Senior Manager, Enterprise Data

🕒 September 24

🇺🇸 United States – Remote

💵 $180k - $270k / year

⏰ Full Time

🟠 Senior

👔 Manager

👻 Ghost score 1%

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.

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Shield AI

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🤖 Artificial Intelligence

🚀 Aerospace

🎖️ Defense

Artificial Intelligence • Aerospace • Defense

Shield AI is a leading developer of AI-driven military solutions, focusing on enhancing mission autonomy and battlefield awareness. Their platform, Hivemind, enables rapid deployment of intelligent systems for various defense applications, including drone operation and surveillance. With a commitment to utilizing advanced technology, Shield AI aims to protect service members and civilians by revolutionizing defense technologies through autonomous systems.

📋 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

🎯 Requirements

• 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

🏖️ Benefits

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