snowflake data warehouse, data architecture, ontologies, governance, quality, lineage, access controls, and production reliability. The role supports AI/ML models, dashboards, and business-critical data applications; establishes testing, release, monitoring, and incident processes; directs contingent technical resources; and aligns business-specific data decisions with enterprise standards. Requires strong SQL, Python, Collibra, data warehousing, unstructured-data architecture, ontology, governance, and stakeholder-influence experience.