hirly

ResMed

Senior Manager, Manufacturing AI & Analytics

Singapore, Singapore

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at ResMed first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included

Matched against 2.3M live jobs from 200,000+ employers in 200+ countries.

Tailor my resume for this job →

hirly's read of this role

Seniority
Lead / management
Country
SG
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Job Summary

The Senior Manager, Manufacturing AI and Analytics is a key delivery leader within ResMed’s Manufacturing Excellence programme, responsible for implementing AI, automation and analytics solutions across global manufacturing value streams to deliver measurable operational and financial outcomes.

Leading multiple cross-functional squads, the role translates agreed priorities into coordinated execution and drives solutions from design through deployment, adoption, scaling and value realization.

Success requires strong manufacturing knowledge, complex delivery leadership and sufficient technical depth to guide decisions and mobilize specialist teams. This is not a hands-on data science or engineering role.

Let’s talk about Responsibilities

Solution Portfolio and Multi-Squad Delivery

Own and manage the portfolio and integrated roadmap for manufacturing AI and analytics solutions, partnering with Value Stream Owners, the Manufacturing Excellence PMO and transformation leaders on prioritization, feasibility and scalability.

Lead multiple cross-functional squads to translate business and user needs into clear use cases, requirements, delivery plans and measures of success.

Align capacity, sequencing and dependencies; maintain visibility of progress, risks and blockers; and enable timely resolution or escalation.

Guide practical solution and integration decisions, supported by clear accountability, consistent governance and effective delivery practices.

Operational Adoption

Embed solutions into manufacturing workflows, decisions and ways of working by involving leaders and users throughout delivery.

Coordinate the process, role and capability changes required for adoption, and address barriers to sustained use.

Global Scaling and Reuse

Enable proven solutions to scale across relevant sites, processes and value streams while balancing global standards with legitimate local needs.

Promote reuse, capture implementation learning and apply it to future deployments.

Value Realization

Connect delivery and adoption to agreed operational and financial outcomes in partnership with Value Stream Owners and the Manufacturing Excellence PMO.

Track adoption and value indicators, communicate outcomes to senior stakeholders, and surface gaps between technical completion and realised value.

Let’s talk about Qualifications and Experience

Bachelor’s degree in Engineering, Manufacturing, Supply Chain Management, Computer Science, Data Science, Information Systems, Business or a related field; advanced degree preferred.

Demonstrated experience leading complex, cross-functional delivery of analytics, automation or AI-enabled solutions in manufacturing or supply chain environments.

Experience coordinating multiple delivery teams or squads across business, process, data and technology disciplines.

Strong understanding of manufacturing processes, value streams and operational improvement opportunities.

Sufficient technical depth to assess solution feasibility, data readiness, systems integration, scalability and delivery risk, and to work effectively with technical specialists.

Experience with manufacturing data and technology environments such as ERP, MES, equipment or IoT data, historians or similar operational technology platforms.

Strong delivery leadership, facilitation and stakeholder management skills, including driving adoption and influencing senior stakeholders.

Experience scaling digital, analytics, automation or AI solutions across sites, processes or value streams; Industry 4.0 or large-scale manufacturing transformation experience preferred.

#LI-APAC

Joining us is more than saying “yes” to making the world a healthier place. It’s discovering a career that’s challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now! We commit to respond to every applicant.

Original posting on ResMed's site ↗

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job