Senior Manager - Firmwide Planning & Analysis - Aws, Databricks, Pyspark

JPMorgan Chase JPMorgan Chase · Banking · Bengaluru, Karnataka, India · Corporate Sector

Senior Manager to lead a team of engineers and analysts in transforming Planning & Analysis capabilities through innovative data products and enterprise solutions within a financial institution. Responsibilities include team leadership, designing scalable data products, collaborating on cloud-native solutions using AWS, Databricks, and PySpark, and establishing best practices in software engineering.

What you'd actually do

  1. Build and mentor a high-performing team of engineers and analysts. Foster technical growth, conduct performance management, and create a culture of excellence and innovation.
  2. Design and deliver scalable data products that transform P&A processes. Own the strategic roadmap from concept to production, ensuring alignment with firm objectives and measurable business outcomes.
  3. Collaborate with data engineering and analytics teams to build robust, cloud-native solutions using AWS, Databricks, and modern data platforms. Define requirements, integration patterns, and technical architecture that meet enterprise standards.
  4. Establish and champion best practices in code quality, design patterns, testing, and architectural principles. Lead technical reviews, drive continuous improvement, and elevate engineering standards across the organization.
  5. Partner with stakeholders across Finance and Technology to gain buy-in for strategic initiatives. Translate complex technical concepts into business value and drive change through clear communication and demonstrated results.

Skills

Required

  • software engineering concepts
  • AWS
  • Databricks
  • PySpark
  • Python
  • REST APIs
  • data engineering
  • enterprise architecture
  • modern application design patterns
  • finance
  • P&A
  • financial analytics

Nice to have

  • Bachelor’s degree in computer science, Engineering, Finance, or related field
  • advanced degree
  • financial services domain knowledge
  • Contributions to technical communities
  • open source
  • engineering thought leadership

What the JD emphasized

  • 15+ years in technology leadership with proven experience managing and developing technical teams
  • Strong hands-on expertise: AWS, Databricks, PySpark, Python, REST APIs
  • Deep understanding of data engineering, enterprise architecture, and modern application design patterns
  • Experience in finance, P&A, or financial analytics within technology-driven environments
  • Track record of establishing engineering standards and mentoring teams on best practices
  • Demonstrated ability to drive delivery of complex transformation initiatives from strategy to execution