Digital Channels and Connectivity Solutions- Payments- Vice President

Shape the future of product delivery while crafting solutions that enhance and optimize customer experiences. Lead end-to-end processes, manage dependencies, and liaise with stakeholders as part of a team at the forefront of innovation.
  As a Product Delivery Manager in Digital Channels and Connectivity Solutions within Payments, you work to enhance and optimize the way products are delivered to customers. As a key member of the team, you create solutions and efficiencies that enable successful implementations in an expedient and organized way.    Our J.P. Morgan Access® suite of digital channels and connectivity solutions provides cash management services via online, mobile, file transmission, APIs and integrations. We cater to a wide range of clients, including Corporate, Commercial, Business Banking, and Wealth Management segments. Our goal is to meet clients at every stage of their digital journey and guide them towards success with our best-in-class solutions.
  Job responsibilities

• Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination
• Leads the completion of change management activities across functional partners and ensures adherence to the firm’s risk, controls, compliance, and regulatory requirements
• Effectively manages timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners 
• Manages overall governance process to ensure consistent and timely data delivery
• Develops approach to federate and simplify data distribution for various internal reporting use cases such as client targeting, usage and key business drivers
• Tests the effectiveness and accuracy of new data sources and data gathering techniques 
• Performs advanced analytics to optimize customer experiences, improve revenue generation, uncover data insights and drive other business outcomes
• Works with large, complex data sets and solves difficult, non-routine analysis problems, applying advanced analytical methods as needed
• Prototypes machine learning algorithms iteratively with the goal of providing insights at scale
• Develops visualizations to make complex analyses accessible to a broad audience

Required qualifications, capabilities, and skills

• 5+ years of experience or equivalent expertise in product delivery or a relevant domain area
• Demonstrated ability to execute operational management and change readiness activities
• Strong understanding of delivery and a proven track record of implementing continuous improvement processes
• Experience in product or platform-wide release management, in addition to deployment processes and strategies 
• Extensive knowledge of data management, technical design, and data analytics
• Proven ability to influence the adoption of key product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
• Exceptional stakeholder management skills across various teams and ability to communicate effectively with stakeholder at all levels
• A track record of demonstrating a high level of personal initiative, setting and achieving challenging goals, demonstrating entrepreneurial leadership, embracing ambiguity and navigating through change
• Proven ability to write SQL optimizing to handle extremely large data sets
• Confidence in writing Python and using data science libraries (e.g. Pandas, NumPy, scikit-learn, Matplotlib, Seaborn, and TensorFlow/Keras/PyTorch)
• Practical experience gathering requirements, designing, deploying, and maintaining Tableau dashboards 

Preferred qualifications, capabilities, and skills

• Proficient knowledge of the product development life cycle, design, and data analytics
• Confidence in using machine learning techniques and advanced analytics (e.g. regression, classification, clustering, time series, causal inference, and natural language processing)
• Practical experience using Snowflake to query and distribute data
• Experience presenting analytics based solutions and products to a senior non-technical audience

 

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transac