Sr. Manager, Enterprise Data

About the Role

Shield AI is a venture-backed defense-tech company focused on protecting service members and civilians using intelligent systems. The Sr. Manager, Enterprise Data leads the delivery of Shield AI’s Enterprise Data team, enabling business domains onto its governed Databricks data platform.

What You'll Do

You will:

• 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 durable, governed, reusable data foundations.
• Coordinate delivery across Data Engineering, Analytics Engineering, Domain Enablement, and Data Governance; resolve dependencies and escalate decisions requiring 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.
• Partner with the Staff Analytics Engineer to ensure domain assets align to enterprise semantic standards, metric definitions, and Gold-layer promotion expectations.
• Partner with the Platform/Data Reliability Engineer to ensure domain workloads meet platform standards for reliability, observability, cost management, environment promotion, and secure production operation.
• Partner with the Data Governance Specialist to ensure ownership, stewardship, classifications, metadata, lineage, quality expectations, and approvals are incorporated into delivery work.
• 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.
• Communicate delivery progress, material risks, investment needs, and tradeoffs clearly to business and technology leadership.
• Continuously improve the team’s delivery model as the enterprise data platform, domain portfolio, and organizational maturity evolve.

Required Qualifications

You must have:

• 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.
• A 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

You will be highly regarded if you have:

• 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.