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JPMorgan Senior Director Software Engineering - Data Delivery 
United States, California, Palo Alto 
294049567

20.07.2024

Job responsibilities

  • Leads multiple technology and process implementations across departments to achieve firmwide technology objectives
  • Drives and manages multiple areas with strategic transactional focus
  • Provides leadership and high-level direction to teams while frequently overseeing employee populations across multiple platforms, divisions, and lines of business
  • Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus across competing objectives
  • Manages multiple stakeholders, complex projects, and large cross-product collaborations
  • Influences peer leaders and senior stakeholders across the business, product, and technology teams
  • Champions the firm’s culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
  • Experience developing or leading large or cross-functional teams of technologists
  • Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale
  • Experience leading complex projects supporting system design, testing, and operational stability
  • Proven experience in designing and developing large scale data pipelines for batch & stream processing
  • Strong understanding of Data Warehousing, Data Lake, ETL processes and Big Data technologies (e.g Hadoop, Apache Spark, Apache Kafka, Open File & Table Formats etc. )
  • Expertise in one of the public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools
  • Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices
  • Experience with supporting large scale AI/ML Data requirements
  • Experience in Data visualization & BI tools
  • Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

  • Experience working at code level