Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Governance Director - Client Onboarding and Reference Data Services

Morgan Stanley
Glasgow
4 days ago
Create job alert
Overview

We're seeking someone to join our team as a Data Governance Director in Client Onboarding and Reference Data Services (CORDS) to play a key role in supporting the governance and quality of client reference data.

In the Operations division, we partner with business units across the Firm to support financial transactions, devise and implement effective controls and develop client relationships. This is a Team Manager position at Director level within the Glasgow location.

Since 1935, Morgan Stanley is known as a global leader in financial services, always 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
  • Develop staff, lead projects and control deployment of resources, owning management tools/methods such as work queues, checklists, depth charts and calendars
  • Set direction and expectations for your team(s), defining training plans and transfer of expert knowledge to contribute to team output and development
  • Contribute to business plan for area, establish risk/contingency plans, raise and address issues with urgency when required
  • Build and manage relationships with business unit partners, other Morgan Stanley infrastructure departments, and external contact points in Client or Market organizations
  • Support the implementation and operationalization of data governance frameworks across client onboarding and reference data domains.
  • Participate in governance forums and working groups to represent onboarding data interests and ensure consistent policy application.
  • Ensure client data attributes, ownership transfers, and third-party integrations align with firmwide data standards and policies.
  • Act as a key point of contact for onboarding and reference data governance matters across business, technology, and compliance teams
  • Support change management activities by tracking progress, identifying risks, and escalating issues related to data governance changes
  • Facilitate communication and alignment between data owners and operational teams to ensure smooth execution of governance decisions.
  • Track and manage data-related incidents and issues using structured tools, ensuring timely remediation.
  • Contribute to the development and tracking of Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs) for data governance effectiveness
What you’ll bring to the role
  • Strong relationship building skills serving as a role model for client service
  • Ability to think commercially, understand the impact of initiatives, risks on the operational budget
  • Experience in managing teams, enhancing control, continuous improvement and reducing operational risk
  • Culture carrier and role model, representing and leading the Firm's core values to influence and motivate those around you
  • Experience working with client reference data, onboarding processes, or data governance in a financial services or similarly regulated environment.
  • Familiarity with data governance frameworks, policies, and regulatory requirements (e.g., KYC, AML, financial crimes).
  • At least 8 years' relevant experience would generally be expected to find the skills required for this role
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.


#J-18808-Ljbffr

Related Jobs

View all jobs

ViiV Global Data Governance Director

Global Data Governance Associate Director

Global Data Governance Associate Director

Global Data Governance Associate Director

Global Data Governance Associate Director

Senior Data Analyst

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.