Manager, Product Analytics – Measurement Strategy & Self Service Analytics

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**** At ALSAC you do more than make a living; you make a difference.****##
*** We like people who are different...because we’re different, too. As one of the world’s most iconic and respected nonprofits, we know what it’s like to stand out. That’s why we’re looking r background, perspective, and desire to make an impact set you apart. As we work to help St. Jude cure childhood cancer, we're calling on the game-changers, innovators and visionaries to join our family.

Not just for the kids of St. Jude, but also for you. Because at ALSAC, we develop and celebrate our employees. So, bring your whole, authentic self and become part of our shared mission:
Finding cures. Saving children.(R)***##

Job Description We are seeking a
** Manager, Product Analytics – Measurement Strategy & Self‐Service Analytics
** to lead digital measurement strategy across the full product lifecycle—from discovery and build through launch and continuous learning. This role is
** not
* * a downstream reporting or dashboarding function. It is an
** embedded, hands-on measurement leadership role
** accountable for analytics readiness, data quality, and decision-grade insights at the moment of product launch.

This role sits within
** Enterprise Data & Intelligence (ED&I)
** and partners closely with
** Product, Engineering/MTS, Business Intelligence, and Marketing Technology
** teams to ensure that digital products launch with robust, well-governed, analytics-ready data.### What You’ll DoEnd‐to‐End Digital Measurement Strategy
* Own and lead digital measurement strategy across the full product lifecycle (discovery → build → launch → learning).
* Translate product intent, business objectives, and KPIs into
** implementation-ready measurement specifications**, including:  + Event and interaction definitions  + Data layer requirements  + Tracking standards and governance  + Validation and release-readiness plans
* Ensure analytics design is proactively embedded in product planning, not retrofitted after launch.

Adobe Analytics & Adobe Launch Leadership
* Lead hands-on
** Adobe Analytics and Adobe Launch
** design and enablement, including:  + Event design and taxonomy  + Data layer specifications  + Tagging architecture and standards  + Implementation validation and QA
* Be
** accountable for analytics readiness at launch**, ensuring digital data is accurate, complete, and decision-ready—not post-hoc reporting fixes.

Digital Data Collection & Implementation Partnership
* Partner closely with Digital Engineering/MTS to drive implementation readiness while maintaining clear ownership of measurement outcomes.
* Lead analytics validation in QA/UAT environments and perform release verification.
* Serve as the point of accountability for digital measurement quality and completeness f‐Service & Journey / Experience Analytics Enablement
* Enable scalable
** self-service reporting and journey-level analytics
** by ensuring:  + Well-modeled, analytics-ready clickstream data  + Consistent, documented measurement standards  + Datasets that support product, experience, and funnel analysis
* Reduce dependency on ad hoc analyst support by improving data usability and clarity.

Data Quality, Governance & Measurement Judgment
* Establish and maintain measurement standards, taxonomy, and documentation.
* Implement ongoing data quality monitoring and validation processes.
* Coach and mentor analysts on sound measurement judgment and analytics best practices.

Insight Generation & Product Impact
* Analyze user behavior and product performance to identify trends, insights, and opportunities.
* Partner with product teams to design, analyze, and interpret A/B tests and experiments.
* Translate insights into clear, actionable recommendations that improve product features, user flows, and overall experience.

People Leadership
* Lead, mentor, and develop a team of product analysts.
* Set expectations for analytical rigor, measurement integrity, and stakeholder partnership.###
*
* Job Requirements:

*** 5+ years of experience in digital product analytics or related fields. Bachelor’s degree in data science, Statistics, Computer Science, or a related field;
Master’s degree a plus.
* **…