Bupa is establishing an AI Factory that will provide the processes, products, capabilities, and governance to execute and support AI adoption and use cases at Bupa.  This team will host, support, develop, and lifecycle manage internally facing tools and customer facing products utilising AI based technologies.

An AI Delivery Manager (AI DM) is responsible for overseeing the delivery of AI projects, ensuring that they are completed on time, within scope, and meet the desired quality standards. The role combines project management with a deep understanding of AI technologies, making it crucial for ensuring the successful implementation of AI solutions.

Responsibilities

Business Outcomes 

• Lead an end-to-end delivery of technology-enabled products, initiatives and/or services. 
• Ensure that the delivery team’s purpose and objectives are clear and linked to the broader vision, strategy, and customer roadmap.
• Work closely with the Product Owner and Team, focus team on what is needed to deliver business outcomes that is the best value approach and in alignment with defined outcomes / objectives of the sprint and program increment. 

Agile Practices Governance and Management

• Facilitate and run day to day agile ceremonies including stand up’s, sprint planning, retros and showcases. 
• Lead PI planning event for the team and co-ordinate external team dependencies to ensure visibility of upcoming delivery.
• Communication of the team delivery commitments and progress updates (both at initiative and overall team levels)
• Shield the team and assist in the removal of blockers and other delivery obstacles.

 Coach, Mentoring and Guiding 

Relationship Building and other management responsibilities. 

• Build strong relationships with internal customers, stakeholders, and integration teams to ensure delivery is smooth and customer centric
• Other responsibilities as directed by the Assignment or Reporting Manager

Community

 You may also carry out any other duties reasonably requested by Bupa from time to time.

Qualifications, Skills, and Experience: 

Project Management

• Agile Methodologies: Proficiency in Agile practices like Scrum, Kanban, or Lean, which are essential for managing AI projects that require iterative development.
• Scope Management: Ability to define project scope clearly and manage changes effectively without derailing the project.
• Risk Management: Identifying potential risks in AI projects (e.g., data issues, model accuracy) and developing mitigation strategies.
• Resource Management: Efficiently allocating resources, including data scientists, engineers, and infrastructure, to ensure project success.

AI and Machine Learning Knowledge

• Understanding AI Concepts: Familiarity with concepts like Large Language Models, Natural Language Processing and related concepts 
• Technical Acumen: Ability to understand technical details, challenges, and solutions related to AI projects, even if not directly involved in coding.
• Tooling and Products: Knowledge of AI tools and products 

Communication and Collaboration

• Stakeholder Management: Engaging with stakeholders (clients, executives, team members) to understand their needs and keep them informed about project progress.
• Technical and Non-Technical Communication: Ability to translate complex AI concepts into understandable terms for non-technical stakeholders.
• Team Collaboration: Working closely with cross-functional teams, including data scientists, engineers, product owners, and developers 

Data Management

• Data Governance: Understanding of data governance principles, ensuring compliance with data privacy laws and policies.
• Data Quality Assurance: Ensuring the quality of data used in AI projects is high, which is crucial for model accuracy.
• Data Integration: Knowledge of data integration processes and challenges when dealing with multiple data sources.

Problem-Solving and Decision-Making

• Analytical Thinking: Ability to analyze complex problems, identify root causes, and develop effective solutions in the context of AI projects.
• Decision-Making Under Uncertainty: Making informed decisions in situations where data may be incomplete or uncertain, which is common in AI projects.

Relationship Management

• Engagement: Building strong relationships with clients, understanding their business needs, and ensuring that AI solutions align with those needs.
• Expectation Management: Setting realistic expectations with clients about the capabilities, timelines, and outcomes of AI projects.

Continuous Learning and Adaptability

• Staying Current: Keeping up to date with the latest AI trends, tools, and methodologies to ensure that the team is using the most effective approaches.
• Flexibility: Being adaptable to changes in project scope, technology, and client needs, which are common in AI projects.

 Financial Management

• Budget Management: Managing project budgets, ensuring that resources are used efficiently, and delivering the project within financial constraints.
• Cost-Benefit Analysis: Evaluating the financial impact of different AI solutions and making decisions that maximize ROI.

These skills enable an AI Delivery Manager to effectively lead AI projects, ensuring they meet business goals and are delivered efficiently, ethically, and with high quality.

What’s in it for you 

As well as a competitive salary, a range of Bupa benefits and flexible working/work from home arrangements, you’ll be encouraged to innovate. You will be collaborating with various teams globally to deliver exceptional experiences. You will have the opportunity to further learn and develop with excellent internal development courses available and a supportive, career development environment. We trust, respect and consider everyone, knowing your difference will make the difference.

To learn more about working at Bupa please visit our website: www.bupa.com.au/careers

At Bupa, we are striving to create and sustain a safe and inclusive workplace. We welcome applicants from all cultural backgrounds, genders, and abilities. If you require any adjustments to participate in our recruitment process, please let us know at the time of your application. 

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