Data Consumption - Data Domain Architect Lead
Plano, TX, United States
Full Time Senior-level / Expert Clearance required USD 63K - 147K *
JPMorgan Chase & Co.
Job responsibilities
- Serve as a strategic partner to key business leaders, develop strong on-going consultative relationships with stakeholders, and work with partners on efforts towards a vision of a fully data empowered product organization.
- Work with a team of data specialists/scientists, data engineers and design strategists for the right kind of decision-making, in order to create data products that are developed with people in mind.
- Experiment, research, bring new ideas to the table, iterate, and refine those ideas.
- Bachelor’s degree in analytical field (e.g., Computer Science, Economics, Mathematics, Statistics, Engineering, Operations Research, Physics)
- 5+ years of industry experience in building financial data management solutions for a bank, payment processor, lender, fintech, bureau, aggregator.
- 5+ years of hands-on analytics/data science expertise covering data sourcing, data analysis, data manipulation, data reporting (BI tools) in financial services for a bank, payment processor, lender, fintech, bureau, aggregator.
- Experience across broad range of modern tools and languages (e.g., SQL, Scala, Python, R)
- Comfortable around big data: i.e. able to effectively and efficiently wrangle billions of records and terabytes of data
- Experience with common data vocabularies and linked data concepts a plus (RDF, DCAT, Schema.org)
Preferred qualifications, capabilities, and skills
- Experience in one of these Customer Profitability, Customer Journey Analytics, Customer Marketing is a plus
- Experience working in an Agile organization/structure with AWS and/or Snowflake experience is a plus
- Experience with and or basic knowledge of ML powered models a plus
- Experience in one of these domains: Consumer Banking, Business Banking, Wealth Management, Card Services, Auto, Home Lending.
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 💰
Tags: Agile AWS Banking Big Data Computer Science Data analysis Data management Economics Engineering FinTech Machine Learning Mathematics Physics Python R RDF Research Scala Snowflake SQL Statistics
Perks/benefits: Career development Competitive pay Health care Wellness
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