Responsibilities

The Sr. Manager, Enterprise Data is responsible for leading delivery across Shield AI’s Enterprise Data team as the organization enables business domains onto its governed Databricks data platform.
This role manages the engineers and delivery work required to turn enterprise data strategy into usable, reliable data products. The Sr. Manager will establish effective delivery rhythms, guide domain prioritization, manage capacity and dependencies, and ensure that business needs are translated into clear, appropriately scoped work for the Data Engineering, Analytics Engineering, Domain Enablement, and Data Governance functions.
The Sr. Manager partners closely with the Sr. Director of Enterprise Data & Architecture on strategy, operating model, investment priorities, executive engagement, and cross-functional alignment. The role partners with Platform Engineering and Enterprise Architecture, which remain direct functions of the Sr. Director, to ensure domain delivery is built on secure, reliable, scalable enterprise foundations.
Lead and develop the Enterprise Data delivery team, including Data Engineers, Analytics Engineers, Domain Enablement Engineers, and Data Governance specialists.
Establish clear delivery operating rhythms for planning, prioritization, capacity management, roadmap tracking, dependency management, risk escalation, and stakeholder communication.
Turn enterprise data strategy and business-domain priorities into sequenced, achievable 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 intended outcomes, assess readiness, prioritize use cases, and establish realistic delivery expectations.
Ensure domain work is appropriately scoped and sequenced, balancing near-term business value with the need for durable, governed, reusable data foundations.
Coordinate delivery across Data Engineering, Analytics Engineering, Domain Enablement, and Data Governance; resolve dependencies and escalate decisions that require platform, architecture, security, infrastructure, or executive direction.
Ensure team outputs meet expectations for production readiness, data quality, documentation, ownership, lineage, security, access controls, and maintainability.
Review delivery plans, technical approaches, risks, and tradeoffs with technical leads; challenge work that creates unnecessary duplication, ungoverned data assets, or unsustainable operational burden.
Partner with the Sr. Staff Data Engineer to align domain delivery to shared ingestion, transformation, and deployment patterns.

Qualification

Hands-on experience with DatabricksStrong judgment in ambiguousStrong communicationExperience in aerospaceExperience leading platform migrationsExperience managing distributedTemporary employee offer package

Required

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.
Hands-on experience with Databricks, including Delta Lake, Unity Catalog, Databricks SQL, Workflows, or related lakehouse capabilities.
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.

Preferred

Experience building or scaling an enterprise data function, data-product operating model, or multi-domain analytics platform.
Experience leading data delivery for Supply Chain, Manufacturing, Finance, Program Finance, GTM, HR, Engineering, or other complex enterprise domains.
Experience in aerospace, defense, autonomous systems, manufacturing, government, or another regulated and security-sensitive environment.
Experience leading platform migrations, modernizations, ERP transformations, or enterprise data operating-model change.
Experience managing distributed, remote, partner, or blended internal/external delivery teams.
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:

Sr. Manager, Enterprise Data (R6103) at Shield · LumiJobs

Sr. Manager, Enterprise Data (R6103)

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Shield

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