Principal Engineering Management Job

At Imprivata, we deliver unified access and security management programs that eliminate friction, empowering healthcare and mission-critical organizations to work smarter, faster, and more securely.We are constantly raising the bar on what’s possible, owning the outcome of our triumphs and trials, staying nimble amidst change, and cultivating an environment where we win together. Here, your ideas matter, your differences are celebrated, and your work drives real results—for your career, your teammates, and our customers.We’re committed to building an inclusive workplace where everyone feels valued and supported. We are seeking a Director, Engineering Tooling & Standards to join our team. This is a hybrid opportunity based in our Waltham, MA office.Job SummaryThe Director, Engineering Tooling & Standards leads the engineering team that builds and operates the tooling behind Imprivata’s software development lifecycle, translating defined engineering standards into reliable, adopted developer workflows. This role owns day-to-day delivery and operation of SDLC tooling, reporting and audit automation, sensitive-data protections, and AI-enabled development infrastructure in partnership with Engineering Excellence, Architecture, Security, Privacy, IT, DevOps, and product-line engineering. This role manages DevOps engineers, tooling administrators, and software developers and is accountable for execution quality, service reliability, adoption, and measurable developer outcomes.Duties and ResponsibilitiesLead Engineering Systems Delivery. Lead the DevOps engineers, tooling administrators, and developers who build and operate SDLC tooling; set priorities, clarify ownership, remove delivery obstacles, and maintain reliable engineering services that support product teams. Partner with Engineering Excellence. Configure, integrate, and extend ticket-management systems, enterprise code repositories, and related workflow integrations so standard engineering processes are accessible, consistent, and efficient. Deliver instrumentation, developer-workflow analytics, audit automation, and reporting that make SDLC adherence, engineering health, and developer productivity observable and actionable. Protect Sensitive Engineering Data. Implement and operate sensitive-data redaction and privacy-by-design controls that reduce the risk of PII, PHI, or other sensitive information accumulating in engineering systems. Implement and support LLM gateways or routing layers, model access controls, policy enforcement, prompt/output filtering, audit logging, and related safeguards for enterprise AI use. Package, distribute, maintain, and support engineering skills, context files, and AI coding agents while Architecture retains source ownership; Measure Quality, Reliability, and Adoption. Instrument the tooling and workflows the team delivers, monitor adoption and effectiveness, evaluate meaningful engineering indicators, and use evidence to prioritize improvements and communicate results. set clear performance expectations; create developer-facing documentation and training; and partner across Engineering, IT, DevOps, Security, Privacy, and Architecture to manage dependencies and drive adoption. Required QualificationsBachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 10+ years of experience in software engineering, engineering operations, platform engineering, DevOps, or a related technical function, including demonstrated ownership of tooling used in the software development lifecycle. 3+ years of people management or technical leadership experience, including prioritizing work, coaching technical staff, managing delivery commitments, and partnering across engineering and operational functions. Hands-on experience building, configuring, testing, integrating, or troubleshooting engineering-productivity tools, internal developer platforms, automation workflows, or SDLC tooling. Experience administering development workflows through a ticket-management platform, including intake, prioritization, workflow design, reporting, and dependency management; Experience creating, monitoring, and evaluating SDLC, quality, adoption, or developer-productivity metrics and using results to recommend and implement improvements. Practical experience with AI-assisted or agentic software-development workflows, including governance controls such as permissions, sandboxing, approvals, audit trails, failure analysis, or incident response. Experience with LLM gateways, proxies, routing layers, or related enterprise AI controls, with working knowledge of tradeoffs involving capability, cost, data handling, privacy, reliability, and enterprise access control. Experience applying privacy-by-design and risk-mitigation practices to PII, PHI, or other sensitive information in engineering systems. Demonstrated track record of delivering internal tooling or platform capabilities that engineering teams adopt and use successfully. Strong technical communication skills, including translating engineering needs into clear requirements and explaining AI, security, privacy, and operational tradeoffs to technical and non-technical audiences. Experience creating developer-facing documentation, training, enablement materials, or best-practice playbooks. Experience operating engineering systems in a regulated or security-sensitive environment such as healthcare or financial services is a plus. This position offers a total compensation range of $258,000.00 to $270,000.00 (inclusive of base salary and variable compensation, such as bonuses and incentives). At Imprivata, we have a top-notch work environment, developmental opportunities, a competitive total rewards package, and the desire to have fun. Imprivata provides equal employment opportunities, regardless of race, religion, age, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. #