VP, Product Management (Data Lakehouse)

Location: Remote – U.S.A.

Salary: $250K–$300K per year, plus a discretionary incentive program and benefits depending on full-time employment status.

Company

hirify.global delivers first-party data that helps businesses gain precise insights, activate audiences, and measure impact.

What you will do

• Define and execute the vision, strategy, roadmap, and investment priorities for the enterprise data platform and lakehouse ecosystem.
• Lead the product strategy and implementation of lakehouse capabilities in partnership with engineering, architecture, data science, and vendors.
• Prioritize platform-enabled use cases including feasibility prediction, dynamic pricing, router optimization, graph analytics, synthetic data, and AI-ready datasets.
• Drive adoption of trusted, reusable, scalable, and governed data products across analytics, operations, AI, and commercial decision-making.
• Align Product, Panel, Technology, Research & Data Science, and Commercial stakeholders around roadmap and operating-model decisions.
• Build and scale a product management team as the data platform portfolio grows.

Requirements

• 10+ years of experience in product management, platform products, data platforms, data infrastructure, analytics, or related fields.
• Experience leading large-scale data platform, lakehouse, data warehouse, data mesh, or data infrastructure initiatives.
• Strong understanding of modern data architectures, including metadata, governance, semantic layers, ontologies, feature stores, APIs, Snowflake, Iceberg, Spark, Kafka, and Airflow.
• Experience translating complex business requirements into scalable capabilities for analytics, optimization, decision support, and data products.
• Experience defining enterprise platform or technical product strategies and roadmaps, evaluating investments, and managing executive stakeholders.
• Experience building high-performing product teams and operating hands-on in ambiguous, early-stage platform environments.

Nice to have

• Experience with cloud platforms, preferably AWS, as well as data engineering, analytics, AI/ML, or enterprise software ecosystems.
• Experience leveraging consultants and contractors alongside internal resources.

Culture & Benefits

• Inclusive and accessible workplace committed to diversity and equal opportunity.
• Accommodations are available upon request throughout the selection process.
• Full-time employees may receive medical and other benefits.
• A discretionary incentive program may be included in the compensation package.