Senior Manager, Enterprise Data

Shield AI

. Lead and develop the Enterprise Data delivery team, including Data Engineers, Analytics Engineers, Domain Enablement Engineers, and Data Governance specialists .

Posted 9/24/2026full-timeRemote • United StatesSenior💰 $180,000 - $270,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading and developing high-performing data teams while translating enterprise data strategies into actionable delivery plans. Proficient in managing complex data environments, ensuring data quality, and aligning technical delivery with business priorities.

Highest-signal resume keywords

Data Engineering LeadershipLakehouse ArchitectureData Quality ManagementStakeholder ManagementDelivery Planning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData PipelinesDimensional ModelingSemantic LayersMetadata ManagementGoverned AccessOutcome-Oriented RoadmapsData-Product DeliveryBronze/Silver/Gold PatternsTechnical Delivery Assessment

Soft Skills

Organizational LeadershipStrong CommunicationJudgment in Ambiguous EnvironmentsStakeholder EngagementCoaching and Development

Tools & Technologies

DatabricksDelta LakeUnity CatalogDatabricks SQLWorkflows

Industry Keywords

Enterprise DataAnalytics EngineeringData GovernanceBusiness DomainsRegulated Environments

Tech Stack

Tools & technologies

CloudERPSQLUnity

About the role

Key responsibilities & impact

Lead and develop the Enterprise Data delivery team, including Data Engineers, Analytics Engineers, Domain Enablement Engineers, and Data Governance specialists
Establish delivery rhythms for planning, prioritization, capacity management, roadmap tracking, dependency management, risk escalation, and stakeholder communication
Translate enterprise data strategy and business-domain priorities into sequenced 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 outcomes, assess readiness, prioritize use cases, and establish delivery expectations
Coordinate delivery across Data Engineering, Analytics Engineering, Domain Enablement, and Data Governance; resolve dependencies and escalate decisions
Ensure outputs meet production-readiness, data-quality, documentation, ownership, lineage, security, access-control, and maintainability expectations
Partner with technical leads and data engineering, analytics engineering, platform/reliability, and governance specialists to align delivery with enterprise standards
Hire, coach, develop, and retain a high-performing data team
Define and monitor delivery-health measures including roadmap progress, throughput, domain enablement time, adoption, quality trends, operational stability, and unresolved dependencies
Communicate delivery progress, risks, investment needs, and tradeoffs to business and technology leadership
Continuously improve the delivery model as the enterprise data platform and organization evolve
Partner with the Sr. Director of Enterprise Data & Architecture on strategy, operating model, investment priorities, executive engagement, and cross-functional alignment

Requirements

What you’ll need

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 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 being 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
Strong communication, organizational leadership, and stakeholder-management skills
Preferred: hands-on Databricks experience, including Delta Lake, Unity Catalog, Databricks SQL, or Workflows
Preferred: experience scaling an enterprise data function, data-product operating model, or multi-domain analytics platform
Preferred: experience in complex enterprise domains or regulated and security-sensitive environments
Preferred: experience leading platform migrations, modernizations, ERP transformations, or enterprise data operating-model change
Preferred: experience managing distributed, remote, partner, or blended internal/external delivery teams

Benefits

Comp & perks

Bonus
Benefits package for full-time regular employees
Equity
Temporary benefits package after 60 days of employment for temporary employees