Senior Data Product Manager, Agriculture

🕒 il y a 21 jours

🌾 Nebraska, Minnesota, +1 états de plus – Distant

🌾 Nebraska – Remote ❄️ Minnesota – Remote 🤠 Texas – Remote

💵 $115 000 - $149 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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DTN

Site WebLinkedInTous les Emplois

1001 - 5000 employés

📦 Logistique

💼 Conseil

🏥 Santé

💰 Grant en 2014-09

Logistics • Consulting • Healthcare

DTN est une entreprise spécialisée dans les données, les analyses et la technologie, fournissant une intelligence opérationnelle pour aider les entreprises à prendre des décisions en toute confiance. Elle se spécialise dans l'offre de perspectives météorologiques avancées pour divers secteurs, notamment l'agriculture, l'aviation, le transport et les services publics. Grâce à ses solutions innovantes, DTN permet à ses clients de gérer leurs opérations efficacement et de réduire les risques liés aux conditions météorologiques défavorables.

Description

• Own the strategy, roadmap, and investment priorities for agricultural data products, including pipelines, canonical data models, APIs, and shared data services • Identify common data needs across DTN’s agriculture portfolio and translate them into scalable, reusable platform capabilities • Prioritize investments based on customer value, commercial opportunity, data quality, technical feasibility, and long-term scalability • Evaluate new datasets and capabilities for strategic fit, differentiation, commercialization potential, and support for analytics, machine learning, and AI use cases • Partner with Data Engineering, Architecture, Data Science, and Product teams to translate customer and product needs into scalable data solutions • Drive data initiatives from discovery and definition through delivery, adoption, and continuous improvement • Define requirements for data quality, coverage, freshness, reliability, governance, and accessibility • Drive alignment and resolve tradeoffs across complex data initiatives spanning multiple products, systems, and teams • Define success metrics across data quality, reliability, adoption, operational efficiency, customer value, and commercial impact • Use product performance, customer needs, and stakeholder feedback to continuously improve DTN’s data products • Identify opportunities to expand how agricultural data supports analytics, machine learning, predictive models, and AI • Help establish the trusted data foundation required for agricultural data to be reliably discovered, understood, and used by people and AI systems

🎯 Exigences

• 6+ years of Product Management experience, including ownership of complex data, platform, or B2B SaaS products • Demonstrated experience leading products from strategy and discovery through delivery and ongoing optimization • Strong product judgment and business acumen • Ability to balance customer value, commercial opportunity, technical complexity, and long-term platform strategy • Experience managing data-intensive products involving data pipelines, APIs, integrations, analytics, or data platforms • Strong understanding of modern data architectures, including data lakes and warehouses, ETL/ELT pipelines, APIs, cloud infrastructure, data modeling, and governance • Experience partnering closely with Data Engineering, Architecture, and Data Science teams • Ability to make complex technical concepts understandable to both technical and non-technical audiences • Understanding of data requirements for machine learning and AI applications, including data quality, metadata, context, governance, and reliable access • Excellent communication and stakeholder management skills across technical, product, commercial, and executive audiences • Demonstrated ability to influence strategy and drive alignment without direct authority • Strong prioritization and execution skills across complex, cross-team initiatives • Experience in agriculture, ag-tech, data platforms, market intelligence, geospatial technology, or another data-intensive industry (standout qualification) • Familiarity with agricultural data, including farm and field data, crop production, weather, markets, agronomy, or agricultural supply chains (standout qualification) • Experience building data products supporting analytics, predictive models, machine learning, or AI (standout qualification) • Experience with geospatial data, predictive analytics, or AI-ready data infrastructure (standout qualification)

🏖️ Avantages

• Unlimited PTO • Flexible working hours • Remote work model (position dependent) • Competitive Medical, Dental and Vision Insurance Plans • 6% 401K matching • Unlimited access to 13k+ courses via learning platform to support employee career advancement • Employee Assistance Program (EAP) • Opportunity to advance compensation with performance over time • May be eligible for market competitive variable pay and benefits