Join our dynamic team and unlock your potential by leveraging Databricks and cutting-edge AI/ML technologies to solve complex business challenges.

As the Director of Software Engineering at JPMorgan Chase within Corporate Technology, as part of Regulatory, Controls and Operational Risk Technology, you will lead a technical domain, overseeing teams, technologies, and projects across various departments. Your role requires leveraging your extensive knowledge in software, applications, technical processes, and product management to manage multiple complex projects and initiatives. Your expertise will be vital in promoting the successful delivery of innovative solutions and ensuring effective execution across your teams. As the key decision maker, you will cultivate a culture of collaboration and continuous improvement. This position provides the opportunity to significantly influence the organization’s technology strategy and operational excellence

Job responsibilities

Lead the Data Technology Solution Engineering team, overseeing the design, development, and implementation of advanced data solutionsDrive the integration of AI/ML and GenAI technologies into Chase's data strategy, enhancing decision-making and operational efficiencyCollaborate with cross-functional teams to identify business needs and translate them into innovative data solutionsFoster a culture of innovation, continuous learning, and excellence within the engineering teamStay abreast of industry trends and emerging technologies, ensuring Chase remains at the forefront of data technology advancementsCarries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operationsDelivers technical solutions that can be leveraged across multiple businesses and domainsInfluences peer leaders and senior stakeholders across the business, product, and technology teams

Champions the firm’s culture of diversity, opportunity, inclusion, and respect

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertiseProven experience in platform engineering, with engineering expertise in PythonExtensive experience in data technology solution engineering, with a strong background in AI/ML and GenAI technologiesProven leadership experience, with the ability to inspire and guide a team of skilled engineersStrong strategic thinking and problem-solving skills, with a track record of delivering impactful data solutions. Excellent communication and collaboration skills, with the ability to engage effectively with stakeholders at all levelsDemonstrated passion for innovation and a commitment to driving technological excellenceAdept at developing relationships with senior business executives; reputation for partnering across organization lines to mitigate risksExcellent organizational, project management, and multi-tasking skills with demonstrated ability to manage expectations and deliver results. Use of work management platform such as JIRA to ensure operational disciplineExperience in identifying and using data from large data sets to support enterprise scale initiatives via analytics (such as AI/ML techniques, Alteryx, Tableau, ThoughtSpot)Ability to collaborate with high-performing teams and diverse stakeholders to accomplish common goals, including experience working with geographically distributed and culturally diverse colleaguesExperience developing and maintaining applications in the public cloud (we use AWS). Excellent understanding of DevOps principles and SDLC best practices

 

Preferred qualifications, capabilities, and skills

Experience working at code level