Advisory & Data Analytics - Business Solutions Group (BSG) - Associate/Vice President

Morgan Stanley•New York, NY

55d•$150,000 - $250,000

About The Position

The Business Solutions Group (BSG) team sits within Morgan Stanley’s Institutional Securities Group (ISG) and functions as an in-house management consulting team supporting the firm with strategic program management and delivery, large-scale transformation, operational improvement, and regulatory change or remediation. The team partners with individual business lines, Legal/Risk/Compliance, and senior firm leadership to drive initiatives to completion. This role will play a foundational part in delivering high-impact engagements while combining advisory consulting, program delivery, and data-driven analytics capabilities.

Requirements

Strong consulting and program delivery experience with the ability to manage multiple initiatives simultaneously.
Proven stakeholder management and cross-functional collaboration skills.
Strong data analytics experience, including ability to leverage data visualization tools (i.e., Power BI, Tableau, Excel).
Experience with machine learning models, LLM, agentic workflows and RAG implementation.
Proven ability to manage delivery/execution of a wide range of tasks and initiatives.
Understanding of data engineering concepts (data pipelines, structured/unstructured data).
Proven ability to manage multiple projects and priorities.
Proven experience developing partnerships with and successfully coordinating across various business and functional stakeholders.
Strong written and verbal communications skills.
Ability to interact at all levels of the organization and tailor messages appropriately.
Strong presentation skills, including ability to create polished PowerPoint presentations for various levels of management.
Independent self-starter who can manage multiple activities to aggressive deadlines.
Eagerness to learn business and understand detailed technical requirements.
3-7 years of experience in management consulting, strategy, transformation, or related roles.
Ability to manipulate and do computations on financial data sets using a programming language such as Python, R or similar languages.
Bachelor’s degree required.

Nice To Haves

Experience in financial services, ideally within sales & trading, investment banking, or wealth management.
Experience in program management, product development, or transformation initiatives.
Experience building or scaling an internal consulting, strategy, PMO or transformation function.
Project management, product development, business management, or management consulting in the financial services industry, ideally Wealth Management.
advanced degree preferred (business, finance, engineering, or related field).

Responsibilities

Work in cross-functional agile teams alongside various business stakeholders (e.g. business, technology, operations, risk and finance) to innovate and consult on developing new or enhancing existing technologies.
Collaborate with colleagues and industry experts to design and deliver high performance data frameworks and technical platforms that power advanced analytics engagements and solutions.
Support high quality, multi-workstream consulting engagements within ISG including front office, risk, finance, operations and technology.
Provide program management and delivery support, including planning, execution, readiness, and governance across cross-functional teams.
Partner with stakeholders to define problems, diagnose issues, and develop actionable, sustainable solutions.
Manage project plans, track risks and issues, and report progress against milestones and benefits.
Support change management, process improvements, control, and governance initiatives.
Assist in preparing presentations, reporting materials, and updates for senior management.
Track and analyze engagement performance, including budgets, staffing, and key metrics.
Collaborate with business, technology, operations, finance, and risk teams to deliver integrated solutions.
Build strong stakeholder relationships and operate effectively across all levels of the organization.
Promote a collaborative, high-performance team culture.
Design and deliver analytics solutions, including dashboards, automation tools, and data-driven frameworks to support decision-making.
Work with cross-functional teams to develop and enhance data platforms and technology solutions.
Perform analysis on financial and operational datasets to identify insights and efficiency opportunities.
Build, support, and scale data pipelines and frameworks across structured and unstructured data environments.
Leverage visualization tools (Power BI, Tableau, Excel) to communicate insights effectively.
Support advanced analytics initiatives including machine learning and emerging technologies (e.g., LLMs, automation workflows).