Investment Management Product Manager, Senior Specialist

About the position Core Responsibilities 1. Investment Data Product Ownership & Strategy Own the Investment Data Stewardship product vision , strategy, and multi‑year roadmap across fund, benchmark, performance, and metadata domains. Define data product standards for accuracy, timeliness, lineage, and usability across WPS platforms (e.g., participant tools, advisor experiences, reporting). Drive prioritization decisions balancing business value, risk mitigation, regulatory needs, and technical feasibility . 2. Investment Domain Leadership Act as a subject matter authority on investment data , including: Mutual funds, collective trusts, and separate accounts Benchmarks, peer groups, and index relationships Returns, asset allocation, attribution, and risk measures Ensure investment data interpretations are consistent, auditable, and suitable for participant and advisor consumption . Establish guardrails for fiduciary‑grade data usage across digital channels. 3. Data Stewardship & Governance Leadership Own investment data stewardship operating models , including: Data ownership and accountability Quality standards and controls Metadata, business definitions, and lineage Partner with the various business lines to align to data governance frameworks while representing the unique needs of investment data. Ensure stewardship practices support regulatory, compliance, and internal risk expectations . 4. Technology & Data Platform Enablement Partner with engineering and architecture teams to: Modernize investment data pipelines and stores Enable cloud‑based data platforms Support scalable ingestion of custodian and market data feeds Translate investment and business needs into well‑defined product requirements, epics, and success metrics . Champion automation of data quality checks, reconciliations, and monitoring. 5. Cross‑Functional Leadership & Influence Serve as a single accountable product owner across Investment Solutions, GIFS, Technology, Data Governance, and External Data Providers. Lead complex initiatives that require alignment across multiple senior stakeholder groups without formal authority. Communicate clearly with executive audiences on progress, risks, and trade‑offs. 6. Business Value & Outcomes Demonstrate measurable impact through: Reduced investment data defects and rework Faster onboarding of new funds and products Improved participant and advisor data experiences Increased confidence in externally distributed data (e.g., Morningstar) Track and report product KPIs tied to quality, adoption, efficiency, and business outcomes . Qualifications 1. Investment & Financial Domain Deep understanding of investment products and investment data (fund structures, benchmarks, performance calculations, asset allocation). Experience working with custodians, asset managers, or investment data aggregators . Strong grasp of how investment data is consumed across digital tools, reporting, and client communications . 2. Product & Business Acumen 8+ years of experience in product management, investment analytics, data product ownership, or platform leadership . Proven ability to own product strategy and drive complex, cross‑functional execution . Strong financial, analytical, and decision‑making skills; able to articulate ROI and business impact. 3. Technical & Data Acumen Ability to partner effectively with engineers/analysts on: Data models and schemas Quality controls and automation Integration patterns and data distribution Working knowledge of data concepts sufficient to guide design and validate outcomes. Coach and support data analysts aligned to your function 4. Leadership & Influence Executive‑level communication skills with the ability to simplify complex technical and investment concepts . Strong influencing skills; capable of driving alignment without direct authority. Proven track record leading through ambiguity and organizational change. 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.

Responsibilities

• Investment Data Product Ownership & Strategy Own the Investment Data Stewardship product vision , strategy, and multi‑year roadmap across fund, benchmark, performance, and metadata domains.
• Define data product standards for accuracy, timeliness, lineage, and usability across WPS platforms (e.g., participant tools, advisor experiences, reporting).
• Drive prioritization decisions balancing business value, risk mitigation, regulatory needs, and technical feasibility .
• Investment Domain Leadership Act as a subject matter authority on investment data , including: Mutual funds, collective trusts, and separate accounts Benchmarks, peer groups, and index relationships Returns, asset allocation, attribution, and risk measures
• Ensure investment data interpretations are consistent, auditable, and suitable for participant and advisor consumption .
• Establish guardrails for fiduciary‑grade data usage across digital channels.
• Data Stewardship & Governance Leadership Own investment data stewardship operating models , including: Data ownership and accountability Quality standards and controls Metadata, business definitions, and lineage
• Partner with the various business lines to align to data governance frameworks while representing the unique needs of investment data.
• Ensure stewardship practices support regulatory, compliance, and internal risk expectations .
• Technology & Data Platform Enablement Partner with engineering and architecture teams to: Modernize investment data pipelines and stores Enable cloud‑based data platforms Support scalable ingestion of custodian and market data feeds Translate investment and business needs into well‑defined product requirements, epics, and success metrics .
• Champion automation of data quality checks, reconciliations, and monitoring.
• Cross‑Functional Leadership & Influence Serve as a single accountable product owner across Investment Solutions, GIFS, Technology, Data Governance, and External Data Providers.
• Lead complex initiatives that require alignment across multiple senior stakeholder groups without formal authority.
• Communicate clearly with executive audiences on progress, risks, and trade‑offs.
• Business Value & Outcomes Demonstrate measurable impact through: Reduced investment data defects and rework Faster onboarding of new funds and products Improved participant and advisor data experiences Increased confidence in externally distributed data (e.g., Morningstar)
• Track and report product KPIs tied to quality, adoption, efficiency, and business outcomes .

Requirements

• Deep understanding of investment products and investment data (fund structures, benchmarks, performance calculations, asset allocation).
• Experience working with custodians, asset managers, or investment data aggregators .
• Strong grasp of how investment data is consumed across digital tools, reporting, and client communications .
• 8+ years of experience in product management, investment analytics, data product ownership, or platform leadership .
• Proven ability to own product strategy and drive complex, cross‑functional execution .
• Strong financial, analytical, and decision‑making skills; able to articulate ROI and business impact.
• Ability to partner effectively with engineers/analysts on: Data models and schemas Quality controls and automation Integration patterns and data distribution
• Working knowledge of data concepts sufficient to guide design and validate outcomes.
• Coach and support data analysts aligned to your function
• Executive‑level communication skills with the ability to simplify complex technical and investment concepts .
• Strong influencing skills; capable of driving alignment without direct authority.
• Proven track record leading through ambiguity and organizational change.

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