Sr. IT Manager

该职位来源于猎聘 Job Description

• Engineering Team Leadership &
  • Talent Development -Set performance expectations, manage capacity, support hiring/onboarding, and build a high-performing team culture. -Set performance expectations, manage capacity, support hiring/onboarding, and build a high-performing team culture. -Develop team capabilities in engineering practices, business understanding, technical problem solving, and cross-regional collaboration.

• Engineering Delivery&
  • Execution Management -Manage delivery of assigned engineering initiatives aligned with approved business and technology priorities. -Oversee delivery planning, dependencies, risks, quality, release readiness, and operational stability. -Ensure solutions are delivered on time, with appropriate quality, security, scalability, and supportability.

• Architecture Alignment &
  • Engineering Standards -Partner with Enterprise Architecture, Solution Architecture, Security, Data, and Infrastructure teams to ensure solution designs align with Deckers standards. -Facilitate technical design reviews for assigned initiatives and escalate exceptions or major trade-offs to the Director and relevant governance forums. -Drive consistent engineering standards, SDLC practices, DevSecOps adoption, documentation, observability, and reusable patterns.

• Digital Transformation &
  • Continuous Improvement -Identify practical digital, automation, AI/ML, analytics, and process improvement opportunities within assigned business domains. -Lead execution of approved transformation initiatives that improve operational efficiency, data quality, user experience, and business decision-making. -Promote responsible adoption of modern engineering tools and AI-assisted ways of working while maintaining security, compliance, and quality expectations.

• Portfolio Coordination, Stakeholder &
  • Vendor Governance -Coordinate assigned roadmap items with business stakeholders, product owners, PM/BA/QA teams, global/APAC partners, and external vendors. -Provide delivery status, risk, dependency, and recommendation inputs for steering committee or leadership reviews. -Manage vendor delivery performance for assigned initiatives and ensure knowledge transfer, documentation, compliance, and support readiness. Education:

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Engineering, or related field required.
• Master’s degree in Computer Science, Information Systems, Technology Management, Digital Transformation, or MBA preferred. Certifications:
• Cloud, DevOps, Agile, Engineering Management, or Architecture-related certifications preferred, such as AWS/Azure certifications, PMP/ACP/Scrum, TOGAF, or equivalent.
• Data, AI, security, or integration-related certifications are a plus, but not mandatory. Work Experience:
• 10–12 years of progressive experience in software engineering, enterprise systems, engineering delivery, solution delivery, platform engineering, data/analytics engineering, or digital transformation.
• 8 years of people leadership or technical team leadership experience, including coaching, performance feedback, team capability development, workload planning, and hiring support.
• Experience delivering enterprise technology initiatives in sourcing, production operations, quality, supply chain, product development, manufacturing, PLM, ERP, integration, data platforms, or related operational domains.
• Experience managing engineering delivery across multiple initiatives, including scope, timeline, quality, risk, dependency, release readiness, and post-go-live support.
• Experience working with global or cross-regional technology teams, balancing local/regional business needs with enterprise architecture, security, data, and platform standards.
• Experience partnering with architects, engineering leads, PM/BA/QA teams, data teams, security teams, infrastructure teams, product owners, vendors, and business stakeholders.
• Experience with modern engineering practices such as Agile/SDLC, CI/CD, DevSecOps, API/integration patterns, observability, automated testing, cloud-enabled platforms, and engineering documentation.
• Experience supporting digital transformation, automation, AI-enabled engineering/productivity, analytics, or data-driven process improvement initiatives is preferred.