VP, Product Management – Data Lakehouse

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $250k - $300k / year

⏰ Full Time

🔴 Lead

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Dynata

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

💰 $31.5M Debt Financing - Dynata on 2024-05

Consulting • Marketing • SaaS

Dynata is a market research and data company that provides high-quality first-party survey panels, audience data, and a suite of survey and analytics platforms to help organizations collect, activate, and measure insights. The company offers global B2B and B2C panels, survey scripting and fielding tools, data enrichment, audience activation, brand lift measurement, and data visualization, and it emphasizes data quality using AI/ML (QualityScore™) and security certifications. Dynata serves researchers, brands, media agencies, publishers, pollsters, and academics with both self-service and managed services.

📋 Description

• Define and execute the vision, strategy, and roadmap for Dynata's enterprise data platform and lakehouse ecosystem • Align platform investments with business priorities and deliver measurable value across analytics, operations, AI, and data product initiatives • Identify opportunities to consolidate overlapping data assets, services, and workflows • Establish platform investment priorities, business cases, success metrics, and adoption goals • Lead product strategy and implementation of Dynata's lakehouse platform with engineering, architecture, data science, and vendor teams • Translate business and product requirements into platform capabilities • Drive adoption and trust of platform-enabled capabilities in operational and commercial decision-making • Evaluate platform performance and identify optimization, expansion, and innovation opportunities • Define and prioritize use cases including feasibility prediction, dynamic pricing, router optimization, graph analytics, syndicated data products, synthetic data products, AI-ready datasets, and advanced analytics • Align cross-functional stakeholders around investment priorities, roadmap decisions, operating models, and adoption strategies • Build and scale a team of product managers as the data platform portfolio grows

🎯 Requirements

• 10+ years of experience in product management, platform products, data platforms, data infrastructure, analytics, or related fields • Proven experience 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 translating complex business requirements into scalable platform capabilities supporting analytics, optimization, decision support, and data product use cases • Demonstrated success defining product strategy and roadmaps for enterprise platforms or technical products • Demonstrated success leveraging consultants and contractors in addition to internal resources • Strong analytical and business acumen • Strong communication and stakeholder management skills, including experience influencing VP-level and executive stakeholders • Demonstrated success operating effectively in ambiguous environments and leading early-stage platform initiatives • Experience building and leading high-performing product teams • Experience working with cloud platforms, preferably AWS, data engineering, analytics, AI/ML, or enterprise software ecosystems preferred

🏖️ Benefits

• Discretionary incentive program • Medical and other benefits, dependent on full-time employment status • Collaborative, inclusive culture • Opportunities for growth • Global Power Your Career conference for connection, learning, and growth • High-Potential Program with professional development opportunities • Leadership Challenges providing skills and insights for managers and future leaders