Senior Director, Product - Data Platform
New
United StatesFull-TimeDirector
Salary210,000 - 300,000 USD per year
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Job Details
- Experience
- 12+ years
- Required Skills
- Artificial IntelligenceMachine LearningProduct ManagementData analyticsSaaS
Requirements
- 12+ years of experience in Product Management, Product Strategy, or related leadership roles within SaaS, data platforms, or technology-driven organizations.
- Proven track record of building and scaling platform-based or data-driven products, including launching new revenue-generating solutions.
- Strong expertise in product strategy, pricing, packaging, and go-to-market alignment.
- Deep understanding of transforming complex data into customer-facing value propositions and business impact.
- Experience leading cross-functional initiatives and influencing executive stakeholders in matrixed environments.
- Strong business and financial acumen, including experience building business cases and revenue models.
- Familiarity with AI/ML technologies and their application within product development and platform strategy.
- Excellent communication, storytelling, and strategic leadership skills.
- Bachelor’s degree in Business, Computer Science, Engineering, or a related field; MBA or advanced degree is a plus.
- Experience within commerce, retail, marketplace ecosystems, or adjacent industries is highly preferred.
- Comfort using modern AI productivity tools and data-driven workflows to improve execution and collaboration.
Responsibilities
- Define and lead the long-term strategy and roadmap for the commerce intelligence and data platform product portfolio.
- Transform large-scale data assets into scalable, monetizable, client-facing solutions that drive measurable business outcomes.
- Develop pricing, packaging, and commercialization strategies in partnership with commercial and finance stakeholders.
- Lead the launch and scaling of data-driven products focused on areas such as pricing intelligence, demand forecasting, and channel optimization.
- Partner closely with engineering and data teams to ensure scalable, reliable, and high-quality platform capabilities.
- Drive AI-powered innovation across the product ecosystem, leveraging machine learning and predictive analytics to create competitive advantages.
- Influence executive leadership on investment priorities, product direction, and growth opportunities.
- Collaborate cross-functionally with Product, Engineering, Marketing, Sales, and Client teams to support adoption, positioning, and go-to-market execution.
- Establish repeatable frameworks for validating product-market fit, customer value, and revenue growth potential.
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