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JPMorgan Vice President – Data Development Lifecycle DDLC Project & Execution Lead 
United States, New York 
358067822

Yesterday


Job Responsibilities:

  • Assist in the planning and execution of multiple workstreams within a program, ensuring alignment with strategic objectives.
  • Collaborate and align with various departments and support groups (architects, data engineers, other technologists) to define business outcomes.
  • Develop and maintain program schedules, budgets, and resource plans.
  • Develop a comprehensive overview of the program and its execution strategies for stakeholders at all levels across various functions.
  • Coordinate communication between workstream leads and key stakeholders to ensure alignment and transparency.
  • Support the program manager in organizing meetings, preparing agendas, and documenting minutes.
  • Provide regular program updates to senior leadership, highlighting progress and any areas of concern.
  • Assist in identifying, escalating, and mitigating risks that could impair our ability to execute on the strategy.
  • Demonstrate self-motivation and tenacity, working with a high degree of independence.

Required Qualifications, Capabilities and Skills:

  • 7+ years’ experience in financial services, data/technology or related consulting industry.
  • Advanced degree in business or technical/quantitative discipline.
  • Structured thinker and effective communicator with excellent written communication skills. Ability to crisply articulate complex technical concepts to senior audiences with poise and confidence.
  • Excellent stakeholder management and coordination skills.
  • Ability to work in a highly collaborative and matrixes environment to build consensus.
  • Exceptional analytical, problem solving, communication and presentation skills.
  • Strong knowledge of data mesh architecture and data product concepts.

Preferred Qualifications, Capabilities, and Skills:

  • Experience in roadmap creation and execution, aligning and leading business operations to strategic organizational goals.
  • Understanding of AI/ML technologies and their application in data management/governance.
  • Understanding of control and risk management concepts.
  • Strong product management and project management skills.