Sr. Marketing Measurement Manager , Amazon Leo

Responsibilities

• Own the measurement and learning roadmap — what the business needs to know, in what priority, and by when — sequenced against launch and segment milestones, and run the mechanisms that keep marketing, data, and agency partners on one plan.
• Translate business questions into measurement requirements that partner teams build to, and arbitrate between competing requests when capacity is the constraint.
• Own the attribution and marketing mix modeling roadmaps. Partner with data science and data engineering on building the capability, and own how the results are interpreted, published, and adopted.
• Own the experimentation agenda — what the business needs to learn and the decision each test has to answer. Economics and data science own experimental design and statistical analysis.
• Own the brand tracking program and program manage the voice of customer program end to end, across consumer, business, and government segments, partnering with research on survey design.
• Own the reporting agenda — the metrics leadership sees in weekly and monthly business reviews, the executive scorecard, and the requirements behind every dashboard, working with intelligence engineering to build them.
• Drive alignment on metric definitions, taxonomy, and data governance across segments and regions, and own the data requirements measurement depends on — tagging, taxonomy conformance, clickstream coverage, and quality gates. Data engineering and marketing technology own the implementation.
• Own the measurement tooling roadmap and vendor evaluation, including the recommendation to keep, replace, or retire.

Requirements

• 5+ years of professional non-internship marketing experience
• Experience with attribution methodology and marketing experimentation — enough depth to write requirements, judge a method's limits, and interpret results, without owning the modeling.
• Experience using data and metrics to measure impact and determine improvements.
• Experience defining requirements for, and delivering through, data engineering and data science partner teams.
• Experience building, executing, and scaling cross-functional marketing programs.
• Experience communicating measurement results and recommendations to senior leadership.

Preferred

• Experience measuring marketing across more than one segment — consumer, business, or public sector — with a distinct approach for each.
• Experience standing up marketing measurement for a pre-launch or newly launched business, rather than operating measurement that already exists.
• Experience commissioning and interpreting marketing mix modeling and geo or market-level incrementality tests, including communicating the tradeoff between clean measurement and forgone revenue.
• Experience running a brand tracking program with an external research vendor.
• Experience managing a voice of customer or survey program across multiple owning teams.
• Experience with marketing and data platforms — web analytics, customer data platforms, marketing automation, campaign platforms, and a cloud data warehouse.
• Experience in technology, media, or telecommunications; satellite internet; or subscription services.
• Advanced degree in a quantitative field.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.