Director, Technical Specialist

Morgan Stanley•New York, NY

4d•Onsite

About The Position

Morgan Stanley Services Group, Inc. is seeking a Director, Technical Specialist in New York, New York to Analyze large and complex datasets to identify patterns, anomalies, and actionable insights that inform business decisions and audit strategies. Partner with auditors, analytics leads, and business stakeholders to define objectives, gather requirements, and deliver impactful solutions. Design and maintain interactive dashboards and visualizations that present data in a clear, meaningful way for diverse audiences. Develop and refine processes for data integration, including extraction, transformation, and loading (ETL), ensuring accuracy and timeliness of reporting. Interpret technical concepts and translate them into business-friendly language to support decision-making. Provide training and guidance on analytics methodologies, enabling auditors and team members to leverage data effectively. Validate data accuracy and control effectiveness to support audit ensuring compliance with regulatory standards. Lead initiatives to streamline workflows through automation and implement AI-driven solutions that enhance efficiency, reduce manual effort, and improve data quality. Promote knowledge sharing and establish best practices for analytics development and usage across the team. Maintain comprehensive documentation and enforce rigorous quality control measures for all deliverables to ensure transparency, sustainability, and operational excellence.

Requirements

Requires a Bachelor’s in Information Technology, Technology Management, or a related field
Requires five (5) years of experience in the position offered or five (5) years as a Manager, Analyst, Consultant, or a related role
Requires five (5) years of experience with Designing, building, and enhancing dashboards and data visualization tools using platforms such as QlikView or Power BI
Requires five (5) years of experience with Writing, optimizing, and troubleshooting SQL scripts for data extraction, transformation, and loading (ETL) across various relational databases
Requires five (5) years of experience with Automating manual data workflows and tool refreshes using Python or similar scripting languages to improve efficiency and reduce errors
Requires five (5) years of experience with Managing the full lifecycle of data analytics projects, from requirements gathering and design to implementation
Requires five (5) years of experience with Collaborating with business stakeholders to translate requirements into technical specifications and deliver analytics solutions aligned with audit or business objectives
Requires five (5) years of experience with Producing comprehensive technical documentation and usage guide for team members and end-users
Requires five (5) years of experience with Delivering technical training on analytics tools and methodologies for the team
Requires five (5) years of experience with Aggregating and analyzing data from multiple sources to support reporting and analytics
Requires Four (4) years of experience with Implementing and maintaining systems to track tool usage, generating adoption metrics, and providing actionable insights for management
Requires Four (4) years of experience with Utilizing data analytics platforms such as Alteryx or Dataiku for data preparation, workflow automation, and advanced analytics
Requires Four (4) years of experience with Designing, building, and enhancing dashboards and data visualization tools using Tableau

Responsibilities

Analyze large and complex datasets to identify patterns, anomalies, and actionable insights that inform business decisions and audit strategies.
Partner with auditors, analytics leads, and business stakeholders to define objectives, gather requirements, and deliver impactful solutions.
Design and maintain interactive dashboards and visualizations that present data in a clear, meaningful way for diverse audiences.
Develop and refine processes for data integration, including extraction, transformation, and loading (ETL), ensuring accuracy and timeliness of reporting.
Interpret technical concepts and translate them into business-friendly language to support decision-making.
Provide training and guidance on analytics methodologies, enabling auditors and team members to leverage data effectively.
Validate data accuracy and control effectiveness to support audit ensuring compliance with regulatory standards.
Lead initiatives to streamline workflows through automation and implement AI-driven solutions that enhance efficiency, reduce manual effort, and improve data quality.
Promote knowledge sharing and establish best practices for analytics development and usage across the team.
Maintain comprehensive documentation and enforce rigorous quality control measures for all deliverables to ensure transparency, sustainability, and operational excellence.