Head of Applied AI Product Enterprise Platforms

As the Head of Product, Applied AI, you will play a pivotal role in shaping the strategic direction of JPMorgan’s software engineer offerings across all lines of Business (LOBs) . Leveraging your product management experience and engineering roots, you will build and deliver AI solutions integrated with firmwide engineers platform to accelerate software engineering tasks such as coding, testing, troubleshooting as well as discovery of information.

Responsibilities:

Strategic Leadership

• Define and execute the strategic product roadmap for LLM and GenAI across all LOBs and Corporate Functions.

• Collaborate with senior leadership to align AI initiatives with overall business objectives.

• Stay abreast of industry trends, emerging technologies, and regulatory changes in the financial and AI domains.

Product Development

• Lead the ideation, design, and development of AI-driven products and solutions.

• Drive innovation in areas such as software development, troubleshooting, collaboration, plan and deign as well as security.

• Collaborate with UX/UI teams to ensure a seamless and intuitive customer experience

• Customer Experience and Journey

• Develop and refine customer journey maps to understand and enhance the end-to-end customer experience.

• Collaborate with cross-functional teams to identify touchpoints where AI can elevate meaning and usable data and personalize customer interactions.

• Implement AI solutions that contribute to a frictionless and delightful customer journey.

Product Metrics

• Define and track key product metrics related to customer engagement, satisfaction, and retention.
• Implement data-driven approaches to assess the effectiveness of AI features and functionalities.

• Work closely with data analytics teams to gain insights into user behavior and preferences.

• Customer Success:

• Establish and lead a customer success function to ensure clients derive maximum value from AI products.

• Engage with customers to gather feedback, understand pain points, and identify opportunities for improvement.

Team Leadership

• Influence and guide data scientists and Model creators with priority, clarity and requirements.

• Foster a collaborative and innovative work environment, encouraging continuous learning and skill development.

• Provide mentorship and guidance to team members, promoting a culture of excellence.

Stakeholder Engagement

• Collaborate closely with stakeholders across LOBs, including senior business leaders, technology teams, and regulatory affairs.

• Engage with Corporate Functions to understand their unique needs and tailor AI solutions to optimize their operations.

• Communicate effectively with both technical and non-technical audiences, translating complex concepts into business value.

Risk Management

• Work closely with risk and compliance teams to ensure that AI solutions adhere to regulatory requirements and industry standards.

• Implement robust controls for model governance, ethical AI practices, and data privacy.

Qualifications:

• Advanced degree in Computer Science, Data Science, or a related field. MBA is a plus.

• Strong understanding of AI and machine learning technologies, cloud computing, and data mesh architecture.

• Proven ability to lead and inspire cross-functional teams in a dynamic and fast-paced environment.

• Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders

• 15+ years’ experience in technical product management as head of product

• Relevant work experience leading development and adoption of planning, tracking and collaboration tools

• A strong understanding of User Experience, Agile methods and product management discipline

• Experience with Enterprise Planning tools such as Atlassian, Service Now, Apptio

• Strong leadership and organizational skills focused…