Strong vendor relationship skills and adept at program governance. Strong and proven analytical capabilities building and implementing data analysis programs and practices at large organizations. In addition to minimum education, 10 years’ experience in the digital & financial services industry building and improving analytics capabilities, with strong product knowledge of technologies, trends and channelsĮxperience presenting strategies to executive management and influencing multiple stakeholdersĮxperience in building a road map for analytics including working with stakeholders, prioritizing projects and connecting team to achieve a common goalĭata science leader with experience in swath of different modelling including linear regression, neural networks and deep learning Manage a growing team of collaborative individuals committed to the vision of the organizationīachelor’s degree in statistics, engineering or related field required Prepare business cases to explain expected costs and benefits of various analytics technological and/or ai/ml projects and present them to executive management for consideration and reviewĪdvises leadership on industry trends and developments for key considerations Manage or establish vendor relationships and performance service level agreements Leverage data strategy to drive business strategy and recommendations for analytical solutions that help clients understand customer behavior and manage risks Partner with other data teams to source and analyze data including but not limited to cardholder journeys, transactions, spend & payment behaviors, credit limit usage, ivr, customer complaints and nps, call center speech to textĮvaluate industry capabilities, trends, and auto ai/ml providers and recommend an organizational strategyĬontinuously transition repeatable analysis into automated reporting and improved data visualization This role will oversee all consumer/business digital data sourcing and strategy to support client-facing as well as internal team’s analytics solutionsWork closely with numerous operational business lines, it departments, third party vendors and others as needed to develop data sources and analytics capabilities.ĭevelop and maintain strategic data analytics roadmap for the organization and collaborate with data management and engineering teams to oversee through implementationĬreate data products with embedded analytics solutions that support different internal and client teams to be data driven, with ease of analyzing and generating insights Initial key areas of focus include data models involving staffing, contact center, customer journeys, and attribution etcEstablish a vision that aligns with modern technology trends, map to current state and drive digital and data analytics transformation throughout the organizationIdentify and leverage the best-of-breed tech stack as it fits the organization needs. Cardworks servicing (`cws`) is one of the largest privately-held provider of outsourcing services for bankcard-related products to banks and non-bank lenders in north americaCws offers management expertise across the credit spectrum and supports both mastercard and visa accounts as well as a variety of private label debit, credit, stored value, and customer bankcards.Īt cardworks, our mission is to provide customized and compliant servicing and asset management to our clients to produce their desired end-customer experienceThe vp analytics role makes it possible for all employees at cardworks to achieve that mission in their daily efforts by supporting the development and execution of the enterprise data & analytics strategyThis organizational leader scope includes developing and driving the vision for how data can transform company strategy, and hands on leadership necessary to grow a team through the startup phase into a mature organizationThe role is responsible for end-to-end strategy beginning with data ingestion and leading to implement advanced machine learning models.
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