Data Strategy Tech Lead

🕒 il y a 10 jours

🇺🇸 États-Unis – Télétravail

💵 $180 000 - $230 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

Cette entreprise a parrainé des visas H1B par le passé.

Postuler Maintenant

Trouver des Emplois à Distance Similaires

Configurer une alerte email pour les nouveaux emplois

📊 Vérifiez votre score de CV pour ce poste

Améliorez vos chances d'obtenir un entretien en vérifiant votre score de CV avant de postuler.

Télécharger le CV

SentiLink

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2017

🔐 Sécurité

💳 Fintech

💸 Finance

💰 €70 000 000 Series B en 2021-08

Security • Fintech • Finance

SentiLink est une entreprise spécialisée dans la lutte contre la fraude à l'identité pour les institutions financières. En utilisant des modèles d'apprentissage automatique et l'expertise humaine, SentiLink fournit des solutions sur mesure pour arrêter le vol d'identité lors de la demande pour divers services financiers, y compris les dépôts, le crédit et les prêts. Leurs produits garantissent que les clients peuvent accéder aux services financiers en toute sécurité tout en minimisant les pertes dues à la fraude avec une approche flexible et réactive de la gestion des risques.

Description

• Own the product vision, roadmap, and execution for internal technical initiatives, with a strong focus on data‐intensive systems and foundational datasets. • Lead cross-functional efforts to improve the quality, reliability, and usability of internal systems, including datasets, shared services, and internal platforms. • Drive long-term initiatives to future-proof internal data and technology assets, ensuring they scale with evolving product, analytics, and operational needs. • Partner with engineering, data science, solutions analytics, and product stakeholders to understand use cases, clarify requirements, and identify interdependencies. • Manage prioritization across competing internal demands, balancing immediate impact with long-term strategic value. • Translate complex internal needs into clear, actionable specifications and ensure alignment across teams. • Apply structured project management to initiatives with multiple teams, ambiguous problem spaces, and intricate technical dependencies. • Define and track success metrics for internal systems and datasets, such as quality, completeness, latency, reliability, and stakeholder satisfaction. • Communicate roadmap, progress, risks, and tradeoffs to internal stakeholders at all levels.

🎯 Exigences

• 5+ years of experience with data-heavy or platform-oriented products, with a focus on data platform. • Hands-on experience working with large datasets, ideally in distributed or big-data environments (e.g., Spark, Databricks, BigQuery, Snowflake, similar). • Strong understanding of big data concepts, data pipelines, data cleaning/normalization, and data modeling. • Demonstrated ability to partner effectively with engineering, data science, and analytics teams on deeply technical problem spaces. • Experience driving large internal initiatives with multiple stakeholders and managing substantial cross-functional dependencies. • Proven ability to structure ambiguous requirements, prioritize effectively, and deliver predictable execution on complex technical programs. • Excellent communication skills, with the ability to explain technical concepts to diverse audiences and facilitate alignment across teams. • A forward-looking, durability-focused mindset—ensuring internal systems and datasets are built for scale, maintainability, and long-term adaptability.

🏖️ Avantages

• Employer paid group health insurance for you and your dependents • 401(k) plan with employer match (or equivalent for non US-based roles) • Flexible paid time off • Regular company-wide in-person events • Home office stipend, and more!