Senior FAS Data Product Manager

Malvern, PA - USA

Monthly Salary: Not Disclosed

Posted on: 20 days ago

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities

Product Lifecycle Management: Oversee the full lifecycle of data products including ideation development launch monitoring iterative improvement and retirement.
Operational Leadership: Serve as the connective tissue driving a unified operational framework for data product development ensuring alignment with business strategy and fostering cross-team collaboration between IT and analytics partners.
Requirements Gathering: Collaborate with business stakeholders to scope technical business and operational requirements for data products.
Performance Monitoring: Gather feedback from developers and users monitor product performance and drive ongoing improvements through iterative updates.
Engagement & Adoption: Promote engagement and adoption of data products facilitate training and support user onboarding.

Core Skills

Technical Expertise: Foundational knowledge in data management analytics data engineering (data pipelines storage technologies integration and quality assurance) and alignment with organizational data architecture.
Data Modeling: Understanding of conceptual logical and physical data models; ability to define and govern metadata and semantics.
Business & Strategy: Ability to drive adoption support scalability and ensure ongoing maintenance of data products. Strategic vision and product roadmapping business acumen and change management.
Soft Skills: Strong interpersonal and communication skills to foster collaboration among cross-functional teams and manage stakeholder relationships.
Promoting Data Literacy: Ability to create documentation deliver training and promote data literacy across the organization.

Qualifications

Bachelors or Masters degree in Data Science Computer Science Business or related field.
Proven experience in data product management data engineering analytics or related roles.
Strong understanding of data governance data architecture and product management best practices.
Experience with analytics tools (SQL Python R Tableau Power BI etc.) and data pipeline orchestration.
Excellent communication leadership and stakeholder management skills.
Familiarity with emerging AI/ML capabilities strongly preferred

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard we dont just have a missionwere 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.

Required Experience:

Senior IC

Key ResponsibilitiesProduct Lifecycle Management: Oversee the full lifecycle of data products including ideation development launch monitoring iterative improvement and retirement.Operational Leadership: Serve as the connective tissue driving a unified operational framework for data product developm...