Sr. Manager, Data Analytics Implementation
Position Overview
We are seeking a Sr. Manager, Data Analytics Implementation to join a high-performing Data Analytics team supporting complex digital analytics initiatives. This role will focus on leading data collection, analytics implementation, reporting, and experimentation practices while providing hands‑on technical leadership and strategic guidance.
The ideal candidate brings deep expertise across Adobe Experience Platform (AEP), Customer Journey Analytics (CJA), analytics implementation, data collection, tagging, and MarTech, with the ability to lead complex implementations from strategy and design through deployment and ongoing optimization.
- 3+ month contract, likely extension
- 4x/week onsite in Katy, TX
- Pay $80/hr
Key Responsibilities
- Lead AEP-Centric Initiatives: Drive the implementation, customization, and automation of data collection processes within Adobe Experience Platform (AEP). Develop comprehensive measurement strategies and ensure seamless integration and data flow across AEP services and connected systems.
- Own Analytics Implementation: Lead the full lifecycle of analytics implementations across complex digital ecosystems, including environments with multiple websites/apps, extensive custom tagging, and diverse implementation methodologies.
- Lead CJA Implementations: Manage end-to-end implementation of Adobe Customer Journey Analytics (CJA), including planning, solution design, configuration, deployment, and post-implementation support. Apply journey, path, and cohort analysis to generate actionable customer insights.
- Manage AEP Integration & Data Collection: Work hands‑on with Adobe Data Collection, Web SDK, Mobile SDK, AEP schemas, datasets, identity management, and event‑driven data layers (EDDL). Integrate data from Adobe Analytics, Adobe Target, Adobe Campaign, and third‑party systems into AEP and CJA.
- Provide Technical Leadership: Serve as a hands‑on technical leader for analytics and data framework implementations leveraging AEP, Adobe Target, Adobe Data Collection, and Adobe Mobile SDK.
- Develop Technical Tagging Requirements: Design and implement tagging requirements across web, mobile, and application environments. Translate Solution Design Requirements (SDRs) into accurate scripts and technical implementations.
- Develop & Test Code: Perform code modifications, testing, and deployment to ensure accurate and reliable digital data collection.
- Enhance Digital Data Layers: Develop and enhance digital data layer requirements, including event‑based data structures such as ACDL, using tag management solutions including Adobe Data Collection, Ensighten, and Tealium.
- Lead QA & Deployment: Oversee QA, validation, and deployment processes within Agile environments, leveraging tools such as AEP Debugger, Charles, HTTPWatch, WASP, or similar solutions.
Preferred Qualifications
- Experience implementing AEP Real-Time CDP (RTCDP)
- Experience implementing Adobe Journey Optimizer (AJO)
- Experience developing and implementing A/B testing and experimentation through Adobe Target
- Experience configuring and building BI dashboards using Tableau, Looker, or Power BI
- Experience with Google BigQuery and developing data ingestion pipelines across multiple online and offline data sources
- Experience with Adobe I/O and APIs, including connecting Adobe products programmatically using Swagger, Postman, or similar API tools
Requirements
- Bachelor's degree in Computer Science, Information Systems, or a related discipline, or equivalent professional experience; related Master's degree is a plus
- 10+ years of analytics experience, including hands‑on work with tag management systems, advertising pixels, and digital tracking implementations
- 4+ years of AEP implementation experience, including services such as CJA, AJO, and/or RTCDP
- 1+ year of experience managing analysts and/or developers
- Strong understanding of cloud-based information systems, debugging, troubleshooting, and the MarTech ecosystem
- Experience leveraging APIs for reporting and workflow automation
- Foundational knowledge of Google BigQuery, Node.js, CSS, Python, Domo, and machine learning concepts