JPMorgan Chase & Co.-posted about 1 month ago
Full-time • Mid Level
Newark, DE
5,001-10,000 employees
Credit Intermediation and Related Activities

Join a team at the forefront of protecting clients, assets, and the firm's reputation through advanced data management and market surveillance. As a Data Owner Lead, you'll shape the future of data-driven compliance and operational resilience, collaborating with experts across technology, analytics, and compliance. Your leadership will ensure our data is a trusted asset, powering innovation and strategic decision-making. Make a direct impact on regulatory posture and risk management while fostering a culture of integrity and transparency. Be part of a dynamic organization accelerating the firm's data and analytics journey. As a Data Owner Lead in the Market Surveillance (Transactions & Communications) function, you will play a pivotal role in executing data strategies that support business operations and strategic objectives. You'll serve as a subject matter expert, bridging the gap between data providers and consumers to ensure data is well-governed, high-quality, and fit for purpose. This opportunity allows you to collaborate with cross-functional teams, drive data-driven decision-making, and enhance the firm's compliance and operational resilience. Your work will help shape a culture of integrity and transparency, supporting organizational growth and competitive advantage.

  • Implement strategic plans to deliver data solutions aligned with business and organizational goals
  • Manage project execution, tracking milestones, and mitigating risks, bottlenecks, and inefficiencies
  • Collaborate with partners to document and classify critical data, ensuring clear metadata and understanding
  • Document comprehensive requirements for data sourcing, content, and quality, coordinating with technology and business teams
  • Develop and oversee processes to identify, monitor, and mitigate data risks throughout the data lifecycle
  • Govern data protection, retention, storage, use, and quality to maintain compliance and resilience
  • Support analytics initiatives by identifying and integrating required data into analytics platforms
  • Communicate and resolve data issues promptly, maintaining data integrity and consumer trust
  • Foster strong partnerships with Compliance, product management, and Technology for shared objectives
  • Lead efforts to enhance data quality, protection, and utilization across the organization
  • Champion a data-driven culture that supports innovation, growth, and competitive advantage
  • Bachelor's degree in Business, Finance, Accounting, Information Systems, Data Analytics, or related field, OR equivalent professional experience
  • 5+ years of experience in data management, data governance, risk management/analytics, or related field
  • Proven leadership track record with ability to manage delivery timelines and achieve organizational goals
  • In-depth understanding of data management principles, governance frameworks, and lifecycle management
  • Experience in data protection, data quality, and data classification
  • Excellent analytical and problem-solving skills, translating complex data concepts into business strategies
  • Strong communication skills for technical and non-technical stakeholders, including senior audiences
  • Proven ability to build and maintain relationships with key stakeholders
  • Experience managing large-scale data projects
  • Ability to work collaboratively across Compliance, Technology, and Analytics teams
  • Demonstrated commitment to integrity, transparency, and regulatory compliance
  • Understanding of financial markets and market manipulative behaviors, with ability to conduct regulatory reviews
  • Experience reviewing trading activity for Compliance and familiarity with securities laws and regulations
  • Knowledge of financial products including Futures & Options, FX, Commodities, Equities, and Derivatives
  • Familiarity with trade lifecycles and order workflow
  • Understanding of modern Lakehouse architecture (Databricks, Glue) for optimizing data pipelines and architectures
  • Advanced experience in data engineering and query processing tools
  • Demonstrated ability to leverage AI and machine learning for data-driven solutions and risk management
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