Director Product Strategy, Credit Cards

About the Role

Zeta has built the full range of Next-Gen technology and systems needed to operate high RoE credit card programs including Credit Card Processing, Origination, Mobile Apps, Lifecycle Marketing, Line Management, Conversational AI, Contact Center, Operations, Analytics, Rewards, Repayments and Collections, to multiple mid to large Financial Institutions in the US.

As Director Product Strategy for Credit Cards you will report into our Product and Engineering Leadership, and work with a team of product managers, engineers, solution architects to define, design, and manage the roadmap and strategy of several of the Platforms described below

Few of the Products you will own Strategy of

• 360 Retail Mobile App – 360 Retail is Zeta’s mobile app offering the best in class digital experience on Android and iOS for Transaction Management, Card Management, Account Management, Repayment, Rewards, Family Cards, Credit Health and much more
• Compliance Center – This unique one of its kind product, provided by Zeta to our FI customers, automatically performs daily checks on their entire credit card portfolio for any violations of Reg Z, Card Act, SCRA, MLA and all other applicable regulations and alerts them on the same
• Power Center – The power center provides pre-packaged reports encompassing Executive and Operational dashboards for monitoring the Business and Operational health of any credit card business. The reports include detailed Cohort and Trend metrics across all Credit Card Portfolio KPIs including Acquisition, Activation, Account Metrics, Balances, Spends, Delinquency Cycles, Income (Interest, Interchange, Fee), Expenses (Charge-Offs, Systems), Collections, RoA
• Merlin Conversational AI – Zeta is leveraging the latest in Conversational AI to build the most sophisticated Omnichannel bots for Credit Card Consumers that go substantially beyond just responding to any and all support requests, and actually provide meaningful insights acting as financial advisors and agents of Retail Consumers
• Neutrino Decisioning Suite – Zeta is leveraging the latest in Machine learning algorithms – specifically Decision Tree algorithms and Neural Net algorithms to build machine learning models for optimization of Portfolio Management, Line Management and Collections outcomes

Responsibilities

For the list of Products above it will be your responsibility to –

• Optimize Performance KPIs of our Customers – Assist on defining the backlog of features that should be developed in our platforms above to maximize portfolio RoA
• Prioritize the Product Backlog – Pick the highest priority capabilities and modules we should add to each product to maximize RoA, RoE, reduce Cost to Income Ratio and improve Customer NPS of Zeta’s Bank Customers
• Define Product and Feature Specs – Define the specifications of the features being added
• Oversee Development and Implementation – Work with a lean and effective team of product managers, and software engineers to implement the above capabilities
• Monitor and Measure the performance of the Platforms to continuously tweak and improve them

Experience

The ideal candidate has a strong technology bent and aptitude and hands-on experience across defining, launching, implementing and optimizing the full Program Management lifecycle of a Credit Card including –

• Underwriting & Portfolio Management – Understanding underwriting and portfolio growth practices
• Account and Transaction Processing – Understanding of the transaction processing lifecycle processes (auth, clearance, settlement) and Account lifecycle processes (billing, delinquency, aging etc)
• Operations – Understanding of operational processes including Fraud Operations, Dispute Operations, Production Operations, Application Processing Operations, Account Operations, Settlement Operations. In depth understanding of the KPIs to measure and the pitfalls to watch for
• Customer Support – Subject Matter expertise on the topics a typical Credit Card Contact Center covers
• Collections – Experience and knowledge of collection strategies including communication, offers and hardship plans
• Financial Modeling – Understanding of multi-year, Credit Card Financial models (Income Statement and Balance Sheet)
• Indepth Systems knowledge – Indepth knowledge of vendors and capabilities across all relevant systems including – Application Processing, Loan Origination, KyC / IDV, Processing, Digital Apps, Servicing Apps, Collections, Fraud, Analytics etc

Skills and Attributes

• Analytical and Data Driven
• Engineering Mindset – Ability to operate from first principles, heavily leverages tools and technologies, high tech aptitude
• Hands-on, Roll up your sleeves and get into the details attitude
• Operational Rigor
• Experience and Qualifications
• Demonstrable experience (preferably 10+ years) across running one or more Credit Risk, Portfolio Management, Servicing, Collections, and Implementation for large-sized credit card portfolios
• Degrees in Engineering / Economics / Finance / Statistics desirable