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Engineering Manager - Data Products & Business Intelligence

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Proven leadership and mentorship skills, Extensive experience in data management, Hands-on with platforms like BigQuery, Bachelor's in IT, Computer Science, or related field, Master's degree preferred.

Key responsabilities:

  • Drive data product strategy aligning with goals
  • Architect robust and scalable data solutions
  • Manage and mentor high-performing analytics team
  • Ensure timely project delivery through sprint management
  • Collaborate across teams for seamless integrations
Montu logo
Montu https://www.montu.com.au
201 - 500 Employees
See more Montu offers

Job description

Company Description

 

Montu is one of Australia's leading health tech businesses and a leader in alternative health services. With operations in Australia and Europe, we take a technology-first approach to reshaping the landscape for suppliers, practitioners, pharmacies and patients.

Montu operates a fully integrated, end-to-end ecosystem of healthcare companies that touches every part of the alternative health experience, from patient care through to pharmacy dispensing, clinical education, product development, wholesale distribution and more. Our brands include Alternaleaf, UMeds, Leafio and Saged.

Recognised by the Deloitte Fast 50 as the fastest growing tech company in Australia for two years running – with revenue growth of over 26,000% and 9,000% – Montu is now the largest business of its kind outside North America.

This role is an Australia-based, fully work-from-home position, with access to co-working spaces in Sydney, Melbourne and Brisbane.

Job Description

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.

Qualifications

What We’re Looking For:

  • Leadership Skills: Proven ability to lead teams, mentor talent, and manage projects to success.
  • Experience: Extensive experience in data modeling, Business Intelligence, and data management. You’ve led data product initiatives in complex, data-driven organisations.
  • Technical Expertise: Hands-on experience with data platforms like BigQuery, Snowflake, Looker, Tableau, and managing BI platforms. Deep understanding of data architecture and lifecycle management.
  • Collaboration & Communication: You excel at working cross-functionally and can communicate complex ideas to both technical and non-technical stakeholders.
  • Innovative & Forward-Thinking: You’re always looking to adopt new technologies and approaches to stay competitive and drive continuous improvement.
  • Education: Bachelor’s degree in Information Systems, Data Management, Computer Science, or a related field (Master’s degree preferred).

Additional Information

You’ll be joining a highly motivated, agile team where your ideas and work will directly influence the direction and progress of an expanding global company in a hyper-growth phase. We pride ourselves on our collaborative and driven culture and offer opportunities for advancement to high achievers.

Other benefits include:

  • Gaining access to SAGED courses and more through the Greenhouse learning platform, fostering continuous growth and development.
  • Enjoying discounts with over 450 retailers through our Reward and Recognition platform.
  • The freedom of a full-time, work-from-home role.
  • Access to co-working spaces in Sydney, Melbourne, Brisbane, and select regional cities.
  • Mental health support through our wellbeing platform, Unmind.
  • A private health insurance discount through Medibank.
  • Up to 8 weeks of paid parental leave.
  • Swag kits to celebrate key milestones in your journey with us.
  • Enhancing your home office with our ergonomic equipment reimbursement benefit.
  • Being part of one of the fastest-growing industries in Australia, improving the lives of hundreds of thousands of patients.

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We are committed to facilitating a barrier-free recruitment process and work environment. If you require any accommodations, we welcome you to let us know so we can work with you to participate fully in our recruitment experience.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Innovation
  • Collaboration
  • Communication
  • Leadership Development

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