Head of Personal Investor Marketing Analytics

The Vanguard GroupCharlotte, NC
19dHybrid

About The Position

In this role, you will lead and develop a team of high‑performing analysts and managers, driving a deeper understanding of client needs and behaviors while elevating the effectiveness of our marketing investments. You will be responsible for quantifying marketing impact and incrementality through robust measurement approaches, and for partnering closely with Data Science to design and operationalize advanced models. You will also serve as a trusted thought partner to senior Marketing leaders—translating insights into clear, actionable strategies and optimization plans that directly influence business outcomes. This is a highly visible leadership role for someone who thrives at the intersection of analytics, strategy, and influence, and who is motivated by delivering measurable impact at scale.

Requirements

  • Minimum of 12 years of experience in the Advanced Analytics.
  • At least eight years of work experience with Digital data (e.g. Adobe)
  • Undergraduate degree or equivalent combination of training and experience within quantitative fields such as Mathematics, Engineering, Operations Research etc.
  • You are intrigued by the challenge of building analytic capabilities and high performing teams within a dynamic business environment.
  • Demonstrated entrepreneurial mindset by identifying opportunities, taking initiative, and driving innovative analytics solutions that create measurable business impact.
  • A proven track record of decision making and problem solving using advanced analytics methodologies.
  • Conceptual thinking skills must be complemented by a strong quantitative orientation.
  • Strong partnership management skills and ability to advocate for deep analytics to business partners.
  • Strong verbal, storytelling and written communication skills to influence wide variety of audiences.
  • Ability to coach and motivate high performing talent

Nice To Haves

  • Graduate degree preferred

Responsibilities

  • Marketing Measurement & Effectiveness - Own the measurement strategy across marketing channels, including attribution, incrementality, experimentation, and marketing mix modeling (in partnership with Attribution team).
  • Quantify marketing impact, ROI, and efficiency, balancing short‑term performance with long‑term brand and customer value.
  • Establish standards for method selection, interpretation, and usage, ensuring insights are decision‑ready and credible.
  • Advanced Analytics & Modeling- Partner closely with Data Science to design, build, and operationalize advanced attribution and response models (e.g., MMM, MTA, forecasting, response curves).
  • Translate model outputs into practical guidance such as budget ranges, optimization scenarios, and investment guardrails.
  • Ensure analytical rigor while prioritizing explainability and usability for business stakeholders.
  • Strategic Partnership & Influence - Serve as a trusted advisor to Marketing, Finance, and Execution leaders on investment strategy and performance trade‑offs.
  • Lead a centralized marketing portfolio analytics function for all of client groups that conducts regular monitoring, reporting, and analyses of business performance; including ad-hoc requests.
  • Influence annual planning, in‑year optimization, and long-term growth strategies through data‑driven insights.
  • Proactively identify opportunities to improve marketing effectiveness through better data, tools, or processes.
  • Team Leadership & Capability Building- Lead, mentor, and develop a team of high‑performing analysts and managers.
  • Foster a culture of curiosity, accountability, and business impact, not just technical excellence.
  • Build scalable processes, tools, and documentation to support long-term sustainability.
  • Data & Technology Enablement - Partner with Technology, Data Engineering, and Marketing Ops to improve data quality, accessibility, and reliability.
  • Guide the evolution of analytics platforms, dashboards, and self‑service tools.
  • Ensure analytics solutions align with privacy, risk, and regulatory requirements.
  • Participates in special projects and performs other duties as assigned
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