Technical Manager, Digital Experience and Analytics

Job Description The Technical Manager, Digital Experience & Analytics is a senior individual contributor (IC) responsible for driving high-impact insights and scalable analytics capabilities across the ecommerce business. This is an Adobe Analytics-first role that bridges the gap between deep-dive behavioral analysis, technical data problem-solving, and analytics product development. Functioning as a strategic partner to the organization, this person will own complex analyses that identify growth opportunities and improve the customer journey. This role is intentionally more technical than a traditional analyst role, requiring the ability to operate independently across the data supply chain, from debugging front-end implementation to querying raw data feeds, to ensure data-driven decision-making at scale. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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Skills and Requirements Experience and Skills You'll Bring:

• 

Experience:

5-8+ years in digital analytics, specifically within an ecommerce or product analytics environment. • 

Adobe Expertise:

Advanced, hands-on mastery of Adobe Analytics (both Workspace analysis and implementation logic). • 

Technical Proficiency:

Strong SQL skills and experience working with semi-structured data and Adobe Data Feeds. • 

Front-End Knowledge:

Expertise in debugging analytics via browser network calls and data layers; familiarity with Tag Management Systems (e.g., Ensighten, Tealium, GTM). • 

Strategic Communication:

Proven ability to translate complex, technical data into a clear narrative for non-technical stakeholders.

Core Responsibilities:

1. Advanced Analysis & Insight Generation • 

Behavioral Deep-Dives:

Conduct sophisticated analyses of customer behavior and multi-channel conversion funnels to identify where customers experience friction or drop off. • 

Opportunity Identification:

Quantify opportunities to improve conversion, engagement, and overall customer lifetime value (LTV) through clickstream and supporting data sources. • 

Impact Evaluation:

Measure the performance of website changes, UX initiatives, and new feature releases, translating findings into actionable recommendations for executive stakeholders. • 

Strategic CRO Support:

Act as the primary analytical partner for the Conversion Rate Optimization (CRO) program, providing the data-driven "why" behind test hypotheses and results. 2. Technical Analytics & Data Problem Solving • 

Independent Debugging:

Proactively identify and resolve data discrepancies across platforms, including tagging issues, bot traffic, and browser/device-specific impacts. • 

Validation & QA:

Utilize browser developer tools and tag management systems to validate data layers and debug data collection without heavy reliance on engineering. • 

Advanced Data Retrieval:

Leverage Adobe Data Feeds and SQL to perform complex analysis beyond the limitations of standard reporting interfaces. • 

Measurement Gaps:

Identify white spaces in current tracking and recommend scalable implementation solutions to capture emerging customer behaviors. 3. Analytics Productization & Reporting • 

Scalable Dashboards:

Design and maintain automated, cross-source reporting frameworks in Adobe Analysis Workspace and BI tools (e.g., Tableau, Power BI). • 

Data Democratization:

Standardize KPIs and methodologies to improve the accessibility and usability of analytics for non-technical business owners. • 

Methodology Governance:

Establish consistent definitions and reporting logic across the ecommerce and marketing teams to ensure a "single source of truth." 4. Cross-functional Partnership & Operations • 

Strategic Advisory:

Collaborate with Product, UX, and Engineering teams to evaluate the performance of initiatives and define measurement strategies for new features. • 

Intake Management:

Manage the prioritization of analytics requests, ensuring the team stays focused on the highest-impact business questions. • 

Process Improvement:

Maintain documentation of workflows and SDRs (Solution Design Reference) to improve overall analytics governance and tool usability.