Senior Manager, Enterprise Data

🕒 il y a 3 jours

🇺🇸 États-Unis – Télétravail

💵 $180 000 - $270 000 / an

⏰ Temps Plein

🟠 Senior

👔 Manager

👻 Score fantôme 1%

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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Shield AI

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2015

🤖 Intelligence artificielle

🚀 Aérospatiale

🎖️ Défense

Artificial Intelligence • Aerospace • Defense

Shield AI est un développeur de premier plan de solutions militaires basées sur l'intelligence artificielle, axé sur l'amélioration de l'autonomie des missions et de la connaissance du champ de bataille. Leur plateforme, Hivemind, permet le déploiement rapide de systèmes intelligents pour diverses applications de défense, y compris l'opération de drones et la surveillance. Avec un engagement envers l'utilisation de technologies avancées, Shield AI vise à protéger les membres des services et les civils en révolutionnant les technologies de défense par le biais de systèmes autonomes.

Description

• Lead and develop the Enterprise Data delivery team, including Data Engineers, Analytics Engineers, Domain Enablement Engineers, and Data Governance specialists • Establish delivery rhythms for planning, prioritization, capacity management, roadmap tracking, dependency management, risk escalation, and stakeholder communication • Translate enterprise data strategy and business-domain priorities into sequenced delivery plans across platform onboarding, source integration, data-product delivery, semantic enablement, and governance • Partner with business leaders and domain stakeholders to shape intake, clarify outcomes, assess readiness, prioritize use cases, and establish delivery expectations • Coordinate delivery across Data Engineering, Analytics Engineering, Domain Enablement, and Data Governance; resolve dependencies and escalate decisions • Ensure outputs meet production-readiness, data-quality, documentation, ownership, lineage, security, access-control, and maintainability expectations • Partner with technical leads and data engineering, analytics engineering, platform/reliability, and governance specialists to align delivery with enterprise standards • Hire, coach, develop, and retain a high-performing data team • Define and monitor delivery-health measures including roadmap progress, throughput, domain enablement time, adoption, quality trends, operational stability, and unresolved dependencies • Communicate delivery progress, risks, investment needs, and tradeoffs to business and technology leadership • Continuously improve the delivery model as the enterprise data platform and organization evolve • Partner with the Sr. Director of Enterprise Data & Architecture on strategy, operating model, investment priorities, executive engagement, and cross-functional alignment

🎯 Exigences

• 12+ years of experience across data engineering, analytics engineering, BI/data platforms, data architecture, or related technical data disciplines • 3+ years of experience leading and developing technical teams responsible for data, analytics, data products, or data-platform delivery • Demonstrated success leading delivery across multiple business domains and balancing competing stakeholder priorities • Strong understanding of lakehouse architecture, data pipelines, Bronze/Silver/Gold patterns, dimensional modeling, semantic layers, data quality, metadata, lineage, and governed access • Ability to assess and challenge technical delivery approaches without being the primary hands-on implementer for every solution • Experience translating business priorities into outcome-oriented roadmaps, scoped delivery plans, and realistic sequencing decisions • Experience partnering with business stakeholders, software engineering, cloud/infrastructure, security, governance, and architecture functions • Strong judgment in ambiguous, fast-moving environments • Strong communication, organizational leadership, and stakeholder-management skills • Preferred: hands-on Databricks experience, including Delta Lake, Unity Catalog, Databricks SQL, or Workflows • Preferred: experience scaling an enterprise data function, data-product operating model, or multi-domain analytics platform • Preferred: experience in complex enterprise domains or regulated and security-sensitive environments • Preferred: experience leading platform migrations, modernizations, ERP transformations, or enterprise data operating-model change • Preferred: experience managing distributed, remote, partner, or blended internal/external delivery teams

🏖️ Avantages

• Bonus • Benefits package for full-time regular employees • Equity • Temporary benefits package after 60 days of employment for temporary employees