Manager, Advanced Data Analytics - Mobile Analytics

The Vanguard Group•Charlotte, PA

6d•Hybrid

About The Position

This role is for an Advanced Data Analytics Manager focused on Mobile Analytics. The manager will be responsible for leading a team of analysts to solve complex business and product problems using advanced analytics techniques. This includes developing roadmaps, conducting experiments, applying causal ML and predictive modeling, and translating insights into actionable recommendations for strategic decision-making. The role also involves people leadership, stakeholder management, and setting team standards for analytical work. The manager will need to communicate effectively with both technical and non-technical senior leadership, synthesize complex information, and ensure that team deliverables translate into business value and enhanced client outcomes. A key aspect of the role is foresight and planning, identifying opportunities for operationalization to free up analytics bandwidth for higher-value work and informing resourcing decisions.

Requirements

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
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

Nice To Haves

Mobile / AI background
Adobe data tagging/capture knowledge
PhD a plus

Responsibilities

Formulate a framework and roadmap to solve complex and ambiguous business/product problems in partnership with various data functions.
Translate open-ended business requests into an analytical project approach.
Deliver deep insights on outcome drivers and curated recommendations for strategic decision-making using experimentation, quasi-experimental and causal ML, and predictive (AI / ML) methods.
Understand data, process it, extract value from it, visualize it, and communicate insights to audiences of various backgrounds, including senior leadership.
Hire, coach, and develop a team of analysts, managing performance through regular one-on-ones and performance reviews, and building individual growth plans.
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.
Seamlessly translate business and technical dimensions, ensuring all team deliverables are actionable and translated into business value.
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.
Actively build and deliver the analytics roadmap and OKRs.
Frame ambiguous business problems for senior audiences.
Collaborate through a matrixed organization for delivery.
Set team-wide standards for experimentation, modeling and analytics insights.
Ensure the team's technical work (coding, version control, and modeling practices) is reusable, well-documented, and built to a consistent standard.
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.
Inform resourcing and capital-allocation decisions with recommended initiatives and trade-offs.