Head of Applied AI Product for Enterprise Platforms
JPMorgan Chase
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, ServiceNow, Apptio Strong leadership and organizational skills focused on transformation and promoting delivery of business value
ABOUT US
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 transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans #J-18808-Ljbffr JPMorgan Chase- About the Role As a CBRE Enterprise Data Product Lead, you will own and drive the full lifecycle... ...at scale leveraging modern platforms including cloud data warehouses, AI tooling, and enterprise... ...products at enterprise scale. Apply in-depth knowledge of modern data...Platform
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