VP, Product Management – Data Lakehouse

This is a fully remote position, open to applicants in United States.

📋 Description

• Define and implement the vision, strategy, and roadmap for Dynata's enterprise data platform and lakehouse ecosystem.

• Align platform investments with business priorities to deliver measurable value across analytics, operations, AI, and data product initiatives.

• Identify chances to consolidate overlapping data assets, services, and workflows.

• Establish priorities for platform investment, develop business cases, define success metrics, and set adoption goals.

• Lead the product strategy and execution of Dynata's lakehouse platform in collaboration with engineering, architecture, data science, and vendor teams.

• Convert business and product requirements into platform capabilities.

• Foster adoption and trust in platform-enabled capabilities for operational and commercial decision-making.

• Assess platform performance and pinpoint opportunities for optimization, expansion, and innovation.

• Define and prioritize use cases such as feasibility prediction, dynamic pricing, router optimization, graph analytics, syndicated data products, synthetic data products, AI-ready datasets, and advanced analytics.

• Align cross-functional stakeholders on investment priorities, roadmap decisions, operating models, and adoption strategies.

• Build and scale a team of product managers as the data platform portfolio expands.

⛳️ Requirements

• Over 10 years of experience in product management, platform products, data platforms, data infrastructure, analytics, or related fields.

• Proven track record in leading large-scale data platform, lakehouse, data warehouse, data mesh, or data infrastructure initiatives.

• Strong understanding of modern data architectures and technologies, including lakehouse, metadata, governance, semantic layers, ontologies, feature stores, APIs, Snowflake, the Apache ecosystem, Iceberg, Spark, Kafka, and Airflow.

• Experience in translating complex business requirements into scalable platform capabilities that support analytics, optimization, decision support, and data product use cases.

• Demonstrated success in defining product strategy and roadmaps for enterprise platforms or technical products.

• Proven ability to leverage consultants and contractors alongside internal resources.

• Strong analytical skills and business acumen.

• Excellent communication and stakeholder management abilities, including experience influencing VP-level and executive stakeholders.

• Proven success in effectively operating in ambiguous environments and leading early-stage platform initiatives.

• Experience in building and leading high-performing product teams.

• Familiarity with cloud platforms, preferably AWS, data engineering, analytics, AI/ML, or enterprise software ecosystems is preferred.

🏝️ Benefits

• Discretionary incentive program.

• Medical and other benefits, depending on full-time employment status.

• Collaborative and inclusive culture.

• Opportunities for career growth.

• Global Power Your Career conference for networking, learning, and professional development.

• High-Potential Program offering professional development opportunities.

• Leadership Challenges providing skills and insights for managers and future leaders.