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Tech Stack
Tools & technologiesCloudERPSQLUnity
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 operating 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
- Scope and sequence domain work while 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
- Ensure outputs meet standards for production readiness, data quality, documentation, ownership, lineage, security, access controls, and maintainability
- Review delivery plans, technical approaches, risks, and tradeoffs with technical leads
- Partner with senior data, analytics, 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 progress, risks, investment needs, and tradeoffs to business and technology leadership
- Continuously improve the delivery model as the data platform, domain portfolio, and organizational maturity evolve
- Partner with the Sr. Director of Enterprise Data & Architecture on strategy, operating model, investment priorities, executive engagement, and cross-functional alignment
- Partner with Platform Engineering and Enterprise Architecture to ensure secure, reliable, scalable enterprise foundations
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 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 preferred
- Experience building or scaling an enterprise data function, data-product operating model, or multi-domain analytics platform preferred
- Experience leading data delivery for Supply Chain, Manufacturing, Finance, Program Finance, GTM, HR, Engineering, or other complex enterprise domains preferred
- Experience in aerospace, defense, autonomous systems, manufacturing, government, or another regulated and security-sensitive environment 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 preferred
- All offers contingent on a cleared background and possible reference check
Benefits
Comp & perks- Bonus
- Benefits
- Equity
- Temporary benefits package applicable after 60 days of employment for temporary employees
- Equal employment opportunity and reasonable accommodation for disabilities or special needs