USA remote
Data Engineering and Delivery Manager
About this role
About the Role The Data Engineering and Delivery Manager leads and develops the Data Engineering team to deliver reliable, secure, and scalable data solutions that support the Firm’s operational and strategic goals. This role oversees the performance of the Firm’s data platform and the delivery of engineering initiatives, ensuring alignment with established technical standards and data governance requirements. In partnership with the Director and Business Intelligence Manager, this position manages a centralized intake process and prioritized backlog across Business Intelligence and Data Engineering, balancing business needs, team capacity, and delivery timelines.
The Manager drives effective Agile practices, coordinates work across teams and removes barriers to ensure efficient and accountable delivery. Serving as a primary point of contact for business stakeholders, this role communicates priorities, progress, and risks while continuously improving processes to strengthen collaboration and deliver measurable business value. Your Key Contributions Manage and develop the Data Engineering team across multiple countries and time zones, overseeing hiring, onboarding, coaching, performance management, development plans, and workload.
Own delivery of the Data Engineering roadmap, including the Microsoft Fabric warehouse migration, the CI/CD program with the Firm’s consulting partner, and data readiness for the Salesforce Revenue Cloud go-live. Oversee the reliability, availability, security, and cost of the Firm’s data pipelines and warehouse; maintain documented ownership for every production feed and pipeline and assign cross-training to prevent reliance on a single team member.
Partner with the Data Governance Platform Architect and Business Intelligence Manager to apply consistent engineering standards, source control, deployment practices, and governance; ensure compliance with the Firm’s data handling, security, and regulatory obligations, limiting documented work-item risks to delivery and data handling. Manage a centralized intake process for reporting and data requests from all departments, requiring a requester, business owner, purpose, and acceptance criteria before work begins; establish and enforce Definitions of Ready and Done that address each Feature’s scope, risks, mitigation plans, and success measures.