Product Associate, Machine Learning, Data Modernization and Quality
Wilmington, DE, United States
JPMorgan Chase & Co.
Job responsibilities
- Supports the development of our product strategy and roadmap
- Collects and analyzes metrics on product performance to inform decision-making
- Contributes to solution discovery through collaboration with cross-functional teams to identify potential solutions that address user needs and align with business goals
- Participates in product planning sessions, contributes ideas and insights, and assists in the execution of product initiatives, ensuring timely and successful product launches
- Collaborates with the product manager to engage stakeholders and define user workflows, requirements, stories, and customer value
- Partner with data analytics personnel across the bank to consolidate requirements for the data product needed as part of Transcription & Conversational Insights and collaborate with Controls/Risk, Audit, Compliance, Data & Model Governance, and Technology to ensure readiness to deliver on the product roadmap
- Coordinate activities of the agile product teams that include research, design, data scientists, machine learning engineers, and data analytics members
- Manage existing product features and collaborate on the research, definition, and development of new features to advance the product roadmap and performance
- Assist in maximizing product value delivered through backlog creation, management, and prioritization of epics and user stories
- Partner with user research and business/operations teams to analyze and ideate customer experience, behavior, and improvement opportunities
- Refine strategies and solutions to enhance self-service usage and reduce customer contact volume
- 2+ years of experience or equivalent expertise in product management, project management, or a relevant domain area
- Developing knowledge level of the product development life cycle
- Exposure to product life cycle activities including discovery and requirements definition
- Emerging knowledge of data analytics and data literacy
- Experience in Technical Product Management, ideally with AI/ML-related products.
- Familiarity with multi-disciplinary teams in a large, matrixed organization and fast-paced agile development environment.
- Demonstrated ability to contribute to strategic decisions while vocally participating in team activities and adding value on execution activities.
- Technical acumen: ability to grasp and help manage complex relationships with internal technology partners.
- Ability to effectively leverage the power of analytics and customer insights for robust outputs.
- Strong communicator with the ability to fluidly interact with leaders, stakeholders, employees, and third-party vendors.
- Experience working with SQL or NoSQL databases
- Familiarity with Kafka, Kinesis, or other data pipelines
- Prior experience working on a product team that uses Amazon Web Services (AWS)
- Knowledgeable of Snowflake or other data warehousing platforms
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, paid in the form of cash and/or forfeitable equity, 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 💰
Tags: Agile AWS CX Data Analytics Data pipelines Data Warehousing Kafka Kinesis Machine Learning NoSQL Pipelines Research Snowflake SQL
Perks/benefits: Career development Competitive pay Equity / stock options Health care Wellness
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