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JPMorgan Principal Software Engineer - Data 
United States, New Jersey, Jersey City 
292735056

Yesterday

Job Responsibilities

  • Lead Data Product Development. Creation and implementation of a strategic roadmap for allocation transformation, ensuring alignment with the firm's long-term goals and objectives.
  • Conduct thorough analysis of current allocation processes and identify areas for improvement and innovation.
  • Develop metrics and KPIs to measure the success of transformation initiatives and report progress to senior leadership.
  • Drive the design and development of data products that enhance allocation processes and provide actionable insights to stakeholders.
  • Collaborate with data engineering and analytics teams to build scalable and robust data solutions that support business needs.
  • Define data product requirements, including data sources, integration points, and user interfaces, ensuring they align with strategic objectives. Apply deep knowledge of finance, P&A, and allocations to guide strategic decisions and ensure alignment with industry best practices.
  • Provide expert advice on financial modeling, budgeting, and forecasting to support allocation strategy.
  • Lead pilot projects to test new technologies and methodologies, evaluating their potential impact on the firm.
  • Build strong relationships with key stakeholders across the organization to gain support and buy-in for strategic initiatives.
  • Present complex ideas and strategies in a clear and compelling manner to influence decision-makers and drive change. Address concerns and challenges raised by stakeholders, providing solutions and maintaining open lines of communication.

Required qualifications, capabilities, and skills

  • 7+ years of experience or equivalent expertise in Software Engineering, with a focus on leading complex technology projects and programs in large organizations.
  • Proven experience in finance, P&A, and allocations within a technology-driven environment.
  • Strong understanding of data engineering principles and practices.
  • Demonstrated ability to influence stakeholders and drive strategic initiatives.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Strong communication and interpersonal skills, with the ability to work collaboratively across teams.
  • Experience in leading transformation projects and managing change within an organization.

'Preferred qualifications, capabilities and skills:

  • Familiarity with financial modeling and analysis tools.
  • Experience with data visualization and business intelligence platforms.
  • Knowledge of industry-specific regulations and compliance standards
  • Bachelor's degree in Finance, Technology, Data Science, or a related field; advanced degree preferred.