Senior Technical Product Manager (AI) - HyperPersonalization

Responsibilities

• Leads product management activities for multiple products, or one strategic product, with cross-divisional impact. Drives the design and continuous improvement of AI/ML technical solutions.

• Influences and collaborates with cross-functional teams to create best practices that drive significant change to the client experience. Ensures business outcomes are linked to business case drivers.

• Coaches technical product teams towards AI/ML best practices and learnings. Oversees product teams' support of the messaging, communication, and customer outreach as necessary.

• Facilitates strong business support through working with team members to promote a consistent approach to decisions/impacts and client propositions. Drives connection across all appropriate internal and external stakeholders.

• Leads the planning, development and implementation of new AI/ML technical products with cross-divisional impact. Defines and analyzes AI/ML markets, developing detailed product features and requirements, and developing implementation plans.

• Influences and employs a variety of qualitative and quantitative analysis techniques to continually improve the user experience.

• Participates in and influences ongoing business planning and departmental prioritization activities.

• Drives the team’s engineering practices in development, continuous integration, and automated deployment.

• Participates in special projects and performs other duties as assigned.

• Manages the complete product lifecycle from strategy and planning to development and go-to-market execution for AI/ML-based products.

• Conducts market research and analyzes trends to identify opportunities for AI/ML product innovation and enhancement.

• Determines features and functional specifications in collaboration with cross-functional teams.

• Prepares product documentation and enables internal stakeholders (including sales and marketing) with the required product knowledge and technical expertise.

• Uses customer feedback and product performance data to evaluate current functionality and shape the direction of future releases.

Qualifications and Skills

• Minimum 10 years of experience in product management, technical project management, or AI/ML product leadership roles, including four years of experience managing AI/ML or data-driven solutions.

• Bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, or a related technical field required; Master’s degree or MBA preferred.

• Good to have skills in AI/ML product lifecycle management, stakeholder engagement, market research, data-driven decision-making, and technical collaboration across engineering and data science teams.

• Experience working with agile development methodologies, AI/ML frameworks (e.g., TensorFlow, PyTorch), and cloud platforms (e.g., AWS, Azure, GCP) is expected.

• Strong verbal and written communication, problem-solving, critical thinking, cross-functional collaboration, and organizational skills.

• Preferred certifications include Pragmatic Product Management, Certified Scrum Product Owner (CSPO), or Google Cloud/AWS Machine Learning certifications.

• Ability to adapt quickly in a fast-paced environment, work with ambiguity, and lead products that are technically complex and strategically impactful.

Special Factors

Sponsorship

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.