Top Tech Jobs & Startup Jobs in NYC, NY

Runs enterprise AI platform adoption pilots from recruitment through measurement and closeout, then supports launches, training, communities, campaigns, and sustained usage. Produces colleague-facing content, tracks adoption metrics, manages cohorts, gathers feedback, identifies engagement drop-offs, and recommends improvements across multiple concurrent workstreams. The role supports Pfizer colleagues across business units and requires collaboration with product, communications, analytics, training, and community teams.

Owns the enterprise evaluation, governance, industrialization, lifecycle, and rationalization of engineering and AI developer tools. Leads evidence-based intake decisions, maintains the tooling portfolio, guides successful pilots into supported capabilities, and oversees adoption and value realization. Partners with engineering, product, security, compliance, operations, guilds, and vendors across a matrixed organization. The role is hybrid, requires cross-time-zone collaboration, and involves 20–25% travel.

Oversee programmatic media planning, buying, campaign setup, QA, optimization, budget pacing, KPI monitoring, creative testing, and platform maintenance across consumer and healthcare professional campaigns. Collaborate with programmatic managers, supply specialists, traders, agencies, and brand teams. Maintain automation and LLM tools, manage brand safety settings, monitor industry trends, and identify partnership opportunities.

Build and deploy production-grade AI and machine learning systems supporting biomedical research and drug discovery. Own technical solutions from architecture through deployment, including data pipelines, retrieval systems, knowledge systems, inference services, evaluation frameworks, and human-in-the-loop workflows. Partner with scientists and engineers to transform prototypes into scalable, secure, reliable platforms. Lead technical delivery, make architecture tradeoffs, improve engineering standards, mentor teammates, and promote responsible AI practices.

Build and deploy production-grade AI and machine learning systems supporting biomedical research, including multimodal models, intelligent agents, retrieval, knowledge systems, evaluation frameworks, and inference services. Own architecture through production, make scalability and reliability tradeoffs, establish responsible AI practices, and drive technical delivery. Collaborate with scientists, computational biologists, and platform teams while mentoring engineers and improving engineering standards, observability, and system performance.

Leads chargeback, pricing, and gross-to-net analytics for Pfizer’s U.S. hospital injectable and biosimilar portfolio. The role models contracting, rebate, government pricing, and commercial impacts on revenue, margins, and profitability; supports forecasting, accruals, reconciliations, and financial reporting; manages pricing data repositories; and advances automation, dashboards, and AI-enabled analytics. Partners extensively with Commercial, Finance, Controllership, Government Pricing, and Accounting while ensuring compliance with accounting and pricing governance requirements.

Leads learning measurement and impact strategy across Pfizer’s commercial learning portfolio. Defines evaluation standards, metrics, and success measures; oversees behavior- and business-level studies; validates relationships between learning, competency, and business outcomes; presents evidence and recommendations to senior leaders; and builds the organization’s measurement practice and analytical capabilities.

Develop and evaluate advanced machine learning methods for biomedical, clinical, molecular, and scientific data. Build foundation models, multimodal and graph-based systems, generative methods, and agentic reasoning tools. Design rigorous experiments, benchmarks, and validation frameworks; assess robustness, uncertainty, interpretability, and scientific utility. Collaborate with researchers, engineers, computational biologists, and domain experts to translate research into reusable capabilities supporting drug discovery and development.

Leads AI and enterprise technology delivery for Pfizer Patient Services, overseeing CRM, case management, digital engagement, data integration, projects, releases, budgets, vendors, governance, and operational support. Develops technology roadmaps and business cases, partners with senior stakeholders, manages complex portfolios, and leads product owners, system managers, and analysts. Drives platform innovation, cybersecurity, compliance, process improvement, and team development across a regulated healthcare environment.

Leads complex commercial analytics and AI transformation initiatives from business case through delivery, deployment, and adoption. Responsibilities include program planning, roadmap development, risk and dependency management, executive communication, KPI/OKR tracking, change management, and cross-functional coordination across commercial, analytics, data science, technology, and vendor teams. The role translates business needs into actionable programs and ensures measurable outcomes within Pfizer’s Global Commercial Analytics and Chief Marketing Office portfolio.