Data Governance - Lineage, Firmwide CDO Vice President

JPMorgan Chase & Co.
Jersey City, NJ, United States
3 days ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Big Data Information Systems Data Architecture Data Governance Data Structures Information Lifecycle Management Metadata Meta-Data Management Data Streaming Information Technology Data Lineage
+5 more
Collibra Data Analytics Data Management Alteryx Databricks

Job description

Drive the execution of data governance across large-scale initiatives. This role sits at the center of improving data quality, strengthening controls, and enabling teams to manage data effectively. Influence outcomes by ensuring data is governed with consistency and accountability.

As a Vice President in 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, 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., * Partner with CDO office to drive adoption and rollout of firmwide Data Lineage framework by supporting the documentation of data lineage for critical data flows

  • Develop and promote best practices for metadata management, data lineage, and data quality controls
  • Provide 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
  • Build strong partnerships with Technology and Controls Organization, Product and Data Owners, LOB/CF CDO 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
  • Support the broader Data Governance team’s strategic initiatives and goals

Requirements

  • 10 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
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or related field.
  • Familiarity with relevant regulatory requirements and industry standards related to data quality and data governance

Benefits & conditions

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, paid in the form of cash and/or forfeitable equity, 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.

About the company

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., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:08 min

Creating standard APIs via the Egeria open metadata project

Ferd Scheepers · World Congress 2022

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:28 min

Building shared Java modules and analyst targeting platforms

Chris Heilmann Chris Heilmann +2 · LIVE

1:47 min

Comparing Egeria to alternative open metadata solutions

Ferd Scheepers · World Congress 2022

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all