VP, Verizon Analytics Leader

VP, Verizon Analytics Leader

The VP, Verizon Analytics Leader role is an hands on leader who will provide strategic insights and a decision management framework to drive profitable growth for the Verizon portfolio. This role will partner cross functionally to deliver actionable insights around P&L performance, channel strategy, customer behavior, value prop measurement, segmentation, forecasting, lifecycle design and measurement, and portfolio diagnostics. The individual will provide thought leadership to accelerate new accounts and profitable purchase volume growth.

Essential Responsibilities:

• Collaborate with cross functional teams to combine product, channel, and credit strategies into a unified roadmap to deliver a unique customer experience to grow acquisition and increase customer retention
• Conduct analysis of product, value prop and channel performance to uncover insights that inform critical decision-making to drive profitable outcomes
• Partner closely with broader marketing organization, Finance and GM to execute integrated marketing campaigns leveraging personalization and segmentation. Measure and incorporate learnings in future campaigns
• Act as a trusted advisor to solve complex business problems and provide actionable recommendations based upon data driven insights
• Establish a test and learn culture and provide guidance and leadership for the design, analysis and measurement phases of campaigns and large-scale projects.
• Develop rigor around managing P&L performance to improve decision making and identifying profitable opportunities
• Ongoing assessment and measurement of product, channel and targeting strategies
• Implement and automate data visualization tools to measure and diagnose portfolio performance that allow stakeholders to understand trajectory of KPIs to enable better forecasting and management of the portfolio
• Measure total and category spend to determine financial impact on rewards and loyalty costs and targeting strategies to drive cardholder engagement
• Co-manage and mentor team of offshore analysts to ensure high quality execution and delivery of business insights to drive profitable growth
• Evangelize the value of client sharing its data assets to drive acquisition, account management and portfolio strategies to improve portfolio performance.
• Provide strategic thought leadership and influence the internal SYF client team and Verizon client team to implement profitable marketing and offer strategies rooted in analytics
• Develop business case presentations and action plans to drive business strategy; including targeting recommendations, test design, cross-sell optimization, product opportunities and cost/benefit analysis to review with client and SYF cross-functional team
• Own the analytics agenda and provide Innovative leadership to evolve the analytics strategy based upon the state of the business and potential opportunities
• Use data to tell a story that is actionable, backed by data and considers financial and operational implications
• Partner closely with client analytics teams to promote data share, collaborate on insights and deliver growth
• Perform other duties and/or special projects as assigned

Qualifications/Requirements:

• Bachelor's degree, or in lieu of degree a high school diploma and 9+ years of work experience establishing and managing marketing analytics in the financial services, credit card and/or payments industry
• A minimum of 7+ years of functional work experience to include:
• 5+ years using statistical analysis tools – SAS, SQL are required;
  Python is desirable.
• 5+ years leading large-scale analytics projects
• 3+ years of client facing experience, including influencing business decisions with stakeholders and business leaders (internal and client)
• 3+ years of leadership/managerial experience including direct management
• Ability and flexibility to travel for business as required

Desired Characteristics:

• Bachelor's degree in Mathematics, Statistics, Database Marketing or Quantitative Analysis preferred.
• Experience in consumer financial services, credit card payments, retail, fintech or consulting with a consumer data analytics focus.
• Advanced degree in a quantitative field or MBA with…