Data Engineering and Delivery Manager

<h3>Accountabilities</h3><li>Lead and develop a distributed Data Engineering team across multiple countries and time zones, including hiring, onboarding, coaching, performance management, career development, and workload planning.</li><li>Own the Data Engineering roadmap and oversee delivery of major initiatives, including cloud data warehouse modernization, CI/CD improvements, and data readiness for enterprise platform launches.</li><li>Ensure the reliability, availability, security, scalability, and cost-effectiveness of data pipelines and warehouse environments.</li><li>Maintain clear ownership for production data feeds and pipelines while establishing cross-training plans that reduce operational dependency on individual team members.</li><li>Partner with data governance and Business Intelligence leadership to establish consistent engineering standards, source control, deployment practices, and data governance.</li><li>Ensure engineering practices comply with applicable data handling, security, privacy, and regulatory requirements.</li><li>Establish and manage a centralized intake process for reporting and data requests, ensuring requests have clear ownership, business purpose, scope, and acceptance criteria before work begins.</li><li>Maintain a single prioritized backlog across Business Intelligence and Data Engineering, balancing business value, team capacity, technical debt, defects, and delivery timelines.</li><li>Make and communicate prioritization and capacity trade-offs clearly to stakeholders, including the rationale behind delivery decisions.</li><li>Manage handoffs between Business Intelligence and Data Engineering, ensuring responsibilities, ownership, status, and next steps remain visible throughout delivery.</li><li>Facilitate Agile ceremonies including Sprint Planning, Backlog Refinement, Sprint Reviews, and Retrospectives, while removing impediments and escalating significant delivery risks.</li><li>Maintain Azure DevOps configuration, templates, documentation, and team wiki resources in alignment with the operating model.</li><li>Track and communicate delivery health metrics such as cycle time, capacity, defect rates, queue length, unplanned work, and backlog health.</li><li>Represent the data function in enterprise project and planning meetings, communicating intake requirements, priorities, capacity, risks, and delivery expectations to business and technology leadership.</li><h2>Requirements</h2><li>Bachelor’s degree in Information Systems, Computer Science, Business, or a related field, or equivalent professional experience.</li><li>5–7 years of experience in data engineering, data platforms, analytics delivery, or related disciplines, including cloud data platforms and data warehouse development.</li><li>2–4 years of experience leading or managing technical teams, including direct-report performance management.</li><li>At least 2 years of experience as a Product Owner, Product Manager, Scrum Master, Delivery Lead, or similar role supporting data, analytics, or internal technology teams.</li><li>Demonstrated experience owning intake, backlog management, prioritization, and delivery decisions in partnership with business stakeholders.</li><li>Experience implementing or maturing Agile operating models and managing work through Azure DevOps, Jira, or an equivalent platform.</li><li>Hands-on experience with Agile delivery practices, including Scrum, Kanban, or Scrumban, and experience facilitating ceremonies and managing flow metrics.</li><li>Working knowledge of Microsoft Fabric, Azure SQL, Azure Data Factory, Python, SQL, REST APIs, source control, CI/CD, modern data warehousing, and ELT practices.</li><li>Experience with Salesforce data sources, preferably including platforms such as Litify, Service Cloud, or Revenue Cloud.</li><li>Demonstrated ability to translate technical and business requirements into clear user stories, acceptance criteria, delivery plans, and concise status updates.</li><li>Strong decision-making and prioritization skills, with the ability to balance technical considerations, business priorities, capacity, and deadlines.</li><li>Proven ability to recruit, develop, coach, and retain distributed technical teams while fostering accountability, collaboration, and inclusion.</li><li>Excellent stakeholder management and communication skills, with the ability to build effective partnerships across technology, product, operations, finance, marketing, legal, and executive teams.</li><li>Experience managing distributed teams across multiple time zones.</li><li>Experience in legal services, professional services, or another regulated industry is required.</li><li>Professional Scrum Master, Certified Scrum Master, or equivalent certification is preferred.</li><li>Ability to operate effectively in an evolving environment, provide transparent status reporting, and communicate risks or difficult decisions clearly.</li><h2>Benefits</h2><li>Medical, dental, and vision insurance coverage.</li><li>401(k) retirement plan with employer matching.</li><li>Paid time off and paid holidays.</li><li>Paid parental leave.</li><li>Employer-paid life and disability insurance.</li><li>Health Savings Account options with employer contributions.</li><li>Flexible working-time options.</li><li>Employee wellness and assistance resources.</li><li>Fully remote position within the United States.</li><li>Monday–Friday schedule, generally 8:00 a.m.–5:00 p.m. Eastern Time.</li><li>Opportunity to lead a distributed data engineering function and influence data strategy, delivery practices, and platform modernization.</li>