Lead Technical Program Manager jobs at Jpmorgan in United States, Plano

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on data engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced in one or more programming language(s): Java, Python, React, Kotlin, AWS, AI/ML
• Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Ability to tackle design and functionality problems independently with little to no oversight
• Demonstrate strong leadership skills to effectively guide and motivate teams towards achieving organizational goals
• Practical cloud native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

• AWS Services, Dynamo, MongoDb

Job responsibilities:

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to promote outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to promote awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills:

• Formal training or certification on software engineering principles and 5+ years applied experience.
• Hands-on practical experience iOS application development.
• Experience in one or more programming language(s)
• Experience in automation and continuous delivery methods
• Experience in all aspects of the Software Development Life Cycle
• Experience in agile methodologies such as CI/CD, Application Resiliency, and Security
• Experience in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Proficiency in Swift, SwiftUI, UIKit, CoreData, Combine, and other iOS frameworks.
• Experience working in system design, architectural patterns (MVC, MVVM, VIPER, etc.), and design principles.

Preferred qualifications, capabilities, and skills:

• Knowledge of Cloud technologies (AWS, Firebase, etc.)
• Familiarity with TestFlight, Swift Package Manager, CocoaPods, and dependency management

As a Relationship Manager within Merchant Services, you will be primarily responsible for a select portfolio of Middle Market clients. You will partner closely with the firm-wide bank coverage team, including JPMorgan Payments Treasury Services. You will be accountable for maintaining strong relationships with key decision-makers and influencers within those assigned client relationships. You will meet JP Morgan Merchant Services’ profitability goals through strategic client management, re-contracting of existing business and identification, pursuit and acquisition of incremental business within the designated portfolio.

Job Responsibilities:

• Achieve firm-wide business objectives, including the annual revenue plan at target margins; by maintaining and growing existing relationships, identifying incremental business and maintaining high levels of client satisfaction
• Execute sales/support strategies in conjunction with other lines of business; including, but not limited to the Commercial Bank, JPMorgan Payments Treasury Services, FX and Card Services to optimize product and service delivery
• Acts as a principal point of contact to internal partners, and as the primary contact for the client relationship on behalf of Merchant Services
• Implement and support ongoing client strategy and co-coordinating cross-sell opportunities with other parts of JPMorgan Payments Treasury Services
• Clearly understand client needs by applying a strategic, consultative selling approach to cultivate payment optimization strategies, develop appropriate product solution recommendations and grow the business
• Prepare and deliver quarterly business reviews and analysis on strategic client relationship, as well as provide compelling financial and market analysis to support proposals to expand business
• Participate in external industry conferences to ensure market visibility for the JPMorgan franchise within the identified market segment.

Required qualifications, capabilities and skills:

• 8 + years of experience within a strategic relationship management role, business development role; or technology related experience with
• Demonstrated ability to grow and expand relationships with Fortune 500 caliber clients
• Experience and comfort level working with C-suite level client stakeholders
• Experience collaborating across multi-faceted financial institutions or similar institutions, especially with relationship bankers, product, service and operations partners
• Demonstrated ability to work across cultures with internal teams and external clients
• Exceptional relationship management skills, strong presentation skills and exceptional verbal and written communication skills
• Travel required-25%

Preferred qualifications, capabilities and skills:

• Bachelor’s degree or equivalent experience; MBA desired
• Expertise in specialized industries such as, with other financial institutions, fintech, billers, major and specialty retail and vertical knowledge within the payments industry is a plus

Job Responsibilities

• Work on some of the most complex problems imaginable at the intersection of two dynamic industries: Finance and AI
• Work with software engineers, data scientists, and Business stakeholders to develop and deliver products that can change the way our clients operate, how we service our clients, and how Banking is done today
• Working with stakeholders across the various businesses (Markets, Operations, Investment Banking, etc.) and functional groups (Legal, Technology, Middle Office, Business Management) to collect business requirements, create PRDs and ship products
• Managing and prioritize initiatives that are requested by stakeholders
• Provide comprehensive updates on product and use case status to senior management and stakeholders
• Maintain a comprehensive understanding of use cases across the MLCOE portfolio, facilitating connections among individuals addressing similar challenges

Required Qualification, capabilities and skills:

• 7+ years of Project Management experience building applications from conception to launch
• Experience capturing and analyzing requirements (internal and external) and ability to build strong partnerships with technical teams
• Experience deploying and managing chatbots with Large Language Models and without
• Able to identify critical requirements and potential gaps by understanding complex and interdependent processes
• Basic understanding of AI/ML concepts through experience or coursework
• Experience with working with engineers and data scientists towards building products is a must-have
• Experience with the end-to-end software engineering development lifecycle
• Excellent verbal and written communication skills
• Ability to work both independently and in highly collaborative team environments

Preferred qualifications, capabilities and skills:

• Experience with JIRA, MS Office suite, and various request ticketing systems
• Experience with agile methodology (running scrums, sprint planning, etc)
• Scrum Master certification a plus
• Prior experience as an AI/ML Project Manager
• GenAI experience is a plus
• Familiarity with data science model development lifecycle (data preparation, model training, etc.)

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and demonstrated applied experience
• Extensive experience of using common Android libraries such as Jetpack Compose and Kotlin Coroutines
• Practical knowledge of Android Platform Security best practices
• Experience of building reusable libraries, components and APIs
• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Proficiency in backend development languages such as Java or Python, with the ability to design and implement robust server-side logic
• Hands-on experience with database development and management
• Practical experience in backend cloud development and maintenance using platforms such as AWS, Kubernetes, or Cloud Foundry, including deploying, scaling, and monitoring cloud-based applications

Job Description:

As a Data Engineer - Databricks in our Digital Intelligence team, you will play a crucial role in designing, developing, and maintaining scalable data processing solutions using Databricks, Python, and AWS. You will collaborate with cross-functional teams to deliver high-quality data solutions that support our business objectives.

Job Responsibilities:

• Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
• Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems.
• Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
• Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
• Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture.
• Contribute to software engineering communities of practice and events that explore new and emerging technologies.
• Provide guidance to the immediate team of software engineers on daily tasks and activities.
• Set the overall guidance and expectations for team output, practices, and collaboration.
• Anticipate dependencies with other teams to deliver products and applications in line with business requirements.
• Manage stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements.

Required Qualifications, Capabilities, and Skills:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Formal training or certification on software engineering concepts and applied experience.
• Hands-on experience in data mapping, data architecture, and data modeling on Databricks.
• Extensive experience in AWS, design, implementation, and maintenance of data pipelines using Python, PySpark on Databricks.
• Proficient in Python and PySpark, able to write and execute complex queries to perform curation and build views required by end users (single and multi-dimensional).
• Strong understanding of front-end and back-end technologies, with a focus on creating seamless user experiences.
• Extensive experience in Databricks data engineering, data warehousing concepts, ETL processes (Job Runs, Data Ingestion and Delta Live Tables, Spark Streaming).
• Experienced in standing up and maintaining EC2/ECS instances, S3, Glue, and Lambda services.
• Experience in building Notebooks with complex code structures and debugging failed jobs.
• Proven experience in performance and tuning to ensure jobs are running at optimal levels and no performance bottleneck.
• Proven ability to deliver high-quality features into production systems in a rapid-paced, iterative development environment.

Preferred Qualifications, Capabilities, and Skills:

• Experience with machine learning and data science workflows.
• Familiarity with data visualization tools and techniques.
• Knowledge of data governance and security best practices.
• Experience in carrying out data analysis to support business insights.