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Sr. Manager, Digital Analytics
ADT
- Boca Raton, Florida, United States
- Boca Raton, Florida, United States
About
Duties and Responsibilities
Adaptive Segmentation & Behavioral Intelligence
Design and operationalize adaptive behavioral segmentation models to dynamically classify users by engagement, intent, and conversion propensity.
Develop scalable segmentation logic that informs targeting, experimentation, and journey optimization.
Ensure segmentation evolves continuously with behavioral signals rather than relying on static rules.
Diagnostic & Causal Analytics
Lead advanced analysis of user behavior and funnel performance to identify trends, bottlenecks, and key performance drivers.
Apply diagnostic and causal methodologies to quantify the impact of campaigns, content, and user interactions on lead generation outcomes.
Translate analytical findings into clear, prioritized recommendations for marketing and digital experience teams.
Analytics Engineering & Decision Systems
Drive the operationalization of analytical insights into scalable, reusable analytics products and decision systems.
Standardize and automate core analytical methodologies to enable consistency, speed, and repeatability.
Ensure solutions align with enterprise data architecture and governance standards.
Journey Intelligence & Path Optimization
Oversee path and journey analysis to identify friction points and conversion accelerators across the user experience.
Develop scoring frameworks (e.g., engagement, intent, visit value) to prioritize optimization opportunities.
Partner with experimentation teams to embed journey and behavioral intelligence into test design and execution.
Marketing Intelligence Systems & Performance Infrastructure
Guide the evolution of TDIS (Trading Desk Information System) into a scalable marketing intelligence platform.
Oversee integration of marketing data sources, APIs, and pipelines to ensure data accuracy, accessibility, and automation.
Support incorporation of performance signals (e.g., site performance, behavioral telemetry) into analytics frameworks.
Team Leadership & Capability Development
Lead, mentor, and develop a team of analytics and technical professionals, fostering strong analytical rigor and engineering discipline.
Establish standards for scalable analytics development, automation, and insight generation.
Build team capabilities in Python‑based modeling, advanced analytics, and marketing intelligence systems.
Cross‑Functional Collaboration
Partner with Digital Experience, Marketing, and Optimization teams to embed analytics into experimentation and acquisition strategies.
Collaborate with data engineering and IT partners to align on data architecture, integration, and governance.
Act as a bridge between business objectives and technical implementation, ensuring analytics solutions drive measurable impact.
Additional duties as assigned
Skills and Competencies
Adaptive Segmentation Expertise: Ability to design and scale dynamic behavioral segmentation strategies.
Analytics Engineering Mindset: Strong capability to translate exploratory analysis into automated, reusable systems.
Diagnostic & Causal Thinking: Ability to identify performance drivers and quantify impact with rigor.
Leadership & Coaching: Proven ability to build and develop high‑performing analytics teams.
Business Translation: Skilled in communicating insights to influence marketing strategy and investment decisions.
Systems Thinking: Understands how segmentation, experimentation, data infrastructure, and analytics interconnect.
Minimum Qualifications
7+ years of experience in digital analytics, analytics engineering, or data‑driven marketing.
2+ years of experience leading analytics or technical teams.
Bachelor’s degree in Marketing Analytics, Business Analytics, Mathematics, or a related quantitative field.
Strong expertise in diagnostic and causal analytics methodologies.
Experience building scalable analytics solutions using Python and SQL.
Proficiency in digital analytics platforms (e.g., GA4, Adobe Analytics).
Experience designing segmentation, scoring, or behavioral models.
Proven ability to translate complex analysis into actionable business insights.
Preferred Qualifications
Experience with cloud‑based data environments (e.g., GCP, AWS).
Familiarity with experimentation platforms and statistical validation methods.
Experience with data integration, ETL processes, and API‑based data ingestion.
Experience evolving reporting into scalable marketing intelligence systems.
Location
Our office follows 4 days onsite and 1‑day remote schedule.
Relocation Relocation assistance will be provided for qualified candidates residing outside the South Florida region (including Southeast, Southwest and South‑Central Florida).
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Languages
- English
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