VP, Data Science & Insights

Overview

Deep Intent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data. For more information visit,

Deep Intent is seeking a visionary Vice President of Data Science & Insights to lead our global data science organization and define the future of data innovation in healthcare advertising technology. In this role, the VP, Data Science & Insights will drive advanced modeling, optimization, and AI initiatives that enable healthcare marketers to connect patients, providers, and brands responsibly and effectively.

The VP, Data Science & Insights will oversee teams across the US, India and Europe, uniting data science, machine learning, and analytics under a common vision—delivering predictive, privacy-safe insights that power precision marketing and measurable outcomes.

• Partner with senior leadership to translate scientific advancements into scalable, compliant, and commercially impactful solutions.
• Visionary leader who balances scientific rigor with commercial strategy
• Develop and execute the global data science strategy that supports our mission to transform healthcare marketing through data and technology.
• Lead a distributed team of data scientists across the U.S., Europe, and India.
• Champion a culture of innovation, experimentation, and collaboration across global offices.

• Oversee team of 10 Data Scientists who build and optimize predictive and causal models that drive patient and provider targeting, audience segmentation, and campaign performance measurement ensuring accuracy in their work.
• Oversee the design of machine learning systems for real-time bidding, healthcare audience modeling, and privacy-first identity resolution.
• Integrate real-world data, claims data, and digital engagement signals into scalable ML pipelines.
• Ensure compliance with HIPAA, and other data privacy standards in all model development and deployment.

• Partner with engineering, product and data partnership teams to advance our global data infrastructure—supporting high-volume, multi-market processing and model deployment.
• Establish best practices in feature engineering, reproducible research, and MLOps to accelerate experimentation and ensure reliability.
• Partner with General Counsel to drive the adoption of responsible AI principles and ensure data science practices align with healthcare data ethics and patient privacy.

• Collaborate with Product, Engineering, Data Partnerships, and Commercial teams to design data-driven solutions that enhance targeting precision, optimize media performance, and improve client ROI.
• Act as a trusted advisor to executive leadership and clients—translating complex models into actionable insights and strategic opportunities.
• Partner with regulatory, compliance, and privacy teams to operationalize secure, compliant data usage globally.

• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 12+ years of experience in data science or machine learning roles, with 5+ years leading diverse, cross-functional, global teams.
• Visionary leader who balances scientific rigor with commercial strategy.
• Experience with customer facing roles with pharma brands and or intermediaries including consultancies, agencies etc.
• Proven success in adtech or healthcare data environments (e.g., pharma marketing, patient engagement, or health data analytics).
• Deep understanding of programmatic advertising, identity resolution, and healthcare data ecosystems (claims, EHR, RWD, HCP/patient data).
• Advanced expertise in Python, SQL, Spark, and modern ML frameworks (Tensor Flow, PyTorch, XGBoost).
• Strong foundation in statistics, causal inference, and advanced analytics for media effectiveness and attribution.
• Demonstrated success in building, mentoring, and scaling high-performing global data science teams.
• Visionary leader who balances scientific rigor with commercial strategy.
• Exceptional communicator who can bridge technical, business, and healthcare stakeholders.
• Experience with…