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

• Amazon also offers comprehensive benefits including 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. Learn more about our benefits at https://amazon.jobs/en/benefits .