Director of Software Engineering - Risk & Compliance Platform (AI/ML)

he 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 solutions

• Drive the integration of AI/ML and GenAI technologies into Chase's data strategy, enhancing decision-making and operational efficiency

• Collaborate with cross-functional teams to identify business needs and translate them into innovative data solutions

• Foster a culture of innovation, continuous learning, and excellence within the engineering team

• Stay abreast of industry trends and emerging technologies, ensuring Chase remains at the forefront of data technology advancements

• Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations

• Delivers technical solutions that can be leveraged across multiple businesses and domains

• Influences 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 expertise

• Proven experience in platform engineering, with engineering expertise in Python

• Extensive experience in data technology solution engineering, with a strong background in AI/ML and GenAI technologies

• Proven leadership experience, with the ability to inspire and guide a team of skilled engineers

• Strong 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 levels

• Demonstrated passion for innovation and a commitment to driving technological excellence

• Adept at developing relationships with senior business executives; reputation for partnering across organization lines to mitigate risks

• Excellent 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 discipline

• Experience 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 colleagues

• Experience 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