Senior Data Visualization Operational Lead
Listed on 2026-01-14
-
IT/Tech
Data Engineer, Data Analyst
Senior Data Visualization Operational Lead
Position:
Senior Data Visualization Operational Lead
Location:
Glasgow, Scotland, United Kingdom
We are seeking a Senior Data Visualization Operational Lead to join our Business Intelligence operations team. The BI team manages and supports several data applications and infrastructure at Morgan Stanley, including analytics and virtualization systems like Power BI, Business Objects, and Tableau. In this VP‑level role, you will provide specialist expertise that drives decision‑making and business insights, craft data pipelines, implement data models, and optimize data processes for improved data accuracy and accessibility, including the application of machine learning and AI‑based techniques.
WhatYou’ll Do In
The Role
- Provide global support for multiple enterprise data visualization and business analytics platforms.
- Develop and implement operational efficiencies and automation practices that support the organization’s long‑term vision.
- Drive cross‑functional collaboration and knowledge sharing within the Business Analytics support functions.
- Represent the data engineering function in leadership meetings and strategic discussions.
- Manage relationships with external partners, vendors, and other key stakeholders.
- Create a culture of accountability, excellence, and continuous improvement within the teams.
- Mentor and develop talent within the Business Intelligence operational organization.
The Role
- System administration skills with Windows and Unix/Linux.
- Proficiency in scripting operational administration tasks in languages such as Python and Power Shell.
- Knowledge of SQL and relational database experience (DB2, Snowflake, Sybase, etc.).
- Strong troubleshooting and problem‑solving skills.
- Experience in incident, problem, and change management.
- Effective oral and written communication skills and interpersonal skills.
- Availability for weekend and on‑call work.
- SRE and Dev Ops skills with familiarity with modern observability stack (Splunk, Grafana).
- Bachelor’s degree in computer science, data analytics, or a related field, or equivalent experience.
- Extensive experience in building and scaling data platforms and solutions.
- Strategic mindset to drive innovation and continuous improvement in data engineering practices.
- Proficiency in data architecture design and implementation for complex business needs.
- Leadership skills to manage multiple teams, projects, and stakeholders.
- Ability to collaborate with cross‑functional teams and stakeholders to drive data‑driven solutions.
- Proven track record of delivering high‑impact data projects on time and within budget.
- Understanding of Microsoft Azure Cloud.
- Experience supporting Business Intelligence applications such as Tableau, Power BI, Business Objects, or Qlik View.
We are committed to maintaining a first‑class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values—putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back—guide our daily decisions. At Morgan Stanley, you will have the opportunity to work alongside the best and brightest in an environment where you are supported and empowered.
We offer comprehensive benefits and perks and ample opportunities for career mobility.
If this role is deemed a certified role, the holder may need to hold mandatory regulatory qualifications or meet internal company benchmarks.
Flexible Work StatementWe empower employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to learn more.
Equal Opportunity EmploymentMorgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.
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