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, Google Cloud Platform) 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
Vanguard is not offering visa sponsorship for this position.

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.