We're seeking someone to join our team as a Data, Analytics & AI Innovation Associate . This role will leverage the Global Supplier Services (GSS) data to deliver insights into the Firm's third-party relationships. They will work on solutions to provide transparency and help determine opportunities to optimize Third-party expenses. This position will require a strong balance of business acumen with technical expertise. An understanding of third-party relationships and the source to pay processes is preferred. The successful candidate is expected to provide reporting & analytics deliverables in a fast paced and deadline driven environment while supporting data innovation and transformation initiatives.
In the Corporate Services division, we empower our businesses by creating collaborative workplace solutions and commercial services that enhance the employee and client experience, while optimizing the value of our sourcing and third-party lifecycle to enable the Firm to do-and-win business. This is an Associate level position within the Business Unit Management, which performs business management/CAO functions such as headcount management, financials, people processes, executive communications, and strategic support.
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:
Become a subject matter expert in sourcing, procurement, third-party, and expense management data to develop analytical solutions that drive business decisions
Translate complex business requirements into stakeholder-ready insights through intuitive dashboards, predictive analytics, KPI scorecards, and executive-level presentations
Design, develop, and maintain scalable analytics solutions using SQL, Python, Snowflake, and Power BI
Identify patterns, trends, and optimization opportunities using quantitative and statistical analysis techniques
Partner with business stakeholders to explore opportunities to leverage Generative AI, Machine Learning, and advanced analytics to improve decision-making and operational efficiency
Develop proof-of-concepts and innovative solutions utilizing AI technologies such as natural language querying, semantic layers, automation workflows, and intelligent insights generation
Support the migration of reporting assets from legacy platforms to strategic cloud-based data platforms and participate in all stages of the SDLC, including requirements gathering, testing, validation, and deployment
Contribute to data governance initiatives by maintaining business taxonomies, semantic models, KPI definitions, and data quality processes
Collaborate with technology, data engineering, and business teams to onboard and model new datasets for enterprise analytics use cases
Support ad hoc analytical requests, executive reporting, scenario analysis, forecasting, and business performance measurement
Continuously evaluate emerging AI, analytics, and data science technologies to identify opportunities that enhance the GSS Data & Analytics service model
What you'll bring to the role:
3–5 years of relevant professional experience in analytics, business intelligence, data science, quantitative analysis, or related fields
Strong analytical and problem-solving skills with the ability to work with large, complex datasets
Hands-on experience with SQL for data extraction, transformation, and analysis
Experience developing dashboards and visual analytics solutions using Power BI, Tableau, or similar BI platforms
Working knowledge of Python for data analysis, automation, statistical modeling, or AI-related applications
Experience translating business requirements into analytical solutions and communicating insights to non-technical stakeholders
Strong data storytelling and executive communication skills
Advanced Microsoft Office skills, including Excel and PowerPoint
Ability to manage multiple priorities in a fast-paced environment with minimal supervision
Preferred Qualifications
Demonstrated interest, coursework, certifications, projects, or work experience in Generative AI, Machine Learning, Data Science, Predictive Analytics, or Quantitative Modeling
Knowledge of statistical techniques, forecasting, regression analysis, clustering, classification, optimization, or other analytical methodologies
Experience leveraging AI tools such as Microsoft Copilot, Snowflake Cortex AI, Azure AI, OpenAI APIs, LangChain, vector databases, or similar technologies
Exposure to semantic models, knowledge graphs, ontologies, graph databases, or AI-powered data discovery solutions
Familiarity with cloud data platforms such as Snowflake and modern data architectures
Experience building automated analytical workflows using Power Automate, APIs, or Python-based frameworks
Industry experience with sourcing, procurement, Accounts Payable, third-party lifecycle management, or expense management is advantageous
Understanding of experimentation, hypothesis testing, and data-driven decision-making frameworks
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.
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.
Skills Required
- 3-5 years of relevant professional experience delivering end-to-end reporting and analytics solutions
- Proficiency with SQL
- Experience with Snowflake
- Experience with Power BI
- Experience with Tableau
- Experience with Python or similar
- Experience building or maintaining governed metric layers (semantic models, standardized KPI definitions)
- Experience collecting, analyzing, and synthesizing large and complex datasets
- Advanced Microsoft Office skills (PowerPoint, Word, Excel)
- Client management and teamwork skills; ability to collaborate with technical and non-technical stakeholders
- Interest in AI capabilities to enhance data practices (e.g., natural language querying, governed AI)
- Working knowledge of data ontologies and knowledge graphs
- Industry experience with sourcing (Ariba on demand), procurement, Accounts Payable, third-party relationships, and expense management
- Understanding of third-party relationships and source-to-pay processes
Morgan Stanley Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.
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Parental & Family Support — Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
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Healthcare Strength — Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
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Equity Value & Accessibility — Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.
Morgan Stanley Insights
What We Do
Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.
