Director, Product Management, Data Science (AdTech/Programmatic)
New
Based in the United StatesFull-TimeDirector
Salary$200,000–$205,000
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Job Details
- Experience
- 8+ years
- Required Skills
- Machine LearningProduct ManagementStrategyData science
Requirements
- 8+ years of Product Management experience leading complex platform, AI, machine learning, data infrastructure, or enterprise software products.
- Strong expertise in AdTech, including programmatic advertising, real-time bidding, optimization algorithms, audience targeting, identity resolution, or digital advertising platforms.
- Deep understanding of machine learning workflows, predictive modeling, model evaluation, experimentation frameworks, and AI-driven product development.
- Experience managing third-party data integrations, commercial partnerships, and vendor relationships.
- Proven leadership experience managing Product Managers within cross-functional, fast-paced technology organizations.
- Strong executive communication, strategic thinking, stakeholder management, and commercial product development skills.
- Experience translating advanced technical capabilities into customer-focused products that drive measurable business outcomes.
- Preferred experience within healthcare, pharmaceutical advertising, B2B SaaS, or data-intensive industries.
- Familiarity with identity technologies, healthcare data standards, privacy regulations, or clinical data environments is highly desirable.
Responsibilities
- Define and execute the product strategy for AI, machine learning, optimization, and data science platforms supporting programmatic advertising solutions.
- Lead multiple product management teams responsible for optimization engines, audience targeting, identity infrastructure, data partnerships, campaign forecasting, and AI-driven capabilities.
- Drive the evolution of real-time bidding, optimization models, scoring frameworks, A/B testing methodologies, and performance analytics platforms.
- Evaluate emerging AI technologies and data science innovations, transforming research into scalable commercial products.
- Oversee third-party data partnerships, vendor evaluations, integration strategies, and commercial relationships to strengthen product capabilities.
- Direct modernization of identity resolution infrastructure, audience targeting technologies, taxonomy frameworks, and healthcare data integrations.
- Collaborate closely with engineering, data science, sales, go-to-market, and executive leadership teams to align technical innovation with business objectives.
- Represent product strategy with senior executives, customers, and industry stakeholders while translating complex technical concepts into compelling business value.
- Mentor, develop, and grow a high-performing team of Product Managers across multiple strategic product streams.
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