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Joseph Sopko

@josephsopko

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I build governed healthcare data products that improve commercialization decisions and AI readiness.

United States

Message

What I'm looking for

I'm looking to lead enterprise data strategy, governance, data products, and AI-ready foundations for healthcare or commercial organizations, partnering with executives and cross-functional teams to deliver measurable business value.

At XPLOR, I lead enterprise data strategy, analytics enablement, governance, trusted data products, and AI-ready foundations across customer, revenue, pricing, product, transaction, and operating data.

I've delivered $10M+ in measurable business value, improved model and forecast quality by approximately 30%, and reduced rework through reusable data products, automation, and stronger quality controls.

Across PHD/RAPP, Real Chemistry, Cardinal Path, and Critical Mass/ZAAZ, I built data strategy, analytics, measurement, and commercialization capabilities for healthcare, pharmaceutical, consumer, and enterprise organizations. My work has supported clients including Pfizer, Novartis, AbbVie, Amgen, AstraZeneca, Biogen, Takeda, and Novo Nordisk.

I bring together commercial, technology, analytics, privacy, and executive teams to turn complex claims, patient, HCP, payer, CRM, digital, and real-world data into governed, reusable decision products.

Experience

Work history, roles, and key accomplishments

Current

Sr. Director, Analytics

Current

XPLOR

Jan 2024 - Present (2 years 8 months)

Senior data and AI leader responsible for enterprise data strategy, analytics enablement, governance, trusted data products, and AI-ready data foundations. Delivered $10M+ in measurable business value and improved model and forecast quality by approximately 30%.

Snowflake Databricks SQL Python Data Governance Data Quality Data Lineage AI Readiness Analytics and Automation Semantic layer

Group Director, Data Strategy, Analytics & Decision Science

PHD / RAPP — Omnicom Group

Jan 2021 - Dec 2024 (3 years 11 months)

Led data strategy, advanced analytics, measurement, and AI-ready data programs for pharmaceutical, healthcare, consumer, and enterprise organizations. Guided teams of more than 50 and built commercialization data strategies across claims, payer, provider, patient, HCP, CRM, IQVIA, Crossix, digital, engagement, commercial, and real-world data.

Data Strategy advanced analytics Measurement AI Readiness Data Governance Data Products IQVIA Crossix Healthcare Claims Data RWD CRM Segmentation Forecasting

Group Director, Healthcare Data Strategy, Analytics & AI

W2O Group / Real Chemistry

Jan 2018 - Dec 2021 (3 years 11 months)

Built and led healthcare and life-sciences data strategy, analytics, AI, measurement, and data-product programs across complex regulated-data environments. Improved targeting, engagement, and conversion performance by 15–20% through stronger data foundations, segmentation, business rules, predictive analytics, testing, and measurement.

Healthcare Data Life Sciences Data Strategy Analytics AI Data Governance Healthcare Claims Data RWD RWE Patient Data HCP Data Payer Data CRM Predictive Analytics Segmentation

Director, Data Strategy & Enterprise Analytics

Cardinal Path

Jan 2015 - Dec 2018 (3 years 11 months)

Led enterprise data strategy, analytics, BI, data integration, and decision-support programs across healthcare, financial services, retail, technology, and digital commerce. Reduced enterprise reporting cycles by as much as 60% through automation, governed data models, shared measures, stronger source integration, and reusable reporting layers.

Data Strategy Enterprise Analytics BIツール Data Integration Python SQL Cloud Platforms APIs Data Governance Data Pipelines Data Marts Semantic layer Dashboarding Forecasting

Director, Enterprise Analytics & Data Strategy

Critical Mass / ZAAZ

Jan 2005 - Dec 2015 (10 years 11 months)

Led analytics strategy, data integration, measurement, customer intelligence, and data-product programs for large global organizations. Improved customer and campaign outcomes by 35%+ through stronger measurement, targeting, segmentation, modeling, data integration, and optimization.