Sr Manager, Data Engineering

• Lead, develop, and retain a domain data engineering organization, including Staff Engineers and contractor resources, with clear goals, decision rights, performance expectations, development plans, and succession strategies.
• Own the domain data engineering strategy, priorities, integrated roadmap, delivery commitments, stakeholder outcomes, and operating performance from planning through production support.
• Ensure timely resolution of material technical decisions and own priority, delivery, and technical-debt tradeoffs, while enabling Staff Engineers to lead domain technical design and Principal Engineers to provide cross-domain standards and guidance.
• Ensure domain data products and integrations align with shared enterprise platform capabilities and meet expectations for data quality, reliability, security, privacy, observability, governance, access, and lifecycle management.
• Build transparent relationships with senior business and technology leaders, communicate roadmap status, dependencies, risks, decisions, and tradeoffs, and represent the domain in platform, architecture, and technology-governance decisions.

• Bachelor’s degree in Computer Science, Information Systems, Business, or a related field, or a high school diploma or General Education Diploma and four years of relevant experience in lieu of a bachelor’s degree.
• Eight or more years of progressively responsible experience in data engineering, data platforms, technology delivery, or related leadership roles.
• Five or more years of direct people-leadership experience, including management of engineering staff.
• Demonstrated experience owning delivery, stakeholder outcomes, and operating performance for a data domain, platform, or program from planning through production support.
• Demonstrated technical depth sufficient to direct and evaluate data engineering work and make priority, delivery, and technical-debt tradeoffs involving data architecture, integration patterns, data models, and platform decisions.
• Demonstrated ability to lead delivery across direct reports, contractors, and dependent or matrixed teams, including change, contractor, risk, and dependency management.
• Experience operating in a regulated or highly controlled data environment and delivering stakeholder outcomes at the required quality and on schedule.
• Authorization to work in the United States without sponsorship.

• Experience with modern data platforms such as Databricks, event-streaming architectures such as Kafka, and cloud data services in AWS, Azure, or Google Cloud Platform.
• Experience delivering governed data products and semantic capabilities that support analytics, machine learning, and AI use cases across commercial, financial, laboratory, clinical, operational, or customer-facing functions.
• Five or more years of experience in a regulated environment governed by standards or regulations such as SOX, HIPAA, CLIA, Good Clinical Practice, FDA, ISO 13485, or IEC 62304.
• Experience in life sciences, diagnostics, healthcare, or clinical-laboratory environments.
• Experience leading delivery through a combination of internal teams and contractor-based delivery models.
• Experience applying data privacy, security, access governance, lineage, retention, and business-continuity practices.

In specific locations, the pay range may vary from the range posted.