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Lendlease

Data and AI Manager

Posted 5 Days Ago
Be an Early Applicant
In-Office
Sydney, New South Wales
Expert/Leader
In-Office
Sydney, New South Wales
Expert/Leader
Lead a multidisciplinary Data and AI team, oversee enterprise data transformation, develop AI/ML models, ensure compliance, and promote data literacy.
The summary above was generated by AI

Lendlease is Australia’s leading real estate business with International operations. Our core expertise is in Investment Management, Development, and Construction. For more than 60 years, we have created thriving places around the globe.   

Lendlease’s Digital team focuses on creating innovative solutions across the entire project lifecycle, from design and construction to operation and customer experience. Our work encompasses areas like data analytics, smart buildings, and advanced construction technologies, ultimately aiming to improve efficiency, sustainability, and the overall value delivered to clients and communities. 

About the Role:

We are looking for a Data and AI Manager to lead our enterprise-wide data and AI capabilities, ensuring ethical, effective, and innovative solutions that empower teams and elevate decision-making. As the Data and AI Manager, you will be driving a culture of innovation, collaboration & continuous learning. Your key responsibilities will be to:

  • Build and lead a high-performing multidisciplinary Data and AI team.

  • Partner with business leaders to understand data and AI needs.

  • Represent data and AI capabilities in strategic forums and governance bodies.

  • Design, develop, and deploy AI/ML models with a focus on ethical and transparent use.

  • Monitor model performance and ensure regulatory compliance.

  • Promote self-service analytics and data literacy across the organisation.

  • Ensure data quality, accessibility, and compliance with regulations.

  • Manage enterprise data platforms, pipelines, and architecture.

  • Collaborate with IT and digital operations to ensure scalability and integration.

About you:

You will have proven expertise in data governance, machine learning, and cloud-based platforms. You will be a collaborative and customer-focussed leader who is committed to innovation and continuous improvement. You will also have:

  • 10+ years in enterprise data transformation or digital innovation, with 5+ years in leadership.

  • Strong leadership, communication, and stakeholder engagement skills.

  • Experience in ethical AI practices and regulatory compliance.

  • Bachelor’s or Master’s degree in IT, Computer Science, Data Science, or related field.

  • Certifications in AI/ML, data governance, or cloud platforms (desirable).

About Us: 

We are committed to developing and retaining the best people and provide the best possible learning and development opportunities. We are a company who thrive on our employee’s wellbeing, and offer benefits including:  

  • Health & Well-being program, including well-being leave to relax and recharge, health assessments, and gym/exercise discounts  

  • Balance your career and personal life with work flexibility, purchase additional annual leave and extensive family support benefits.   

  • 26 weeks paid parental leave for both parents.   

  • 3x extra Wellbeing days per year (on top of annual leave).   

At Lendlease we offer workplaces that unite diverse minds; where respect, equitable treatment and equitable opportunity are just the norm. We remain committed to supporting under-represented groups and providing a wide range of inclusion initiatives, so that everyone is supported to thrive.

Our commitment to Diversity, Equity and Inclusion is reflected in our Elevate Reconciliation Action Plan, our Bronze Award with the Australian Workplace Equality Index by Pride in Diversity, and our generous parental leave policy of 26 weeks to any parent regardless of gender.

Lendlease welcomes applicants regardless of gender identity, ethnicity, people with a disability, sexual orientation, or life stage. If you do not meet all the criteria or require adjustments to proceed with your application, we encourage you to reach out for a further discussion.

Top Skills

AI
Cloud Platforms
Data Analytics
Ml

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