Senior Manager - Data Management

{"description": "As Senior Manager, Technical Product Manager for Personal Investor, you will own the vision and roadmap for technical data products that power operational efficiency, advanced analytics, and AI-ready data driven capabilities across the organization. This high-impact role blends strategic leadership with hands-on data product ownership-defining and managing the lifecycle of governed, reusable data assets such as curated datasets, APIs, and data services, while ensuring interoperability to break down silos.

You'll embed governance standards, metadata management, and lineage tracking into every product, driving continuous improvement in data quality through automation and monitoring frameworks. Your work will enable secure and compliant GenAI adoption by designing scalable architectures and implementing robust security controls that uphold privacy and regulatory requirements. Operating in a dynamic, fast-paced environment, you'll collaborate with technology, business, and risk teams to influence enterprise data strategy, architect systems and protocols for ethical AI use, and champion a culture of innovation and responsibility.

This is a high-visibility opportunity to shape and safeguard the future of data-driven innovation, positioning Vanguard at the forefront of trusted AI and data modernization. Your leadership will accelerate enterprise-wide initiatives that deliver measurable business value and lasting impact-making this a unique chance to leave your mark on the future of finance and technology.

Responsibilities:

• Oversees technical data product management activities for multiple technical products, or one strategic technical product, with cross-divisional impact. Drives the design and continuous improvement of the technical solution.
• Own the roadmap for multiple technical products or one strategic product with cross-divisional impact.
  Drive design, development, and continuous improvement of technical solutions using modern engineering practices (CI/CD, automated deployments).
• Apply qualitative and quantitative analysis to optimize user experience. Lead special projects and strategic initiatives that advance enterprise data capabilities.
• Drives the team's engineering practices in development, continuous integration, and automated deployment.
• Foster a culture of innovation, accountability, and continuous learning.
• 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.
• Oversee messaging, communication, and customer outreach strategies for product launches.
• Promote consistent decision-making and alignment across internal and external stakeholders.
• Collaborate with engineering, UX, data, and business teams to establish best practices that enhance client experience. Ensure business outcomes are measurable and tied to strategic drivers. Act as a trusted advisor to senior leadership on product direction and prioritization.
• Define and analyze market trends to inform product features and implementation plans.
• Provides guidance and coaches technical product teams towards 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 technical products with cross-divisional impact. Defines and analyzes 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.

Qualifications:

• Expertise in data product lifecycle management, agile methodologies, and modern engineering practices.
• Strong analytical, strategic thinking, and communication skills.
• Ability to influence at all levels and drive consensus in complex environments.
• Technical skills on cloud data platforms including SaaS offerings.
• Undergraduate degree or equivalent combination of training and experience required. Graduate degree preferred.
• Minimum of eight years related business experience. Three years of leading large cross-functional teams on major organizational projects preferred. Previous people-leadership experience a must.

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.", "salary_raw": "Row(double=None, string=None)"}