
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.
🕒 August 28
🇺🇸 United States – Remote
💵 $150k - $200k / year
⏰ Full Time
🟠 Senior
👔 Director
🦅 H1B Visa Sponsor
👻 Ghost score 0%
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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.
• Define and execute the vision, strategy, and roadmap for Dynata's Consumer Intelligence product portfolio • Identify opportunities to productize proprietary panel, survey, behavioral, and profile data assets • Build business cases and investment recommendations for new data products and enhancements • Establish product success metrics, growth objectives, and revenue targets • Develop understanding of customer needs, competitive offerings, and emerging market trends • Work with commercial teams to identify new revenue opportunities and expansion paths • Assess product-market fit and prioritize opportunities based on customer value, feasibility, and business impact • Serve as an internal and external thought leader on the Consumer Intelligence market landscape • Lead the end-to-end lifecycle of Consumer Intelligence products from concept and requirements through launch and scale • Build connections with complementary offerings, such as Audience Activation, to drive greater customer value • Partner with marketing, research, data science, and engineering teams to develop differentiated data assets and methodologies • Define product packaging, pricing, licensing, and commercialization strategies • Drive adoption through customer engagement, industry education, and partnership with commercial teams • Partner with Product, Panel, Technology, Research & Data Science, Commercial, and Operations leaders • Align stakeholders around investment priorities, roadmap decisions, and commercialization strategies • Lead cross-functional teams to translate market opportunities into scalable products • Build and scale a team of product managers as the Consumer Intelligence portfolio grows • Report to the VP, AI and Intelligence Products
• 10+ years of experience in product management, data products, analytics products, market research, or related fields • Proven experience launching and scaling commercial data products or subscription-based information products • Strong understanding of market research, consumer data, audience data, panel-based data, or related data ecosystems • Demonstrated ability to translate data assets into scalable, revenue-generating products • Experience developing product strategy, pricing, packaging, and go-to-market plans • 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 data product initiatives • Experience balancing strategic leadership with hands-on execution • Experience building and leading high-performing product teams • Experience working with data, analytics, research, or SaaS platforms preferred
• A discretionary incentive program may be provided as part of the compensation package • Full range of medical and other benefits, dependent on full-time employment status • Inclusive and accessible work environment • Accommodations available upon request for all aspects of the selection process
Apply Now🕒 August 28
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