Autonomy for the world. Backed by a16z.
About the role
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.
What they're looking for
- 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
- 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
More about this role
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .
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 role requires substantial data and...
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