Job Description
About this role
Position Overview:
BlackRock is seeking a highly skilled and motivated Associate to support its growing and dynamic data modeling function. In this role, you will be responsible for designing, optimizing, and maintaining data models that drive critical business insights and operational efficiencies. You will work closely with cross-functional teams?including business stakeholders, data stewards, and engineering teams?to manage the full lifecycle of data product modeling from ideation through delivery. The ideal candidate will have at least 4 years of experience in data modeling, data governance, or data stewardship and will thrive in a fast-paced, results-driven environment.
Key Responsibilities
Business & Strategic Acumen
Alignment with Business Goals : Collaborate closely with business units to understand evolving data requirements and ensure that data models support various use cases, including operational efficiencies, risk management, and commercial applications.
Defining Success Criteria : Work with stakeholders to set clear objectives for data models, ensuring they are aligned with organizational strategies and deliver measurable business value.
Data Governance & Quality
Governance Integration : Apply robust data governance controls to maintain the integrity of data models, ensuring accuracy, completeness, and consistency.
Health Monitoring : Develop and track data quality metrics for key data models, regularly assessing and refining processes to identify deficiencies and potential improvements.
Data Product Modelling Lifecycle Management
End-to-End Ownership : Support the full delivery lifecycle of data products, through the planning, design, and release of data models that address critical business needs.
Model Development : Contribute to the design and creation of conceptual, logical, and physical data models, ensuring they align with strategic objectives and performance requirements.
Cross-Functional Collaboration : Work with product managers, engineers, data stewards, and stakeholders to integrate models effectively into broader data solutions and platforms.
Requirements Gathering & Documentation
Stakeholder Engagement : Gather, define, and document business requirements for data models, translating these needs into detailed technical specifications and user stories for development teams.
Clarity & Precision : Break down complex data challenges into manageable tasks, ensuring alignment and clarity between technical deliverables and business objectives.
Data Model Maintenance & Support
Issue Resolution : Provide Level 3 support for complex inquiries or issues related to data models, proactively identifying and addressing data modelling gaps or inconsistencies.
Continuous Improvement : Contribute to the optimization of modeling processes, advocating for industry best practices and new techniques to enhance data quality and operational efficiency.
Collaboration & Communication
Technical & Non-Technical Interface : Communicate effectively with both technical and non-technical teams, translating complex data modeling concepts into actionable insights.
Agile Delivery : Work in an agile environment, managing multiple tasks and priorities to ensure efficient and timely development and deployment of data models.
Qualifications & Requirements
Experience :
Minimum of 4 years in data modeling, preferably within a complex or large-scale environment.
Experience in the financial services industry is a plus, but not required.
Technical Skills :
Proven proficiency in data modeling (conceptual, logical, physical, ER diagrams, etc) and familiarity with data governance best practices.
Hands-on experience with tools such as SQL, Python, Unix, etc.
Experience with metadata management or data governance platforms for data management and quality assurance is preferred.
Knowledge of relational, NoSQL, or graph databases and cloud-based data platforms (e.g., Snowflake) is beneficial.
Business & Communication Skills :
Strong business acumen and ability to align data models with data product, organizational, and client needs.
Excellent written and verbal communication skills, capable of conveying complex technical concepts to various audiences.
Strong organizational skills and ability to manage multiple priorities in an agile environment.
Education :
Bachelor's degree in Business, Computer Science, Data Science, or a related field.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock?s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person ? aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.
Our clients, and the people they serve, are saving for retirement, paying for their children?s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment ? the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock (http://careers.blackrock.com/)
| Twitter: @blackrock (https://twitter.com/blackrock)
| LinkedIn:
www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer.
We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
Position Overview:
BlackRock is seeking a highly skilled and motivated Associate to support its growing and dynamic data modeling function. In this role, you will be responsible for designing, optimizing, and maintaining data models that drive critical business insights and operational efficiencies. You will work closely with cross-functional teams?including business stakeholders, data stewards, and engineering teams?to manage the full lifecycle of data product modeling from ideation through delivery. The ideal candidate will have at least 4 years of experience in data modeling, data governance, or data stewardship and will thrive in a fast-paced, results-driven environment.
Key Responsibilities
Business & Strategic Acumen
Alignment with Business Goals : Collaborate closely with business units to understand evolving data requirements and ensure that data models support various use cases, including operational efficiencies, risk management, and commercial applications.
Defining Success Criteria : Work with stakeholders to set clear objectives for data models, ensuring they are aligned with organizational strategies and deliver measurable business value.
Data Governance & Quality
Governance Integration : Apply robust data governance controls to maintain the integrity of data models, ensuring accuracy, completeness, and consistency.
Health Monitoring : Develop and track data quality metrics for key data models, regularly assessing and refining processes to identify deficiencies and potential improvements.
Data Product Modelling Lifecycle Management
End-to-End Ownership : Support the full delivery lifecycle of data products, through the planning, design, and release of data models that address critical business needs.
Model Development : Contribute to the design and creation of conceptual, logical, and physical data models, ensuring they align with strategic objectives and performance requirements.
Cross-Functional Collaboration : Work with product managers, engineers, data stewards, and stakeholders to integrate models effectively into broader data solutions and platforms.
Requirements Gathering & Documentation
Stakeholder Engagement : Gather, define, and document business requirements for data models, translating these needs into detailed technical specifications and user stories for development teams.
Clarity & Precision : Break down complex data challenges into manageable tasks, ensuring alignment and clarity between technical deliverables and business objectives.
Data Model Maintenance & Support
Issue Resolution : Provide Level 3 support for complex inquiries or issues related to data models, proactively identifying and addressing data modelling gaps or inconsistencies.
Continuous Improvement : Contribute to the optimization of modeling processes, advocating for industry best practices and new techniques to enhance data quality and operational efficiency.
Collaboration & Communication
Technical & Non-Technical Interface : Communicate effectively with both technical and non-technical teams, translating complex data modeling concepts into actionable insights.
Agile Delivery : Work in an agile environment, managing multiple tasks and priorities to ensure efficient and timely development and deployment of data models.
Qualifications & Requirements
Experience :
Minimum of 4 years in data modeling, preferably within a complex or large-scale environment.
Experience in the financial services industry is a plus, but not required.
Technical Skills :
Proven proficiency in data modeling (conceptual, logical, physical, ER diagrams, etc) and familiarity with data governance best practices.
Hands-on experience with tools such as SQL, Python, Unix, etc.
Experience with metadata management or data governance platforms for data management and quality assurance is preferred.
Knowledge of relational, NoSQL, or graph databases and cloud-based data platforms (e.g., Snowflake) is beneficial.
Business & Communication Skills :
Strong business acumen and ability to align data models with data product, organizational, and client needs.
Excellent written and verbal communication skills, capable of conveying complex technical concepts to various audiences.
Strong organizational skills and ability to manage multiple priorities in an agile environment.
Education :
Bachelor's degree in Business, Computer Science, Data Science, or a related field.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
Our hybrid work model
BlackRock?s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person ? aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.
Our clients, and the people they serve, are saving for retirement, paying for their children?s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment ? the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
For additional information on BlackRock, please visit @blackrock (http://careers.blackrock.com/)
| Twitter: @blackrock (https://twitter.com/blackrock)
| LinkedIn:
www.linkedin.com/company/blackrock
BlackRock is proud to be an Equal Opportunity Employer.
We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
Key skill Required
- SQL
- Python
- Data Governance
- Agile Delivery
- Agile Environment
- Assurance
- Business Goals
- Business Insights
- Business Objectives
- Buying
- Collaboration
- Commitment
- Communication
- Comprehensive
- Computer Science
- Data Management
- Data Modeling
- Data Product
- Data Quality
- Data requirements
- Data Science
- Data Stewardship
- Design
- Development
- Documentation
- Facilitate
- Finance
- Financial Services
- Focused
- Governance
- Health Monitoring
- Healthcare
- Highly Skilled
- Hybrid Model
- Ideation
- Infrastructure
- Innovation
- Integration
- Issue Resolution
- Learning
- Lifecycle Management
- Maintenance
- Management
- Metadata
- Metadata Management
- Model Development
- NoSQL
- Onboarding
- Operational Efficiency
- Optimization
- Organizational Skills
- Orientation
- Ownership
- Quality Assurance
- Quality Metrics
- Refining
- Reimbursement
- Risk Management
- Science
- Stakeholder Engagement
- Verbal Communication
- Written and Verbal Communication
