Director, Software Product Management & Re

Morgan Stanley

Boston, MA, USA
Base: $163,000; bonus/equity: not specified; benef...
Generative ai
Scripting and automation using linux and bash
Snowflake data modelling
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services

Job Summary

  • Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services.
  • The Firm's employees serve clients worldwide, including corporations, governments, and individuals from more than 1,200 offices in 43 countries.
  • At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered.

Matching Summary

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, and wealth management services.

Salary

Base: $163,000; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Generative AI
  • scripting and automation using Linux and Bash
  • Snowflake Data Modelling
  • data replication from on-premise legacy databases
  • data analysis and data pipelines development using Python
  • scheduling, automating, and optimizing batch jobs using Autosys
  • monitoring tools including DataDog, Splunk, Prometheus, and Grafana
  • automating incident response and recovery workflows
  • incident management using PagerDuty
  • Agile Methodologies
  • Cloud based Data warehousing including Snowflake
  • Public Cloud platforms including Azure or AWS
  • cloud infrastructure monitoring using Terraform
  • business impact analysis using BigPanda
  • Synthetic monitoring and Application Programmable Interface (API) performance testing

Nice-to-have

  • AI Enhanced Knowledge Management efforts
  • cross-vendor incident response
  • user change requests and enhancements
  • operational bottlenecks in Aladdin workflows
  • DataIKU and Airflow
  • User Accepting testing and Software Validation
  • data management and data integrity checks
  • data visualization tools including Tableau and PowerBI
  • CI/CD process
  • creating tickets and reports using ServiceNow
  • preparing Post Mortem decks
  • Kanban
  • Jira Boards
  • Version control including Git or BitBucket

Key Requirements

  • Master's degree in Engineering (any), Computer Science, or a related field
  • three (3) years of experience in the position offered or related occupation
  • three (3) years of experience with specified skills

Work Rights

Not specified

Tailored Resume

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