Senior Data Visualization Operational Lead at Morgan Stanley

Glasgow, Scotland, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Visualization, Business Analytics, Operational Efficiency, Automation Practices, Cross-Functional Collaboration, SQL, Relational Database, Troubleshooting, Incident Management, DevOps, Data Architecture, Microsoft Azure, Business Intelligence, Leadership, Communication Skills, Mentoring

Industry

Financial Services

Description

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. 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. Understand Microsoft Azure Cloud. Experience working with or supporting Business Intelligence applications such as Tableau, PowerBI, Business Object, Qlikview is a plus. 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. 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. 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? Speak to our recruitment team to find out more. 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 enterprise data visualization and business analytics platforms while developing operational efficiencies. Manage relationships with external partners and drive cross-functional collaboration within the organization.