Department: Investment Management - Private Alternatives
Job Summary: The Senior Data Architect will play a pivotal role in shaping the data strategy for the Private Alternatives asset classes within the Investment Management division. This position focuses on constructing a robust, scalable data architecture that supports the extraction, processing, insight generation and utilization of data for business decision-making, reporting /visualization. The role involves close collaboration with various stakeholders to ensure that data products meet business needs with high quality and efficiency.
Key Responsibilities:
Data Architecture Design:◦ Develop and implement comprehensive data architecture strategies that support the needs of Private Alternatives including Real Assets and Private Credit & Equity (PC&E), etc.◦ Design scalable data models that facilitate efficient data procurement, storage, processing, and analysis.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.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.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.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.Training and Mentorship:◦ Provide guidance, training, and mentorship to junior data modelers and architects within the team.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.#J-18808-Ljbffr
