Digital Banking Product Manager - Growth & Cross-Sell

Dale WorkForce Solutions; Fair Lawn (NJ); Hybrid; USD 144,000 - 176,000; Full time

Job summary

Dale WorkForce Solutions is seeking a Product Manager for Digital and Consumer Banking in a hybrid role based in Fair Lawn, NJ. You will lead the design, development, and execution of digital banking strategies to drive adoption, cross-sell opportunities, and an enhanced client experience for consumer products.

The role requires at least 5 years in consumer banking strategy, strong vendor vetting experience, and a data-driven approach to influence product decisions.

Qualifications

• Bachelor's degree (or higher) required; Master's preferred.
• Minimum 5 years of relevant experience in consumer banking strategy.
• Experience vetting and integrating digital vendors with legacy platforms.
• Strong data analytics and MIS to drive actionable recommendations.
• Excellent communication skills with all levels of management.
• Ability to work in a fast-paced, deadline-driven environment.
• Proficiency with PowerPoint and Excel.

Responsibilities

• Design digital banking experiences that drive revenue and improve app ratings.
• Develop a clear product strategy and lifecycle road map.
• Own go-to-market strategy and collaborate with cross-functional teams.
• Partner with BI, Finance, and Deposit Operations to monitor KPIs.
• Research fintech options to generate revenue or deposits.
• Analyze market trends to inform product vision and strategy.

Skills

PowerPoint

Excel

Education

Bachelor's degree or equivalent experience

Master's degree preferred

Job description

Dale WorkForce Solutions is seeking a Product Manager for Digital and Consumer Banking in a hybrid role based in Fair Lawn, NJ. You will lead the design, development, and execution of digital banking strategies to drive adoption, cross-sell opportunities, and an enhanced client experience for consumer products.

The role requires at least 5 years in consumer banking strategy, strong vendor vetting experience, and a data-driven approach to influence product decisions.