Manager, Advanced Data Analytics – Mobile Analytics

Vanguard

Advanced Data Analytics Manager driving analytics strategies at Vanguard. Leading a team to solve complex business challenges with data-driven insights and recommendations.

Posted 7/29/2026full-timeMalvern • Arizona, North Carolina, Pennsylvania, Texas • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates advanced analytics expertise with hands-on experience in predictive modeling, causal ML methods, and effective stakeholder management. Proven ability to lead and develop teams, communicate insights to diverse audiences, and operationalize analytics to drive business value.

Highest-signal resume keywords

Advanced Analytics ExpertisePredictive ModelingSQL ProficiencyPeople LeadershipAWS Environment Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingCausal ML MethodsExperimentationSQLPythonTableauData VisualizationAnalytical TechniquesPerformance ManagementStatistical Analysis

Soft Skills

Problem SolvingCommunicationCoachingStakeholder ManagementTeam Development

Tools & Technologies

AWSTableauPowerPoint

Industry Keywords

AnalyticsData ScienceQuantitative AnalysisBusiness InsightsExecutive Communication

Tech Stack

Tools & technologies

AWSPythonSQLTableau

About the role

Key responsibilities & impact

Problem solving skills: Ability to formulate a framework and roadmap to solve through complex and ambiguous business/product problems in partnership with various data functions, bringing structure to open-ended business requests and translating them into an analytical project approach.
Advanced analytics expertise: Hands-on expertise in experimentation, quasi-experimental and causal ML, and predictive (AI / ML) methods, used to deliver deep insights on outcome drivers and curated recommendations for strategic decision-making.
Strong analytical skills, coupled with the ability to form hypotheses, validate analytical techniques used by the team, and draw meaningful insights from disparate structured and unstructured data sources. The ability to understand data, process it, extract value from it, visualize it, and communicate insights to audiences of various backgrounds, including senior leadership.
People leadership: Hire, coach, and develop a team of analysts, managing performance through regular one-on-ones and performance reviews, and building individual growth plans that stretch their skills and prepare them for their next roles. Coach and mentor analysts to identify business opportunities, break down complex business problems into analytics workstreams, and validate their analytical approaches. Pivot team resources as priorities shift to keep the highest-value work moving.
Ability to seamlessly translate business and technical dimensions, ensuring all team deliverables are actionable and translated into business value, and that all work leads to enhanced enterprise and client outcomes.
Ability to synthesize and communicate the analytics perspective to technical and non-technical senior leadership. Deliver clear and concise presentations, and coach the team on advanced storytelling and executive communication, to showcase the value of analytics in solving complex CX challenges.
Expert stakeholder management skills: actively build and deliver the analytics roadmap and OKRs, frame ambiguous business problems for senior audiences, and bring experience collaborating through a matrixed organization for delivery.
Sets team-wide standards for experimentation, modeling and analytics insights, and ensures the team's technical work -- coding, version control, and modeling practices -- is reusable, well-documented, and built to a consistent standard.
Foresight and planning skillset: Ability to recognize ongoing and repetitive needs that can be operationalized to free up analytics bandwidth for higher-value work. Pre-empt requests, plan the roadmap for various deliverables and roadshows, and inform resourcing and capital-allocation decisions with recommended initiatives and trade-offs.

Requirements

What you’ll need

Minimum of eight years related work experience in Analytics and Data Science, including progressive growth from hands-on analytics to people leadership
Experience working in the AWS environment and proficient in SQL, Python, Tableau
Experience with predictive modeling, experimentation, quasi-experimental and causal ML methods
Experience directly managing analysts (not just mentoring), including hiring, performance management, and resourcing
Minimum of 5+ years experience building and presenting executive-level PowerPoint presentations
Master's degree in a quantitative or analytical field (such as Statistics, Data Science, Economics, Applied Mathematics, or Operations Research) preferred, or equivalent education, training, and/or experience; PhD a plus.

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Professional development opportunities