Mar 2026 – Present · 2 mos · Remote

• Own and drive enterprise data strategy and AI enablement supporting Pfizer’s $64B global commercial portfolio, leading cross-functional teams of senior managers, domain leads, and engineers responsible for building AI-ready data platforms, enterprise data products, and advanced analytics capabilities across multiple therapeutic areas.
• Architect scalable data platforms and reusable data products that power machine learning, advanced analytics, and commercial decision intelligence used by global marketing, field force, forecasting, and performance analytics teams.
• Key Responsibilities & Impact
• Enterprise AI & Data Strategy: Define and operationalize cross-domain data strategies enabling AI, machine learning, forecasting, targeting, and commercial decision intelligence across therapeutic areas.
• AI-Ready Data Platforms: Partner with Digital and engineering leaders to architect scalable data layers and enterprise data products supporting predictive analytics and AI-driven insights.
• Commercial Analytics Transformation: Collaborate with Data Science, Performance Analytics, and Integrated Insights teams to modernize the commercial analytics ecosystem and accelerate enterprise insight generation.
• Data Governance & Operating Model: Establish data product frameworks, governance standards, and stewardship practices that improve data quality, reduce duplication, and increase analytics velocity.
• Leadership & Capability Development: Lead high-performing teams while overseeing a multi-million-dollar analytics delivery budget and strategic external partners supporting enterprise initiatives.
• Business Impact: Enable data-driven commercial planning, performance management, and brand strategy by aligning enterprise data infrastructure with Pfizer’s commercial priorities.

Jun 2025 – Mar 2026 · 9 mos · Remote

• Lead enterprise data and AI-enablement strategy supporting Pfizer’s $64B global commercial portfolio, driving the transformation of how commercial teams access, trust, and activate data across marketing, field force, performance analytics, and forecasting functions.
• Direct cross-functional teams of data domain leads and engineers responsible for designing AI-ready data platforms and reusable data products that power advanced analytics, predictive modeling, and emerging generative AI applications across therapeutic areas.
• Partner closely with Pfizer Digital, Data Science, and Integrated Insights leadership to modernize the commercial analytics ecosystem and accelerate Pfizer’s transition to a data-as-a-product operating model.
• Key Impact
• Enterprise Data & AI Strategy: Architected cross-domain data strategies enabling scalable analytics and AI-driven decision intelligence across global commercial operations.
• AI-Ready Data Platforms: Led development of modern, reusable data layers supporting predictive analytics, segmentation, targeting, forecasting, and marketing optimization.
• Commercial Analytics Transformation: Delivered strategic initiatives including Forecasting Modernization, always-on insight platforms, and automated marketing ROI capabilities.
• Data Governance & Trust: Implemented governance frameworks, vendor rationalization strategies, and data stewardship models that improved data quality, transparency, and enterprise scalability.
• Leadership & Capability Development: Built and mentored high-performing teams while aligning engineering, analytics, and business stakeholders around enterprise data priorities.
• Impact: Established the scalable data foundations necessary to support enterprise AI deployment and next-generation commercial analytics across Pfizer’s global portfolio.

Mar 2025 – Jun 2025 · 3 mos · Remote

• Lead the development and delivery of AI-powered products across Pfizer’s global business units, partnering with enterprise AI, engineering, and product leadership to translate emerging technologies into scalable solutions that drive measurable business impact.
• Collaborate with cross-functional teams of data scientists, engineers, and product managers to design and deploy generative AI, machine learning, and multimodal AI solutions aligned to Pfizer’s strategic priorities. Focused on transforming complex business challenges into scalable AI products that enhance decision-making, automation, and operational efficiency.
• Key Impact
• AI Product Innovation: Designed and delivered enterprise AI and generative AI solutions that integrate advanced machine learning, multimodal AI, and modern software engineering patterns.
• Cross-Functional Product Development: Partnered with enterprise AI teams, product managers, data scientists, and technical leaders to translate business needs into scalable AI-driven product capabilities.
• Strategic AI Workstreams: Led initiatives that apply AI/ML to complex business problems, enabling automation, predictive insights, and improved operational performance.
• Advanced AI/ML Engineering: Applied cutting-edge machine learning techniques and hybrid engineering architectures to build reusable AI solution patterns and production-ready applications.
• AI Research & Capability Development: Evaluated emerging algorithms, tools, and frameworks to create reusable assets and accelerate the adoption of AI technologies across the enterprise.
• Impact: Enabled Pfizer teams to operationalize emerging AI technologies by translating innovation into scalable, production-ready AI products that support enterprise transformation.

Dec 2023 – Jun 2025 · 1 yr 6 mos · Remote

• Led analytics data engineering team delivering enterprise data products supporting Pfizer’s $64B global commercial portfolio and $700M+ annual U.S. media investment.
• Transformed complex commercial data into production-ready assets powering predictive analytics, marketing optimization, and commercial performance reporting across marketing and field force operations. Partnered with Data Science, Integrated Insights, and commercial leadership to modernize analytics infrastructure and accelerate enterprise decision-making.
• Key Impact
• Delivered quarterly Marketing ROI (MROI) analysis across 20+ brands, guiding allocation of $700M+ in U.S. media spend and improving marketing effectiveness.
• Led delivery of Pfizer’s MROI data pipeline in 12 months, creating the first reusable commercial analytics data asset supporting Finance, Sales, and Media domains.
• Improved media budget allocation across Pfizer’s U.S. portfolio, driving measurable topline impact through data-driven marketing decisions.
• Expanded brand data coverage, reduced pipeline refresh times, improved monitoring and data quality, and transitioned key data operations from external vendors to internal teams.
• Delivered and automated the PAXcelerator platform for Paxlovid, integrating signals across claims, payer, CDC, wastewater, media, supply, CRM, and sales data to guide dynamic marketing and field strategies during COVID surges.
• Impact: Established foundational commercial data pipelines enabling scalable marketing intelligence and advanced analytics across Pfizer’s commercial ecosystem.