Sourcing as a channel, not a feature.
hackajob is partnering with Vanguard to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
In partnership with the Financial Advisor Services (FAS) organization, Vanguard’s Chief Data & Analytics Office is driving a critical transformation in how data and analytics power FAS’s vision of being the Advisor to the Advisor. This role sits at the center of that transformation. The Lead, Data Analytics & Modeling is a highly technical, hands‑on individual contributor who leads complex analytics initiatives and delivers scalable data solutions that enable better decision‑making across the FAS business. This role is responsible for driving end‑to‑end solution delivery—from problem framing through data modeling and analytical output—while setting a high technical bar and mentoring other analysts. The ideal candidate is a strong technical leader without direct people management responsibilities—someone who actively writes code, designs data models, and partners closely with engineering teams to deliver production‑ready data assets.
Hands‑On Technical Leadership
Design, build, and maintain scalable data models, datasets, and analytical solutions with a focus on correctness, performance, and reusability.
Write, review, and own production‑quality SQL and Python code across data pipelines, transformations, and analytical workflows.
Serve as a technical lead on complex projects—defining approach, driving design decisions, and ensuring high‑quality execution.
Partner closely with data engineering and platform teams to influence data architecture, modeling standards, and tooling.
Ensure analytics solutions are built on trusted, well‑governed, and sustainable data foundations.
Analytics & Solution Delivery
Lead the delivery of high‑impact dashboards, metrics, and analytical products that support strategic and operational decision‑making.
Translate ambiguous business problems into structured analytical approaches, data models, and technical solutions.
Apply advanced analytical techniques (e.g., statistical analysis, predictive modeling, machine learning where appropriate) to identify trends, risks, and opportunities.
Drive automation and standardization of reporting and analytics workflows to improve scalability and reduce manual effort.
Own outcomes for key deliverables, ensuring timelines, quality, and business impact are met.
Project Leadership & Mentorship
Lead analytics workstreams across multiple concurrent initiatives, coordinating across stakeholders and ensuring alignment to business priorities.
Mentor and support junior analysts through code reviews, design discussions, and hands‑on coaching.
Promote best practices in data modeling, coding standards, and analytical rigor across the team.
Act as a bridge between business stakeholders and technical teams, ensuring solutions are both business‑relevant and technically sound.
Contribute to shaping analytics priorities and roadmaps, balancing near‑term delivery with long‑term data quality and scalability.
Qualifications:
4+ years of experience in data analytics, data engineering, or related technical roles with strong hands‑on delivery.
Proven experience leading complex analytics or data initiatives as an individual contributor.
Strong experience designing scalable data models (e.g., dimensional, semantic, or analytical models).
Advanced proficiency in SQL and Python, with experience maintaining complex analytical codebases.
Experience partnering closely with data engineering teams on data pipelines, architecture, and data platforms.
Deep understanding of analytics and BI concepts, with experience using tools such as Power BI, Tableau, Looker, or similar.
Strong ability to translate ambiguous business problems into well‑structured technical solutions.
Excellent communication skills, with the ability to clearly explain technical concepts to both technical and non‑technical audiences.
Preferred Experience:
Experience mentoring analysts in a technical lead or informal leadership capacity.
Familiarity with modern data platforms (e.g., cloud data warehouses, transformation frameworks, orchestration tools).
Experience operating in complex, enterprise or regulated environments.
Background in financial services, wealth management, or advisor‑focused businesses.
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.
hackajob is partnering with Vanguard to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.