Senior Director, Campaign Measurement
- Location SAN BRUNO, CA
- Career Area Marketing and Customer Insights
- Job Function Marketing
- Employment Type -
- Position Type -
- Requisition 1287092BR
What you'll do at
•Lead and inspire a team focused on the planning and execution of campaign and channel measurement, across all paid, owned and earned channels.
•Lead Multivariate and A/B testing as an ongoing discipline to constantly improve campaign audience targeting, partner placement, and messaging.
•Build and manage several incremental ROAS models, including MMM (Marketing Mix) and MTA (Multi Touch Attribution).
•Lead demand curve analysis and category and media investment scenarios.
•Drive customer segmentation analysis, including acquisition and retention measurement and LTV projections.
•Lead cross-device customer mapping to better understand the path of a customer.
•Leverage propensity modeling to help guide customer-centric targeting and retention strategies.
•Prioritize research projects to test elements of creative (personalization, product mix, message) that are optimal for given audiences
•Collaborate on measurement studies and performance tracking in partnership with key media partners to enhance our view of the customer.
•Provide optimization tools which recommend optimal channel mix, category mix, and device mix for a given campaign goal.
•Develop your team by modeling integrity, servant leadership, and continuous improvement.
•8 years of experience in campaign measurement and/or integrated marketing strategy, including managing teams and technical resources, managing priorities and defining measurable milestones.
•Proven experience driving incremental value and repeatable growth through the application of insights from thorough marketing analytics.
•Strong organizational skills, with the ability to effectively manage projects, communicate effectively, and be a self-starter.
•Demonstrated thought leadership and relationship building/management with internal stakeholders including Marketing, Finance, and Engineering.
•Experience working with and subjectively evaluating leading industry technology vendors, external publishers/networks and ad tech partners.
•Knowledge of the changing digital media landscape, including innovative measurement techniques for Mobile, Social, and Addressable Broadcast.
•Well versed in Advertising technology, including 3rd party ad-serving and tag management solutions and programmatic ad buying platforms.
•Extensive experience with A/B and Multivariate test design and implementation.
•Practitioner of Multi-touch attribution techniques.
•Action-oriented analysis and recommendations: Focused on business outcomes to drive all priorities and accountability.
•Traditional Marketing Mix experience.
•Experience leading customer segmentation strategy and LTV analysis, with emphasis on the Omni-channel customer.
•Significant experience communicating technical material to range of audiences, focused on the actionable output that will drive the business.
- 6 years' supervisory experience OR experience leading cross-functional teams.
- Bachelor s degree in Business, Finance, Accounting, Statistics, or related field and 6 years' experience in data analytics or related field OR 8 years' experience in
•10+ years managing highly technical teams.
•Experience managing in a highly matrixed organization, serving multiple stakeholders. Large catalog Retail or Merchandising eCom specific experience a plus.
•Experience and passion for working in a fast-paced agile environment, delivering functional features in small time durations.
•Ability to work through ambiguity and drive for clarity of direction.
•Experience in omni-channel marketing, attribution and ROI measurement, including performance and awareness of online advertising and TV campaigns.
•Experience with Mobile channel measurement.
•Strong analytical and quantitative skills and ability to translate findings into actions that align to the needs of the business.
•Experience in various data visualization tools, and an understanding of the strengths of each.
- 5 years' experience using cluster analysis techniques, simulation, inferential statistics, neural networks, or data mining techniques.
- Master's degree in Statistics, Information Systems, Business Administration, or related field.
Hello, Silicon Valley
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All the benefits you need for you and your family
- Multiple health plan options
- Vision & dental plans for you & dependents
- Associate discounts in-store and online
- Financial benefits including 401(k), stock purchase plans and more
- Education assistance for Associate and dependents