Sr. Manager, Enterprise Data (R6103)
Remote · USD 180,000-270,000 / year · 3+ years experience · Remote · Posted Sep 24, 2026
At a glance
- Experience
- 3+ years experience
- Workplace
- Remote
- Location
- Remote
- Salary
- USD 180,000-270,000 / year
About the role
- Shield AI is seeking a Sr. Manager, Enterprise Data (R6103) to lead and develop the Enterprise Data delivery team.
Responsibilities
- 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.
- Hire, coach, develop, and retain a high-performing data team; establish role clarity, growth expectations, performance feedback, and appropriate technical leadership opportunities.
- Define and monitor practical measures of delivery health, including roadmap progress, throughput, time to enable new domains, adoption, quality trends, operational stability, and unresolved dependencies.
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.
Preferred qualifications
- Hands-on experience with Databricks, including Delta Lake, Unity Catalog, Databricks SQL, Workflows, or related lakehouse capabilities.
- 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.
Benefits
- Bonus
- Benefits
- Equity
Skills
- Databricks
- Delta Lake
- Unity Catalog
- Databricks SQL
- Workflows
- Lakehouse Architecture
- Data Pipelines
- Dimensional Modeling
- Semantic Layers
- Data Governance
