Senior Data Visualization Operational Lead at Morgan Stanley

Glasgow, Scotland, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Visualization, Business Intelligence, Data Analysis, Data Engineering, SQL, Python, PowerShell, Relational Databases, Troubleshooting, Problem Solving, Incident Management, Change Management, DevOps, SRE, Data Architecture, Leadership

Industry

Financial Services

Description

We’re seeking someone as a Senior Data Visualization operational lead to join our existing Business Intelligence operations team. The BI team manages and supports several Data applications and infrastructure at Morgan Stanley. These include analytics and virtualization systems like Power BI, Business Objects and Tableau. In the Technology division, 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. This is a Data & Analytics Operational lead position at VP level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. What you’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. What you’ll bring to the role System administration skills with Windows and Unix/Linux Scripting of operational administration tasks in one or more languages like Python, PowerShell etc... Knowledge of SQL language 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 as well as the ability to work well in a team environment. Be available for weekend and on-call work. SRE and DevOps skills and 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. Proficient 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. Skills Desired: Understand Microsoft Azure Cloud. Experience working with or supporting Business Intelligence applications such as Tableau, PowerBI, Business Object, Qlikview is a plus. #LI-LM1 WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the 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 - 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. Certified Persons Regulatory Requirements: If this role is deemed a Certified role and may require the role holder to hold mandatory regulatory qualifications or the minimum qualifications to meet internal company benchmarks. Flexible work statement Interested in flexible working opportunities? Morgan Stanley empowers employees to have greater freedom of choice through flexible working arrangements. Speak to our recruitment team to find out more. Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.

Responsibilities

Provide global support for multiple enterprise data visualization and business analytics platforms while developing operational efficiencies. Drive collaboration within the Business analytics support functions and manage relationships with external partners.