VP, Data Strategy & Governance — Platform Lead

JPMorgan Chase & Co.; Newark (DE); On-site; USD 133,000 - 205,000; Full time

Job summary

JPMorganChase is seeking a Data Management Lead - Vice President in Newark, DE. You will lead data strategy, govern data products, and collaborate with CCOR teams to bolster data quality and enable AI/ML initiatives.

You will oversee a central data platform, drive risk mitigation, and manage cross-functional teams to deliver data solutions that support strategic objectives and regulatory requirements.

Qualifications

• Bachelor's degree or equivalent professional experience in data management, governance or related field.
• 5+ years in data management, governance, risk analytics, or related field.
• Strong leadership and delivery timeline management.
• Deep understanding of data lifecycles, protection, quality and classification.
• Excellent analytical and problem-solving abilities.

Responsibilities

• Deliver data solutions aligned with business strategy and goals.
• Own one or more CCOR data product lines from design to delivery.
• Manage project execution, mitigate risks and bottlenecks.
• Collaborate to document data meaning and metadata for usability.
• Identify and mitigate data risks across the lifecycle.
• Partner with CDO and tech teams to build data management tools.
• Develop prototypes for data viz, analytics, and automation.
• Resolve data issues promptly and maintain data integrity.
• Guide staff in executing data-related tasks.

Skills

SQL

Python

Pyspark

Data governance

Data quality

Data modeling

Stakeholder communication

Education

Bachelor's degree in Data Science / CS / Information Systems or related field

Tools

Tableau

Databricks

Snowflake

AWS / Azure / GCP

Job description

JPMorganChase is seeking a Data Management Lead - Vice President in Newark, DE. You will lead data strategy, govern data products, and collaborate with CCOR teams to bolster data quality and enable AI/ML initiatives.

You will oversee a central data platform, drive risk mitigation, and manage cross-functional teams to deliver data solutions that support strategic objectives and regulatory requirements.