Senior Manager, Enterprise Data

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $185k - $278k / 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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 operating 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 • Scope and sequence domain work while balancing near-term business value with durable, governed, reusable data foundations • Coordinate delivery across Data Engineering, Analytics Engineering, Domain Enablement, and Data Governance; resolve dependencies and escalate decisions • Ensure outputs meet standards for production readiness, data quality, documentation, ownership, lineage, security, access controls, and maintainability • Review delivery plans, technical approaches, risks, and tradeoffs with technical leads • Partner with senior data, analytics, 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 progress, risks, investment needs, and tradeoffs to business and technology leadership • Continuously improve the delivery model as the data platform, domain portfolio, and organizational maturity evolve • Partner with the Sr. Director of Enterprise Data & Architecture on strategy, operating model, investment priorities, executive engagement, and cross-functional alignment • Partner with Platform Engineering and Enterprise Architecture to ensure secure, reliable, scalable enterprise foundations

🎯 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 modern data-platform concepts, including 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 needing to be 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 with incomplete information and competing demands • Strong communication, organizational leadership, and stakeholder-management skills • Hands-on experience with Databricks, including Delta Lake, Unity Catalog, Databricks SQL, Workflows, or related lakehouse capabilities preferred • Experience building or scaling an enterprise data function, data-product operating model, or multi-domain analytics platform preferred • Experience leading data delivery for Supply Chain, Manufacturing, Finance, Program Finance, GTM, HR, Engineering, or other complex enterprise domains preferred • Experience in aerospace, defense, autonomous systems, manufacturing, government, or another regulated and security-sensitive environment 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 preferred • All offers contingent on a cleared background and possible reference check

🏖️ Benefits

• Bonus • Benefits • Equity • Temporary benefits package applicable after 60 days of employment for temporary employees • Equal employment opportunity and reasonable accommodation for disabilities or special needs