x
Get our mobile app
Fast & easy access to Jobstore
Use App
Congratulations!
You just received a job recommendation!
check it out now
Browse Jobs
Companies
Campus Hiring
Download App
Jobs in Australia   »   Jobs in Melbourne   »   Engineering Job   »   Engineering Manager - Data Products & Business Intelligence
 banner picture 1  banner picture 2  banner picture 3

Engineering Manager - Data Products & Business Intelligence

Montu

Montu company logo

Are you passionate about data and looking to make a real impact on patient outcomes? We’re searching for an Engineering Manager: Data Products & Business Intelligence to lead our talented team of Analytics Engineers and BI Developers, driving data innovation and enhancing patient care in Australia and the UK.

About the Role:

As the Engineering Manager for Data Products & Business Intelligence, you’ll play a key role in shaping the future of healthcare by leveraging data to improve patient outcomes. You'll be responsible for leading the development of cutting-edge data products, scaling efficient architectures, and ensuring seamless enterprise reporting. You’ll oversee sprints, manage cross-functional integration, and build a high-performing team that is passionate about making a difference. 

What You’ll Do:

  • Drive Data Product Strategy: Work closely with product managers and business stakeholders to align data products with business goals and patient needs.
  • Architect Scalable Solutions: Lead the design of robust, fault-tolerant architectures that can handle large datasets while meeting performance targets.
  • Build & Lead a World-Class Team: Manage and mentor a team of analytics engineers and BI developers, fostering a culture of collaboration, innovation, and success.
  • Sprint Management: Ensure timely project delivery through effective sprint planning, task allocation, and tracking. Remove blockers to keep your team on track.
  • Cross-Functional Integration: Collaborate with engineering, operations, and business teams to ensure seamless integration of data products across platforms.
  • Optimize Data Pipelines: Continuously monitor and improve data pipelines for efficiency, performance, and cost-effectiveness.
  • Stay Ahead of Trends: Drive innovation by staying on top of trends in analytics, machine learning, and emerging technologies.
  • Ensure Data Governance: Implement best practices in data governance to maintain data quality and integrity.

Sharing is Caring

Know others who would be interested in this job?