Data Management Director - Data Publishing Strategy

LONDON, LONDON, United Kingdom

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The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is tasked with accelerating the firm's data and analytics journey, ensuring data quality, integrity, and security, and leveraging it to promote decision-making. The CDAO harnesses artificial intelligence and machine learning technologies to support the firm's commercial goals, develop new products, and enhance risk management. The Strategy and Execution team defines and executes the CDO vision and strategy. The Firmwide Chief Data Office (CDO) maximizes the value and impact of data globally, with teams focused on data strategy, impact optimization, privacy, governance, transformation, and talent.

As a Data Management Director in the Data Publishing Strategy team at JPMorgan Chase, within The Chief Data and Analytics Office, you will be leading the establishment of firmwide standards for data publishing and sharing. Your responsibilities will include defining data contract standards and processes to facilitate seamless data sharing across the firm. This role demands a combination of technical proficiency in data management, strategic thinking, and robust interpersonal skills to influence senior executives and guide team members.

Job Responsibilities:

  • Defines and implement comprehensive data contract standards and processes to facilitate efficient and secure data sharing across distinct groups within JPMorgan Chase.
  • Communicates effectively with senior executives to advocate for data publishing initiatives and influence decision-making.
  • Authors detailed guidance, which may include technical specifications and designs, which align with the firm's data strategy and standards.
  • Collaborates with business partners (Technology, Legal, Compliance, Data, Finance, etc.)  to understand their data management needs and ensure that the proposed Data Contract standards and processes meet these requirements.
  • Navigates the complexities of a large organization to drive the adoption of data standards and processes.
  • Mentors team members and partners, fostering a culture of collaboration and continuous improvement.
  • Designs and refine firmwide processes to enhance data interoperability and accessibility across the firm.
  • Stays informed about the latest trends in data management and data contracts.

Required Qualifications, Capabilities, and Skills:

  • Expert experience within the field of data engineering in financial services, data/technology, or related industry.
  • Bachelors or advanced degree (MS, PhD) in a quantitative field (e.g., Data Science, Computer Science) or equivalent experience.
  • Experience with a broad range of data engineering tools/frameworks and programming languages. (GraphQL, SPARCL, JSON Schema, Python, SQL)
  • Strong technical background with in-depth expertise of data quality, data management, and data contracts and possess the ability to write and understand technical specifications.
  • Effective communicator with excellent written communication skills.
  • Experience navigating and mobilizing resources across a large organization.
  • Ability to lead and mentor teams, fostering a collaborative and innovative work environment.
  • Attention to detail and ability to work independently under ambitious targets and effectively manage changes in planning and process.

Preferred Qualifications, Capabilities, and Skills:

  • Knowledge and understanding of a broad set of JPMC products and processes is a value add.
  • Familiarity with the financial services industry, its data management practices, and previous data contract implementations.
  • Experience in designing and implementing processes for data management and sharing.
  • Demonstrated interest in emerging technology and data management trends. 
  • Thorough understanding of industry best practices in relation to data contracts and data management standards.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
   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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Computer Science Data management Data quality Data strategy Engineering Finance GraphQL JSON Machine Learning PhD Privacy Python Security SQL

Region: Europe
Country: United Kingdom

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