Senior Manager, Data Engineering

The Vanguard Group • Charlotte, PA

2d • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• Domain knowledge in advice , wealth management, and investor data preferred.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees