Data Analytics & Data Engineering Vice President

s using Snowflake and cloud solutions.

• Translate complex business requirements into technical solutions meeting data warehousing standards.

• Build and maintain governance processes for data cataloging, ownership, and access control.

• Optimize and refine data processes to improve performance and reliability.

• Collaborate with business, analytics, and project teams to align data solutions with needs.

• Monitor pipelines, perform data quality checks, and enforce best practices.

• Provide mentorship and training on Snowflake best practices to team members.

• Stay up-to-date with advancements in Snowflake and related technologies.

• Drive design and review of test cases, process changes, and manage project scope and deployment.

• Perform advanced quantitative analysis of large datasets to identify business trends.

• Manage Snowflake data sharing, exchange, and ecosystem-specific features.

Required Qualifications, Capabilities and Skills

• Hold a Bachelor's degree in Computer Science, Information Technology, or related field.

• Demonstrate a minimum of 12 years of experience in data engineering with deep Snowflake expertise.

• Manage teams, including hiring, coaching, performance management, and delivery oversight.

• Apply Agile methodologies, running ceremonies and prioritizing backlogs for continuous improvement.

• Exhibit proficiency in SQL and experience with data pipeline/ETL tools.

• Design and implement large-scale data solutions in cloud environments.

• Communicate complex technical concepts clearly to peers, management, and stakeholders.

Preferred Qualifications, Capabilities and Skills

• Demonstrate deep understanding of data modeling concepts like Star Schema and Data Vault.

• Leverage Snowflake's advanced features for enhanced data engineering.

• Utilize SQL Servers and write complex SQL queries.

• Apply Alteryx skills, holding Alteryx Designer Core Certification.

• Integrate data visualization tools like Tableau or QlikView with cloud data environments.

• Collaborate using platforms such as Jira and Confluence.

• Employ Python proficiency for advanced data engineering tasks.

ABOUT US

JPMorganChase, 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 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.

ABOUT THE TEAM

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.