R&D Manager

Job Description Agilent’s ACG R&D organization is seeking an R&D Manager to a software development team within ACG R&D. This role is responsible for people leadership, delivery execution, operational management, and cross-functional alignment for software R&D areas supporting CrossLab Connect, enterprise lab applications, analytics, monitoring, integrations, and related digital services. The manager will lead a globally distributed software R&D team developing SaaS-based applications, data pipelines, integrations, and customer-facing capabilities that connect laboratory instruments, service workflows, customer environments, and Agilent enterprise systems. The role requires strong technical judgment, business partnership, operational discipline, and the ability to translate strategic priorities into executable team plans. Key Responsibilities Manage the overall operations, priorities, staffing, and delivery execution for an assigned software R&D team. Provide direct people leadership, coaching, performance management, and career development for software engineers, related technical contributors and contractors. Partner with product management, product ownership, architecture, quality, SRE, support, IT, marketing, and other stakeholders to align plans with business objectives and product strategy including presentations to stakeholders and sponsors. Lead development and delivery activities for SaaS-based applications, analytics, monitoring, data pipelines, integrations, and enterprise software capabilities. Support both new product development and sustaining engineering for deployed enterprise software products and services including participation in production incident triage and follow-up. Establish team operating practices that improve planning discipline, execution predictability, quality, communication, and cross-functional coordination. Identify delivery risks, technical issues, dependency gaps, or resource constraints that may delay products, releases, or projects, and drive appropriate mitigation, escalation, or corrective action. Conduct and collaborate on research, development, and technical evaluation activities relevant to long-term product and technology objectives. Support technical decision-making across areas such as cloud-native architectures, data-centric systems, APIs, enterprise integrations, observability, cybersecurity, and operational readiness. Drive effective agile planning, prioritization, backlog alignment, and coordination across globally distributed teams. Build a strong team culture focused on accountability, collaboration, continuous improvement, engineering excellence, and customer impact. Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Engineering, or a related technical field, or equivalent combination of education and directly relevant experience. A minimum of 2 years of experience formally or informally leading people, projects, programs, or technical delivery teams. Experience leading software development or technical delivery in SaaS, enterprise applications, analytics, monitoring, data platforms, laboratory informatics, or related digital product environments. Strong understanding of software development lifecycle practices, agile delivery, release planning, sustaining support, and cross-functional product development. Demonstrated ability to manage priorities, resolve ambiguity, develop people, and maintain execution focus in a globally distributed team environment. Strong communication and stakeholder engagement skills with both technical and non-technical audiences. Preferred Experience Experience in life sciences, laboratory informatics, scientific instruments, services, or other regulated enterprise environments. Experience with CrossLab Connect or similar lab operations, asset management, service management, monitoring, analytics, or customer-facing digital platforms. Experience supporting enterprise or B2B cloud platforms, including SaaS, data/analytics, monitoring, or integration systems. Familiarity with data-centric architectures, including batch or streaming data pipelines, data models, integration patterns. Familiarity with cloud-native architectures, microservices, APIs, web applications, containerization, CI/CD, and DevOps practices. Experience supporting both new product development and sustaining activities for deployed enterprise software products. Familiarity with AI/ML concepts, predictive analytics, IoT/edge systems, telemetry ingestion, digital twins, or data-driven laboratory operations. Experience with agile development methodologies, distributed team collaboration, and cross-functional planning across product, engineering, architecture, quality, and operations. Additional Details La fourchette salariale au Canada de ce poste est de 118,073.00$ à 208,294.00$ CA par an, et le titulaire est admissible à des primes, à des actions et à des avantages sociaux. Nos fourchettes salariales sont déterminées en fonction du rôle, du niveau et de l’emplacement. À l’intérieur de la fourchette, la rémunération individuelle est déterminée par le lieu de travail et d’autres facteurs, notamment les compétences liées à l’emploi, l’expérience et les études ou la formation pertinentes. Au cours du processus d’embauche, un recruteur peut fournir des renseignements sur l’échelle salariale particulière d’un lieu de travail donné. Vous trouverez des renseignements complémentaires à . This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least October 8, 2026 or until the job is no longer posted. The full-time equivalent pay range for this position is $150,000.00 - $234,375.00/yr USD in the US, or $118,073.00 - $208,294.00/yr CAD in Canada, plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email or contact +1-262-754-5030. For more information about equal employment opportunity protections, please visit . Travel Required: Occasional Shift: Day Duration: No End Date Job Function: R&D