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Lead Marketing Manager
AT&T. Use customer and household data to identify, characterize, quantify, and proactively discover audiences for CRM and Precision Marketing opportunities across the full lifecycle .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in advanced SQL for data analysis and audience definition, with a strong focus on translating complex business questions into actionable insights. Proficient in leveraging customer data for CRM and Precision Marketing strategies, ensuring effective communication across marketing and analytics teams.
Highest-signal resume keywords
Advanced SQL SkillsAudience Definition DevelopmentCustomer SegmentationPredictive ModelingExperience with Databricks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisAudience SegmentationBusiness Logic TranslationIncremental MeasurementTest/Control MethodologiesPredictive ModelingOpportunity SizingCustomer IntelligenceAnalytical Requirements DefinitionComplex Business Question Translation
Soft Skills
Analytical ThinkingCritical ThinkingClear Communication
Tools & Technologies
DatabricksSnowflakePythonRTableauPower BIAdobe Experience PlatformAdobe Journey Optimizer
Industry Keywords
CRMLifecycle MarketingCustomer SegmentationTelecommunicationsSubscription BusinessesMarketing AnalyticsData ScienceMarketing StrategyAudience DevelopmentCustomer Journey Orchestration
Tech Stack
Tools & technologiesPythonSQLTableauGo
About the role
Key responsibilities & impact- Use customer and household data to identify, characterize, quantify, and proactively discover audiences for CRM and Precision Marketing opportunities across the full lifecycle
- Develop a systematic, data-driven approach for comparing new opportunities against existing ones based on audience size, customer value, business value, and incremental potential
- Convert business questions into analytical requirements, defined populations, and executable business logic
- Independently query and analyze customer, product, account, tenure, behavioral, transactional, and engagement data using advanced SQL
- Translate analytical findings into clear, repeatable audience definitions and business rules, progressively owning the path from definition through activation
- Provide evidence marketing and journey owners need to prioritize opportunities
- Recommend eligibility, exclusion, entry, exit, and treatment conditions while journey and marketing owners finalize strategy
- Partner with Analytics on test/control design and incremental measurement
- Identify data gaps and ensure opportunity definitions support continuous learning
- Partner across the Marketing Growth Organization, including Research, Analytics & Insights, Digital Personalization, MarTech, Go-to-Market Execution, the Chief Data Office, and key agency partners
- Initially partner closely with marketing analysts, with expected growth toward owning opportunity definition, analytical execution, and measurement
Requirements
What you’ll need- Bachelor’s degree in Analytics, Data Science, Economics, Statistics, Information Systems, Business, Marketing, or a related field
- 5+ years of experience in marketing analytics, customer intelligence, data science, or a related data-driven discipline
- Advanced SQL skills with demonstrated ability to independently query and analyze large customer-level datasets
- Experience translating complex business questions into analytical approaches, sized customer populations, and actionable recommendations
- Experience developing audience definitions, eligibility criteria, exclusions, segmentation logic, or business rules, and comparing or sizing marketing opportunities
- Strong analytical and critical-thinking skills with the ability to move beyond reporting to determine what the data means and what action it supports
- Working knowledge of test/control methodologies and incremental measurement
- Hands-on experience with Databricks, Snowflake, or a similar large-scale analytical platform
- Understanding of CRM, lifecycle marketing, customer segmentation, and Precision Marketing
- Ability to clearly communicate analytical findings and business logic across Marketing, Analytics, Data, and Technology teams
- Experience in telecommunications, subscription businesses, or other industries with complex customer lifecycle and eligibility rules
- Experience with Python, R, Tableau, or Power BI
- Experience with customer journey orchestration, next-best-action, decisioning, or Adobe Experience Platform / Adobe Journey Optimizer
- Experience with predictive modeling, opportunity sizing, or growth forecasting
- Consulting or agency experience in audience development, customer analytics, or marketing strategy
Benefits
Comp & perks- Medical/Dental/Vision coverage
- 401(k) plan
- Tuition reimbursement program
- Paid Time Off and Holidays (at least 23 days of vacation each year and 9 company-designated holidays)
- Paid Parental Leave
- Paid Caregiver Leave
- Additional sick leave beyond what state and local law require may be available but is unprotected
- Adoption Reimbursement
- Disability Benefits (short term and long term)
- Life and Accidental Death Insurance
- Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
- Employee Assistance Programs (EAP)
- Extensive employee wellness programs
- Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone