Business Analyst / Data Governance Analyst, Director, Business Unit Managem at Morgan Stanley

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Data Management, Data Quality, Data Cataloging, SQL, Database Management, Cloud Data Platforms, Data Lineage, Metadata Management, Master Data Management, Data Ontologies, Taxonomies, Semantic Modeling, Communication, Stakeholder Management, Analytical Skills, Problem-Solving

Industry

Financial Services

Description

Support the development and implementation of data standards, policies, and procedures to ensure data integrity, compliance, and availability throughout the modernization effort Assist with data governance initiatives, including data cataloging, data lineage, and metadata management using tools such as Collibra Serve as a liaison between business and technology teams to ensure data-related business requirements are clearly defined, communicated, and prioritized Identify and help resolve data-related issues, collaborating with cross-functional teams to maintain high standards of data accuracy, completeness, and consistency Support master data management and data quality requirements in partnership with functional data owners Create and maintain documentation, including data dictionaries, data lineage, and data flow diagrams Collaborate with IT, business stakeholders, and governance teams to develop metrics and dashboards for data quality and compliance Contribute to the development and support of data governance program strategies, roadmaps, and project plans Participate in the development and maintenance of data ontologies, taxonomies, and semantic models to ensure consistency and interoperability Bachelor's degree in Business, Computer Science, Information Systems, or related field 3-4 years of relevant experience in Data Governance, Data Management, or Data Quality Hands-on experience with data governance, data management, data quality, and data cataloging tools (e.g., Collibra) Strong knowledge of SQL for data querying and manipulation. Experience with database management systems (IBM DB2 preferred) and cloud data platforms (Snowflake a plus) Familiarity with data lineage, metadata management, and master data management Understanding of data ontologies, taxonomies, and semantic modeling in enterprise environments Excellent communication and stakeholder management skills. Ability to work collaboratively with cross-functional teams, including data engineers, business analysts, and change management leads Experience with business intelligence tools, automation platforms, and AI/ML use cases is a plus Strong analytical, problem-solving, and organizational skills 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. 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

Support the development and implementation of data standards, policies, and procedures to ensure data integrity, compliance, and availability. Collaborate with IT, business stakeholders, and governance teams to develop metrics and dashboards for data quality and compliance.