Sr. Manager, Enterprise Data (R6103)

The role

Lead the Enterprise Data delivery team as Shield AI enables business domains onto its governed Databricks data platform. Turn data strategy and domain priorities into scoped, reliable, production-ready data products.

What you will do

• Lead and develop the Enterprise Data delivery team: Data Engineers, Analytics Engineers, Domain Enablement Engineers and Data Governance specialists.
• Set delivery rhythms for planning, prioritization, capacity, roadmap tracking, dependencies, risk escalation and stakeholder communication.
• Turn data strategy and domain priorities into sequenced delivery plans for platform onboarding, source integration, data products, semantic enablement and governance.
• Work with business leaders to clarify outcomes, assess readiness, prioritize use cases and set realistic expectations.
• Coordinate delivery across the Data Engineering, Analytics Engineering, Domain Enablement and Data Governance functions and resolve dependencies.
• Ensure outputs meet standards for production readiness, data quality, documentation, ownership, lineage, security and maintainability.
• Review technical approaches and tradeoffs, and challenge duplication, ungoverned data assets or unsustainable operational burden.
• Hire, coach, develop and retain a high-performing data team.
• Define and monitor delivery health measures such as throughput, time to enable new domains, adoption and quality trends.
• Communicate progress, risks, investment needs and tradeoffs to business and technology leadership.

Required qualifications

• 12+ years of experience in data engineering, analytics engineering, BI/data platforms, data architecture or related data disciplines.
• 3+ years of experience leading and developing technical teams 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 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 being the primary hands-on implementer.
• Experience translating business priorities into outcome-oriented roadmaps and realistic sequencing decisions.
• Experience partnering with business, software engineering, cloud/infrastructure, security, governance and architecture functions.
• Strong judgment in ambiguous, fast-moving environments.
• Strong communication, organizational leadership and stakeholder-management skills.

Nice to have

• 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, 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
• Equity (for full-time regular employees)
• Benefits package for full-time regular employees
• Temporary benefits package, applicable after 60 days of employment (temporary employees)

Before you apply

• All offers are contingent on a cleared background check and possible reference check.
• Military fellows and part-time employees are not eligible for benefits.

About the company

Shield AI is a venture-backed defense-tech company that builds intelligent systems to protect service members and civilians. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.