What are the responsibilities and job description for the Senior Manager, Data Engineering position at Vanguard and Careers?
Improving the lives of investors through data‑driven advice and wealth management
Vanguard is scaling a modern, data‑driven "AWM" Advice & Wealth Management business; pairing our unmatched brand trust with focused leadership, clear ownership across product/digital/tech/ops, and a relentless client‑experience agenda. With ~$1T in operations, we aim to double AUM by 2030.
Data and insights are key to realizing this bold objective. They enable us to:
Deeply understand our clients across all products, channels, and interactions.
Design and implement the best portfolio construction and financial‑planning engines at scale.
Deliver deeply personalized advice and experiences.
The leadership opportunity
We’re offering an incredible opportunity for a talented individual to lead the data engineering functions that support our AWM Analytics teams to deliver client outcomes at scale.
What this role involves
You are a technical leader who owns delivery outcomes for multiple teams (typically 4–6). You ensure excellence in technical design and solutions, drive cross‑team collaboration, practice strong stakeholder management, empower/coach/challenge crew, evolve work practices to leverage Generative AI and emerging tech, and ensure tight alignment to product priorities.
Core responsibilities:
Lead & grow a 15–20 person data engineering function: set the bar for engineering excellence; hire, develop, and retain top talent.
Own delivery outcomes: plan and sequence work across teams; remove impediments; uphold SLAs for data products/pipelines that power AWM Analytics.
Leverage Generative AI and other technologies to boost engineer productivity and data‑product quality (e.g., code assistants, test generation, common frameworks).
Partner across the enterprise (AWMT Architecture Office, CDAO, PI Tech) to advance data engineering maturity, evolve our tech stack, and align to architecture roadmaps.
Elevate team culture: create an energizing, mission‑oriented environment.
Qualifications
10 years in data engineering (or adjacent), including experience leading multi‑team technical delivery.
Demonstrated experience scaling data products/pipelines on a cloud‑native stack.
Strong grounding in DataOps (observability, CI/CD, testing, quality/lineage) and FinOps (cost modeling, governance).
Executive‑ready stakeholder management; ability to translate complex technical trade‑offs into business outcomes.
Domain knowledge in advice, wealth management, and investor data preferred.
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.