Sr. Manager, Enterprise Data (R6103)

Shield AI
United States
Workplace: RemoteFull timeUSD 180,000 - 270,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 12+ yearsSkills: ["Communication","Organizational leadership","Stakeholder management","Judgment","Strategic planning"]

Lead delivery for the Enterprise Data team as business domains are enabled onto a governed Databricks lakehouse platform. Establish delivery operating rhythms for planning, prioritization, capacity, roadmap tracking, and dependency/risk escalation. Partner with domain and business leaders to scope outcomes, ensure production readiness, quality, governance, and maintainable data products, and align domain work to enterprise semantic standards and Gold-layer expectations.

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FursaFursa
Shield AI
Shield AI
12 hours ago

Sr. Manager, Enterprise Data (R6103)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead delivery for the Enterprise Data team as business domains are enabled onto a governed Databricks lakehouse platform. Establish delivery operating rhythms for planning, prioritization, capacity, roadmap tracking, and dependency/risk escalation. Partner with domain and business leaders to scope outcomes, ensure production readiness, quality, governance, and maintainable data products, and align domain work to enterprise semantic standards and Gold-layer expectations.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead and develop the Enterprise Data delivery team, including Data Engineers, Analytics Engineers, Domain Enablement Engineers, and Data Governance specialists.
  • •Set delivery operating rhythms for planning, prioritization, capacity management, roadmap tracking, dependency management, risk escalation, and stakeholder communication.
  • •Turn enterprise data strategy and domain priorities into sequenced, achievable delivery plans across platform onboarding, source integration, data-product delivery, semantic enablement, and governance.
  • •Ensure domain work is appropriately scoped and sequenced, coordinating across Data Engineering, Analytics Engineering, Domain Enablement, and Data Governance to resolve dependencies and escalate decisions.
  • •Ensure production readiness and governed outcomes, including data quality, documentation, ownership, lineage, security, access controls, and maintainability; hire, coach, develop, and retain the team.

Pay and Benefits

Salary: USD 180,000 - 270,000 annually
Equity and Bonus:Equity

Key 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.
  • •Strong understanding of modern data-platform concepts, including lakehouse architecture, data pipelines, Bronze/Silver/Gold patterns, 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 and realistic delivery sequencing decisions.
Experience:12+ years
Skills:CommunicationOrganizational leadershipStakeholder managementJudgmentStrategic planning
Tech Stack:DatabricksDelta LakeUnity CatalogDatabricks SQLWorkflowsLakehouse architectureBronze/Silver/Gold patternsDimensional modelingSemantic layers

Company Brief

Shield AI
Develops AI-powered autonomy and software for military aircraft and drones to enable autonomous ISR and combat missions, integrating perception, navigation, and mission planning for defense customers.
Industry: Defense Technology
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Funding: Series E+
Headquarters: San Diego, United States
Founded: 2015
WebsiteLinkedIn