Product Manager - Machine Learning & Intelligence Operations
Wilmington, DE, United States
JPMorgan Chase & Co.
As a Product Manager in the Machine Learning and Artificial Intelligence (ML& AI) group, you will be an integral part of the team that innovates new product offerings and leads the end-to-end product life cycle. As a core leader, you will be responsible for acting as the voice of the customer and developing profitable products that provide customer value. Utilizing your deep understanding of how to get a product off the ground, you guide the successful launch of products, gather crucial feedback, and ensure top-tier client experiences. With a strong commitment to scalability, resiliency, and stability, you collaborate closely with cross-functional teams to deliver high-quality products that exceed customer expectations.
Consumer & Community Banking (CCB) Operations Product organization provides critical cross-line of business support across JPMC and serves as one of the largest product portfolios in CCB, delivering value to millions of customers and over 30,000 employees. As a product team member, your problem-solving skills will place you on the cutting edge of defining the vision, creating the strategy and building the roadmap to solutions that impact millions. Along the way, you’ll develop a deep, end-to-end understanding of the business and find an inclusive culture that welcomes diverse ideas and supports your individual growth and career mobility. Job responsibilities
- Develops a product strategy and product vision that delivers value to customers.
- Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap.
- Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition.
- Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability.
- Analyze contact volumes and customer journey/friction points across various channels to drive product feature prioritization.
- Lead agile product teams that include product managers, data scientists, machine learning engineers, and data analytics members.
- Manage existing product features and actively lead the research, definition, and development of new features to advance the product roadmap and performance.
- Partner with user research and business/operations teams to analyze and ideate customer experience, behavior, and improvement opportunities.
- Prioritize strategies and solutions to enhance self-service utilization and reduce customer contact volume.
- Stay abreast of industry trends, emerging technologies, and best practices in AI and machine learning to continuously improve product offerings.
- 5+ years of experience or equivalent expertise in product management or a relevant domain area
- Advanced knowledge of the product development life cycle, design, and data analytics
- Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
- Proven experience leading multi-disciplinary teams in a large, matrixed organization and fast-paced agile development environment.
- Demonstrated ability to make strategic decisions while candidly challenging the status quo to drive the right employee and customer outcomes.
- Applied experience in a variety of AI and machine learning techniques and technologies.
- Strong technical acumen: ability to independently manage large and complex relationships with internal technology partners.
- Ability to harness data and the power of analytics and customer insights for comprehensive strategy planning.
- Excellent communicator with the ability to fluidly interact with senior leaders, key stakeholders, employees, and third-party vendors.
- Strong problem-solving skills and the ability to think creatively and strategically.
- Demonstrated prior experience working in a highly matrixed, complex organization
- Experience working in or with customer service operations.
- Advanced degree in Computer Science, Engineering, Data Science, or a related field
- Experience with cloud-based AI/ML platforms and tools
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation awarded in recognition of 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.
Equal Opportunity Employer/Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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