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Senior Manager, Data Engineering
- Vanguard (Malvern, PA)
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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.
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