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Morgan Stanley

Director, Software Product Management & RE

Reposted 2 Days Ago
Be an Early Applicant
In-Office
Boston, MA, USA
163K-163K Annually
Senior level
In-Office
Boston, MA, USA
163K-163K Annually
Senior level
As Director of Software Product Management, you will manage monitoring tools, lead incident response, and oversee data migrations to Snowflake, while enhancing knowledge management.
The summary above was generated by AI

Company Profile:

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.

In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.

What you’ll do in the role:

Morgan Stanley Services Group Inc. is seeking a Director, Software Product Management & RE in Boston, MA to deploy and maintain comprehensive monitoring, logging, and alerting. Handle incident response, root cause analysis, and post-mortem reviews for time resolution of production outages and participate in 24/7 on call rotation. Handle AI Enhanced Knowledge Management efforts of the Production Support team. Embed content and documentation from multiple sources, and maintain centralized knowledge repository and regular validation. Build and implement self-healing capabilities for detecting and remediating Production issues. Plan, execute, and automate high integrity data migrations between On- Prem databases and replicate to Snowflake on Azure Cloud. Handle cross-vendor incident response during Outages and maintain runbooks for recovery scenarios. Complete user change requests and enhancements in Production environments, and ensure changes go through Performance, Load, and Compliance testing before deployment. Act as primary operational point of contact for business teams and handle business flows such as RFBs and End of the day processing. Identify and resolve operational bottle necks in Aladdin workflows, Data feeds and Batch processing.

What you’ll bring to the role:

-Requires a Master's degree in Engineering (any), Computer Science, or a related field of study.

-Requires three (3) years of experience in the position offered or three (3) years as an Associate, Business Data Analyst, Software Developer, or a closely related occupation.

-Requires three (3) years of experience with the following skills:

  • Generative AI;
  • scripting and automation using Linux and Bash;
  • Snowflake Data Modelling;
  • SQL;
  • data replication from on-premise legacy databases including Oracle, SQL Server, DB2, and Sybase to cloud databases including Snowflake using High Volume Replication (HVR) tool;
  • data analysis and data pipelines development using Python;
  • Data Pipelines Code;
  • DataIKU and Airflow;
  • scheduling, automating, and optimizing batch jobs using Autosys;
  • User Accepting testing and Software Validation;
  • data management and data integrity checks;
  • working on user requests for Software and Process enhancements;
  • data visualization tools including Tableau and PowerBI;
  • CI/CD process;
  • monitoring tools including DataDog, Splunk, Prometheus, and Grafana;
  • automating incident response and recovery workflows;
  • creating tickets and reports using ServiceNow;
  • incident management using PagerDuty;
  • preparing Post Mortem decks for Root Cause Analysis and Impact Mitigation;
  • Agile Methodologies;
  • Kanban;
  • Jira Boards;
  • Version control including Git or BitBucket;
  • 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 using APICA.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 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. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

Expected base pay rates for the role will be between $163,000 and $163,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Top Skills

Airflow
Apica
Autosys
AWS
Azure
Bash
Bigpanda
Bitbucket
Ci/Cd
Datadog
Dataiku
Db2
Generative Ai
Git
Grafana
High Volume Replication
Linux
Oracle
Pagerduty
Power BI
Prometheus
Python
Servicenow
Snowflake
Splunk
SQL
SQL Server
Sybase
Tableau
Terraform

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