Data Domain Architect Lead

JPMorgan Chase - Columbus, OH

Full-time - Mid Level

Columbus, OH

Credit Intermediation and Related Activities

About the position

The Data Domain Architect Lead will be responsible for designing data products that meet business needs, from vision to launch. This role involves leading customer interactions, conducting user research, and defining curated data assets to provide high-quality data solutions for business analysts. The position requires a blend of technical expertise and strong communication skills to effectively collaborate with stakeholders and drive a data-empowered product organization.

Responsibilities

• Act as a strategic partner to key business leaders, building strong consultative relationships with stakeholders.
• Collaborate with partners to drive a vision of a fully data-empowered product organization.
• Work alongside a team of data specialists, scientists, engineers, and design strategists to facilitate effective decision-making.
• Create data products focused on people, representing a human-centered, iterative approach.
• Engage in coding to transform ideas into products and experiment with new ideas.
• Operate as a self-directed contributor with a proven track record of ownership and achieving results.
• Understand user needs and effectively structure business problems to develop practical data solutions.

Requirements

• Over 5 years of practical experience in analytics and data science, including data sourcing, analysis, manipulation, and reporting using BI tools, specifically within financial services.
• Bachelor's degree in an analytical discipline, such as Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research, or Physics.
• Proficient in SQL, Scala, Python, and R.
• Skilled in handling large datasets, capable of efficiently managing billions of records and terabytes of data.
• Strong understanding of technical concepts and ideas.
• Experience working in small to medium-sized project teams.
• Ability to communicate complex information clearly and persuasively.

Nice-to-haves

• Familiarity with Snowflake is advantageous.
• Familiarity with AWS is advantageous.
• Knowledge of common data vocabularies and linked data concepts, such as RDF, DCAT, and Schema.org, is beneficial.
• Experience in domains such as Consumer Banking, Business Banking, Wealth Management, Card Services, Auto, or Home Lending is a plus.
• Understanding of areas like Customer Profitability, Customer Journey Analytics, or Customer Marketing is a plus.
• Experience with or basic knowledge of machine learning models is advantageous.

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching