Data Governance – Lineage, Firmwide CDO Vice President

JPMorgan Chase & Co.; Greater London; On-site; GBP 100,000 - 130,000; Full time

Job summary

A leading global financial services firm is seeking a Vice President on the Data Governance team. This role requires 8+ years of experience in data governance and analytics. Responsibilities include driving the adoption of a firmwide Data Lineage framework and collaborating with stakeholders to ensure data integrity and compliance. The ideal candidate has experience with industry-standard tools like Collibra and Databricks. Competitive compensation offered in a dynamic environment.

Qualifications

• 8+ years of industry experience with a strong data, analytics or product background.
• Strong understanding of data governance, data lineage, data publishing and metadata management.
• Hands-on experience with Data Lineage, Critical Data Element identification, metadata capture.

Responsibilities

• Drive adoption of firmwide Data Lineage framework.
• Develop and promote best practices in data management.
• Collaborate with stakeholders for resolution paths and compliance.

Skills

Data governance

Data lineage

Metadata management

Collibra

Alteryx

Databricks

Education

Bachelor’s degree in Computer Science

Master’s degree in Information Systems

Tools

Collibra

Alteryx

Databricks

Job description

This position will play a critical role in the success of the Firm’s Data Strategy program

As a Vice President on the Data Governance team within the firmwide CDO, you will be responsible for working with stakeholders to define governance and tooling requirements and building out the Firmwide Data Lineage framework. The firmwide team also collaborates with governance Subject Matter Experts with stakeholders in LOB and Corporate Functions CDO Offices to deliver this governance framework. In addition, you will be responsible for driving the adoption of the firmwide CDO framework by the LOBs and Corporate Functions CDOs.

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey.This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

Job Responsibilities

• Partners with CDO office to drive adoption and roll‑out of firmwide Data Lineage framework by supporting the documentation of data lineage for critical data flows
• Develop and promote best practices in metadata management, data lineage, and data quality controls
• Provides advisory services on specific complex lineage initiatives through focused business and technical architecture analysis
• Collaborate with key stakeholders to identify tactical and strategic resolution paths including ownership and timeframes for completion
• Develop strongpartnerships with Technology,the Controls Organization, Product / Data Owners, Executives / Business Leads, Compliance, Legal, and other stakeholders
• Facilitate Working Groups and Workshops to drive firmwide strategies, address challenges and manage risks and issues
• Monitor, measure and report on data lineage governance metrics and compliance
• Actively support the broader Data Governance team’s strategic initiatives and goals

Required qualifications, capabilities, and skills

• 8+ years of industry experience with a strong data, analytics or product background
• Strong understanding of data governance, data lineage, data publishing and metadata management concepts and methodologies
• Hands on experience with Data Lineage including Critical Data Element identification, metadata capture and tracing CDEs across the data lifecycle
• Experience with industry standard tools like Collibra, Alteryx or Databricks
• Excellent communication skills and the ability to work effectively in cross-functional teams
• Excellent interpersonal and leadership skills including the ability to resolve conflict, create consensus, and to make effective decisions as a team

Preferred qualifications, capabilities, and skills

• Experience and technical knowledge of data management and governance, big data platforms, or data architecture is preferred
• Experience in data quality within a large financial institution
• Familiarity with relevant regulatory requirements and industry standards related to data quality and data governance

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or related field.