Sr. Manager, Enterprise Data (R6103)

• 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.
• 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.

#LE

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

Originally posted on Himalayas