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Senior Manager, Data Engineering

at Vanguard

Back to all Data Engineering jobs
Vanguard logo
Industry not specified

Senior Manager, Data Engineering

at Vanguard

Tech LeadNo visa sponsorshipData Engineering

Posted 6 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

**Senior Manager, Data Engineering**: Expert leading multiple leaders, driving scalable data solutions. Key responsibilities: manage and mentor a team of 10+ technologists, own end-to-end data product lifecycle (definition to deployment), collaborate cross-functionally to deliver insights that drive business value. Required skills: 8+ years in data engineering, proven experience building and managing high-performing teams, strong leadership and stakeholder management skills, proficient in data modeling, ETL, and cloud technologies (AWS, GCP, Azure). Experience with big data tools (Spark, Hadoop) and data governance a plus.

Join our team and help shape the future of data-driven decision making. As a Senior Manager, Data Engineering, you will lead a team of leaders responsible for building and scaling trusted, reusable, and enterprise-grade data products that power analytics and decisioning across the business. In this role, you will sit at the center of our data ecosystem, enabling teams across the organization through high-quality, governed, and highly available data assets. You will partner closely with business, analytics, and technology stakeholders to define priorities, guide strategy, and deliver data products that unlock insights and drive measurable outcomes. You will translate complex business needs into scalable data solutions, ensuring teams are aligned to shared outcomes and delivering value at scale. At the same time, you will drive execution, leading the development of modern data platforms and pipelines that are resilient, high-performing, and grounded in strong data quality and governance practices.

Responsibilities:

  • Leads and develops a team of managers, technical leads, and engineers, building a strong leadership bench and high-performing engineering culture while setting performance standards, coaching, and supporting career development.
  • Owns the end-to-end lifecycle of enterprise data products and platforms, including definition, development, delivery, and optimization, ensuring scalability, reuse, quality, and measurable business value.
  • Directs planning, prioritization, and execution of data product roadmaps and engineering initiatives aligned to business outcomes and enterprise strategy, while driving adoption and reliability across domains.
  • Leads the design and development of scalable data pipelines, platforms, and frameworks, enabling efficient data integration, self-service consumption, and insight generation from large, complex datasets.
  • Establishes and enforces data quality, governance, and observability practices, ensuring data integrity, consistency, and trust across the data ecosystem.
  • Partners with senior leaders and cross-functional teams to shape data strategy, influence operating models, and deliver high-impact, outcome-based solutions.
  • Evaluates and implements modern data technologies and architecture patterns to improve scalability, performance, and developer experience while fostering innovation and continuous improvement.
  • Participates in special projects and performs other duties as assigned.

Required Qualifications:

  • Minimum of ten years’ business or technical experience including people management and data expertise.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • Experience leading data engineering teams and delivering scalable data solutions.
  • Experience partnering with business and technical stakeholders to define requirements and deliver data solutions.
  • Experience translating business needs into data engineering solutions or products.
  • Proven track record delivering data initiatives in complex or ambiguous environments.
  • Experience with modern data engineering technologies and cloud platforms (e.g., AWS or similar).
  • Hands-on or leadership experience with data modeling, data quality, and data management practices.

Preferred Qualifications:

  • Graduate degree preferred.
  • Exposure to modern data platforms (e.g., data lakes, real-time systems, Databricks).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) and analytics workflows.
  • Experience making decisions in ambiguous or high-stakes environments.
  • Deep understanding of data and analytics principles, including data quality and modeling.
  • Experience making decisions in ambiguous or high-stakes environments.
  • Experience driving change and influencing adoption across teams.

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.

Senior Manager, Data Engineering

at Vanguard

Back to all Data Engineering jobs
Vanguard logo
Industry not specified

Senior Manager, Data Engineering

at Vanguard

Tech LeadNo visa sponsorshipData Engineering

Posted 6 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

**Senior Manager, Data Engineering**: Expert leading multiple leaders, driving scalable data solutions. Key responsibilities: manage and mentor a team of 10+ technologists, own end-to-end data product lifecycle (definition to deployment), collaborate cross-functionally to deliver insights that drive business value. Required skills: 8+ years in data engineering, proven experience building and managing high-performing teams, strong leadership and stakeholder management skills, proficient in data modeling, ETL, and cloud technologies (AWS, GCP, Azure). Experience with big data tools (Spark, Hadoop) and data governance a plus.

Join our team and help shape the future of data-driven decision making. As a Senior Manager, Data Engineering, you will lead a team of leaders responsible for building and scaling trusted, reusable, and enterprise-grade data products that power analytics and decisioning across the business. In this role, you will sit at the center of our data ecosystem, enabling teams across the organization through high-quality, governed, and highly available data assets. You will partner closely with business, analytics, and technology stakeholders to define priorities, guide strategy, and deliver data products that unlock insights and drive measurable outcomes. You will translate complex business needs into scalable data solutions, ensuring teams are aligned to shared outcomes and delivering value at scale. At the same time, you will drive execution, leading the development of modern data platforms and pipelines that are resilient, high-performing, and grounded in strong data quality and governance practices.

Responsibilities:

  • Leads and develops a team of managers, technical leads, and engineers, building a strong leadership bench and high-performing engineering culture while setting performance standards, coaching, and supporting career development.
  • Owns the end-to-end lifecycle of enterprise data products and platforms, including definition, development, delivery, and optimization, ensuring scalability, reuse, quality, and measurable business value.
  • Directs planning, prioritization, and execution of data product roadmaps and engineering initiatives aligned to business outcomes and enterprise strategy, while driving adoption and reliability across domains.
  • Leads the design and development of scalable data pipelines, platforms, and frameworks, enabling efficient data integration, self-service consumption, and insight generation from large, complex datasets.
  • Establishes and enforces data quality, governance, and observability practices, ensuring data integrity, consistency, and trust across the data ecosystem.
  • Partners with senior leaders and cross-functional teams to shape data strategy, influence operating models, and deliver high-impact, outcome-based solutions.
  • Evaluates and implements modern data technologies and architecture patterns to improve scalability, performance, and developer experience while fostering innovation and continuous improvement.
  • Participates in special projects and performs other duties as assigned.

Required Qualifications:

  • Minimum of ten years’ business or technical experience including people management and data expertise.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • Experience leading data engineering teams and delivering scalable data solutions.
  • Experience partnering with business and technical stakeholders to define requirements and deliver data solutions.
  • Experience translating business needs into data engineering solutions or products.
  • Proven track record delivering data initiatives in complex or ambiguous environments.
  • Experience with modern data engineering technologies and cloud platforms (e.g., AWS or similar).
  • Hands-on or leadership experience with data modeling, data quality, and data management practices.

Preferred Qualifications:

  • Graduate degree preferred.
  • Exposure to modern data platforms (e.g., data lakes, real-time systems, Databricks).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) and analytics workflows.
  • Experience making decisions in ambiguous or high-stakes environments.
  • Deep understanding of data and analytics principles, including data quality and modeling.
  • Experience making decisions in ambiguous or high-stakes environments.
  • Experience driving change and influencing adoption across teams.

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.

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