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Senior Manager, Data Analytics & Management

ExperiencedNo visa sponsorship
Vanguard logo

at Vanguard

Asset Management

Posted 5 days ago

No clicks

**Senior Manager, Data Analytics & Management** Strategize, develop, and scale data products (analytics, AI, reporting) across domains. Define product-centric data operating model, enhance data maturity, and drive measurable business outcomes. Lead cross-functional teams, influence executives, and ensure data quality, governance, and compliance. Requires 12-15+ years in data/product management with 5+ years in leadership, proven track record in data product scaling, and experience in complex organizations.

Compensation
Not specified USD

Currency: $ (USD)

City
Not specified
Country
United States

Full Job Description

We are seeking a visionary Senior Manager of Data Product Management to lead the strategy, development, and scaling of enterprise data products that power analytics, AI, regulatory reporting, and client experiences. This role will operate at the intersection of business strategy, data management, and technology, transforming data into scalable, reusable, and monetizable assets. You will define and operationalize a product-centric data operating model, establish domain-aligned data products, and drive measurable business outcomes through high-quality, AI-ready data. This leader will influence executive stakeholders, align cross-functional teams, and elevate the organizations data maturity to a modern, product-led paradigm.

Core Responsibilities

1. Data Product Strategy & Vision

  • Define and execute the PW data product strategy, aligned with business priorities and digital transformation goals
  • Establish a North Star vision for data as a product, including standards for usability, quality, discoverability, and interoperability
  • Identify and prioritize high-impact data products across domains (Client, Account, Product, CX, Risk, Finance, etc.)
  • Drive adoption of data product thinking, shifting from project-based delivery to product lifecycle management

2. Product Lifecycle Management

  • Oversee the end-to-end lifecycle of data productsfrom ideation and design to delivery, scaling, and retirement
  • Define clear product roadmaps, success metrics (KPIs/OKRs), and value realization frameworks
  • Ensure products meet consumer needs (analytics, reporting, AI/ML, operational use cases) with a strong focus on user experience
  • Implement continuous improvement loops leveraging usage analytics and stakeholder feedback

3. Operating Model & Governance

  • Design and operationalize a federated, domain-oriented data product model (aligned with data mesh principles where applicable)
  • Partner with Data Governance to embed data ownership, stewardship, quality, and controls into product delivery
  • Define product accountability structures, including roles, funding models, and decision rights
  • Ensure compliance with regulatory, risk, and data privacy requirements

4. Cross-Functional Leadership & Influence

  • Lead and develop a high-performing team of data product managers, product owners, and analysts
  • Partner closely with Engineering, Architecture, Data Management, AI/ML, and Business Leaders
  • Serve as a key advisor to executive leadership on data investments, priorities, and business value realization
  • Drive alignment across domains to enable reusable and interoperable data assets

5. Data & AI Enablement

  • Enable development of AI-ready data products to accelerate advanced analytics, machine learning, and generative AI use cases
  • Champion modern data platforms and ecosystems (e.g., cloud data platforms, lakehouse architectures, metadata-driven systems)
  • Promote data discoverability, lineage, and trust through cataloging and metadata solutions

6. Value Realization & Metrics

  • Define and track business value metrics tied to revenue growth, cost efficiency, risk reduction, and client experience
  • Establish a data product performance framework, including adoption, quality, reliability, and reuse metrics
  • Communicate outcomes through executive dashboards and storytelling

Qualifications

Required

  • 1215+ years of experience in data, analytics, or product management, with 5+ years in executive leadership roles
  • Proven track record of launching and scaling enterprise data products or platforms
  • Deep understanding of data management, governance, and architecture principles
  • Experience leading cross-functional teams in complex, matrixed organizations
  • Strong executive presence with ability to influence at C-suite and board levels

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a missionwe'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.

Senior Manager, Data Analytics & Management

Compensation

Not specified USD

City: Not specified

Country: United States

Vanguard logo
Asset Management

5 days ago

No clicks

at Vanguard

ExperiencedNo visa sponsorship

**Senior Manager, Data Analytics & Management** Strategize, develop, and scale data products (analytics, AI, reporting) across domains. Define product-centric data operating model, enhance data maturity, and drive measurable business outcomes. Lead cross-functional teams, influence executives, and ensure data quality, governance, and compliance. Requires 12-15+ years in data/product management with 5+ years in leadership, proven track record in data product scaling, and experience in complex organizations.

Full Job Description

We are seeking a visionary Senior Manager of Data Product Management to lead the strategy, development, and scaling of enterprise data products that power analytics, AI, regulatory reporting, and client experiences. This role will operate at the intersection of business strategy, data management, and technology, transforming data into scalable, reusable, and monetizable assets. You will define and operationalize a product-centric data operating model, establish domain-aligned data products, and drive measurable business outcomes through high-quality, AI-ready data. This leader will influence executive stakeholders, align cross-functional teams, and elevate the organizations data maturity to a modern, product-led paradigm.

Core Responsibilities

1. Data Product Strategy & Vision

  • Define and execute the PW data product strategy, aligned with business priorities and digital transformation goals
  • Establish a North Star vision for data as a product, including standards for usability, quality, discoverability, and interoperability
  • Identify and prioritize high-impact data products across domains (Client, Account, Product, CX, Risk, Finance, etc.)
  • Drive adoption of data product thinking, shifting from project-based delivery to product lifecycle management

2. Product Lifecycle Management

  • Oversee the end-to-end lifecycle of data productsfrom ideation and design to delivery, scaling, and retirement
  • Define clear product roadmaps, success metrics (KPIs/OKRs), and value realization frameworks
  • Ensure products meet consumer needs (analytics, reporting, AI/ML, operational use cases) with a strong focus on user experience
  • Implement continuous improvement loops leveraging usage analytics and stakeholder feedback

3. Operating Model & Governance

  • Design and operationalize a federated, domain-oriented data product model (aligned with data mesh principles where applicable)
  • Partner with Data Governance to embed data ownership, stewardship, quality, and controls into product delivery
  • Define product accountability structures, including roles, funding models, and decision rights
  • Ensure compliance with regulatory, risk, and data privacy requirements

4. Cross-Functional Leadership & Influence

  • Lead and develop a high-performing team of data product managers, product owners, and analysts
  • Partner closely with Engineering, Architecture, Data Management, AI/ML, and Business Leaders
  • Serve as a key advisor to executive leadership on data investments, priorities, and business value realization
  • Drive alignment across domains to enable reusable and interoperable data assets

5. Data & AI Enablement

  • Enable development of AI-ready data products to accelerate advanced analytics, machine learning, and generative AI use cases
  • Champion modern data platforms and ecosystems (e.g., cloud data platforms, lakehouse architectures, metadata-driven systems)
  • Promote data discoverability, lineage, and trust through cataloging and metadata solutions

6. Value Realization & Metrics

  • Define and track business value metrics tied to revenue growth, cost efficiency, risk reduction, and client experience
  • Establish a data product performance framework, including adoption, quality, reliability, and reuse metrics
  • Communicate outcomes through executive dashboards and storytelling

Qualifications

Required

  • 1215+ years of experience in data, analytics, or product management, with 5+ years in executive leadership roles
  • Proven track record of launching and scaling enterprise data products or platforms
  • Deep understanding of data management, governance, and architecture principles
  • Experience leading cross-functional teams in complex, matrixed organizations
  • Strong executive presence with ability to influence at C-suite and board levels

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a missionwe'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.