Senior Data Architect - VP P5

◦ Design scalable data models that facilitate efficient data procurement, storage, processing, and analysis.

2. Data Modeling:
◦ Create logical and physical data models, that reflect business data consumption needs.
◦ Ensure data models support data mining, business intelligence, and analytics activities.
◦ Semantic models to facilitate managed self-service operations

3. Data Governance and Quality:
◦ Help establish and facilitate management of data definitions, standards, policies, and procedures.
◦ Enhance data quality by setting up frameworks for data consistency, accuracy, and completeness.
◦ Lead efforts in data cataloging for improved data discovery and understanding.

4. Collaboration:
◦ Work closely with data engineers, analysts, product owners, and other stakeholders to deliver data products that align with business objectives.
◦ Facilitate cross-functional team efforts to ensure data architecture supports all aspects of the business.

5. Tool Utilization and Expertise:
◦ Utilize advanced data modeling tools to design and optimize data architectures.
◦ Stay updated with the latest trends in data technology and methodologies applicable to asset management.
◦ Familiarity with business intelligence tool set ecosystem, and strong experience with some.

6. Training and Mentorship:
◦ Provide guidance, training, and mentorship to junior data modelers and architects within the team.

7. Project Leadership:
◦ Lead or contribute significantly to projects that involve large-scale data integration, migration, or transformation.

Qualifications:
• Educational Background: Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
• Experience:
◦ Minimum of 7-10 years in a data architecture or data modeling role, preferably within the financial services or investment management sector.
◦ Proven experience with data warehousing solutions, ELT processes, and data integration techniques.
• Technical Skills:
◦ Expert level knowledge of SQL and experience with database management systems (e.g., PostgreSQL, Sybase, SQL Server, Snowflake, etc.).
◦ Proficiency in data modeling tools like ERwin, PowerDesigner, or equivalent tools.
◦ Familiarity with big data technologies and cloud services (AWS, Azure, Google Cloud).
◦ Familiarity with AI-enabled toolsets for data management and analytics is a plus.
• Domain Knowledge:
◦ Preferable understanding of asset management, particularly in Real Estate, Private Equity, or Credit sectors.
• Soft Skills:
◦ Exceptional analytical and problem-solving capabilities.
◦ Strong communication skills to articulate complex data concepts to non-technical stakeholders.
◦ Ability to work in a collaborative, agile environment.

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 85 years. At our 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 our more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find trusted colleagues, committed mentors and a culture that values diverse perspectives, individual intellect and cross-collaboration. We Firm is differentiated by the caliber of our diverse team. While our company culture and commitment to inclusion define our legacy and shape our future, helping to strengthen our business and bring value to clients around the world. Learn more about how we put this commitment to action: morganstanley.com/diversity. 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.

We're committed to bringing passion and customer focus to the business.

Expected base pay rates for the role will be between $150,000 and $210,000 per year at the commencement of employment.

However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.

It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).