[Hiring] VP, Analytics & BI @Netspend

Role Description

• Develop an ongoing data science roadmap to shape Ouro Global’s future while solving business challenges.
• Serve as an objective, agnostic advisor, leading and overseeing all data & analytics projects that support critical decision-making across Ouro Global functions.
• Work closely with multiple senior leaders (particularly the VP, Lifecycle Marketing) to ensure their growth agenda and business decisions are supported with timely, accurate, actionable data and insights.
• Be a senior and visible leader inside Ouro Global and a key member of the senior leadership team, overseeing groundbreaking data science, research, and analysis that solves business challenges at the highest levels.
• Surface valuable insights from complex data sets, derive relevant insights, and tell colleagues a compelling story about what it means to the business.
• Oversee Analytics and BI for Ouro Global’s marketing, ensuring strong insight and decision support for all channels.
• Champion/challenger and multivariate testing analytics to assist in delivering exceptional customer experiences, new product launches, and site enhancements.
• Drive the development of more accurate and sophisticated multi-touch attribution models to determine credit for traffic, acquisition, and conversion.
• Serve as the architect of recommendations for best-in-class omnichannel campaigns and/or other digital initiatives.
• Deepen Ouro Global’s understanding of customer needs and build relationships across the senior leadership team.
• Work with cross-functional leadership to identify new areas of expertise and create new solutions, services, and IP.
• Forecast customer segment, campaign, and channel performance with business leaders.
• Develop standardized, automated reports and ad hoc requests that monitor customer journeys and behaviors.
• Partner with IT to optimize how data and customer views/files are organized and utilized across the organization.
• Own critical direct response models to maximize ROI and evolve towards a more sophisticated Multi-Touch Attribution Marketing Mix Model.
• Define concrete objectives and measures of success for all digital and traditional activities and programs.
• Lead efforts to identify, engage, and hire new talent in the Analytics, Data Science & BI function.

Qualifications

• Master’s degree in Engineering Systems Management, or a related field plus twelve (12) years of relevant experience.
• Building and productionalizing AI/ML models in the marketing space in the ecommerce industry.
• Building and leading analytics teams.
• Experience managing large teams of highly skilled data scientists and data engineers.
• Lead several strategic initiatives requiring communication with different parts of the organization.
• Seasoned Marketing analytic professional with experience in marketing attribution and media optimization.
• Experience with all major credit bureaus (Equifax, Experian, TU) and alternate bureaus like NCTUE.
• Accomplished data-driven senior analytics leader with proven ability to generate large-scale consumer demand.
• Experienced with SQL, Python, R, SAS, and Tableau.
• Hands-on experience building analytics solutions using data to understand financial impacts of decisions.

Requirements

• Telecommuting permitted from anywhere in the U.S.
• Relocation may be required.
• Domestic travel up to 10% may be required.