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Data Modeling Lead, Vice President

BlackRock

Data Modeling Lead, Vice President

BlackRock

2 Locations

·

On-site

·

Full-time

·

1w ago

Compensation

$200,000 - $275,000

Benefits & Perks

Healthcare

401(k)

Flexible Hours

Parental Leave

Learning Budget

Healthcare

401k

Flexible Hours

Parental Leave

Learning

Required Skills

Data modelling

Data governance

Leadership

SQL

Python

About this role

Vice President – Data Modelling

Position Overview:

Black Rock is seeking a highly experienced and strategic Vice President to lead its growing and dynamic Data Modelling function. This senior role is responsible for driving the design, creation, and maintenance of data models that power critical analytics, regulatory, and operational objectives across the firm. The VP will collaborate with business stakeholders, technical teams, and external vendors to ensure that data models are robust, scalable, and aligned with enterprise data governance standards. The ideal candidate will bring at least 7 years of experience in data modelling and data management, with a proven track record of delivering large-scale, data-driven initiatives. Experience in modelling for financial securities reference data is a plus, but strong data modelling expertise in any domain is sufficient.

Key Responsibilities

Leadership & Strategic Direction

Strategic Vision: Define and execute the strategic vision for data modelling across the organization, setting the direction for how data models are designed, maintained, and optimized.

Business Alignment: Work closely with senior leadership and business stakeholders to ensure data models address current and future business needs while adhering to industry best practices.

Thought Leadership: Advocate for the strategic importance of data modelling within Black Rock, championing its value in driving data-driven decision-making.

Data Governance & Quality Oversight

Governance Alignment: Ensure that all data models comply with Black Rock’s data governance framework, emphasizing data accuracy, completeness, and consistency.

Quality Standards: Establish and enforce robust data quality standards and governance policies that integrate seamlessly with data modelling processes.

Continuous Improvement: Oversee data health assessments related to model performance and reliability, ensuring ongoing enhancements to meet regulatory and operational needs.

Data Product Lifecycle Management

Model Development: Oversee the end-to-end lifecycle of data models—conceptual, logical, and physical—ensuring they are fit for purpose and strategically aligned with organizational goals.

Collaboration: Drive effective coordination among product management, engineering, and business teams to integrate new or updated data models into data products.

Scalability & Sustainability: Balance short-term business demands with long-term architectural objectives, designing models that are scalable and adaptable to future needs.

Requirements Gathering & Documentation

Stakeholder Engagement: Lead efforts to gather and document comprehensive business requirements for data modelling initiatives, collaborating closely with stakeholders to translate business needs into model specifications.

Technical Translation: Oversee the documentation process to ensure clarity and consistency, effectively bridging the gap between technical requirements and business objectives.

Actionable Tasks: Break down complex modelling challenges into actionable tasks to facilitate efficient and accurate model development.

Vendor & Stakeholder Management

External Partnerships: Manage relationships with data and software vendors, ensuring that third-party solutions meet Black Rock’s data model requirements and quality standards.

Cross-Functional Collaboration: Work in tandem with internal teams across business, technology, and operations to ensure that delivered models meet stakeholder needs on time and within budget.

Negotiation & Influencing: Serve as a key liaison with both internal and external partners, negotiating priorities, timelines, and resources to achieve optimal modelling outcomes.

Collaboration & Communication

Cross-Team Leadership: Lead and foster collaboration among technical and non-technical teams, ensuring that complex modelling concepts are clearly understood and appropriately applied.

Influence & Alignment: Communicate the data modelling strategy to senior leadership, aligning cross-functional efforts with organizational priorities.

Knowledge Sharing: Promote a culture of data literacy and best practices in data modelling through regular training and guidance.

Data Model Support & Problem Resolution

Issue Resolution: Provide leadership in diagnosing and resolving complex data model-related issues, using data-driven approaches and industry best practices to address business challenges.

Governance Controls: Ensure that data governance controls are embedded throughout the modelling process, from ideation and development to testing and deployment.

Optimization & Best Practices: Advocate for and implement best practices in data modelling, continually refining processes to improve quality, efficiency, and business value.

Qualifications & Requirements

Experience: Minimum of 7 years in data modelling, ideally within large-scale organizations in the financial services industry or a similarly complex domain.

Technical Expertise: Proficiency in designing conceptual, logical, and physical data models; experience with data governance tools, third-party data sources, and cloud-based data platforms (e.g., Snowflake).

Leadership & Collaboration: Proven ability to lead cross-functional teams, negotiate priorities, and communicate effectively with diverse stakeholders, including senior leadership.

Financial Domain Knowledge: Strong understanding of financial markets and investment management is preferred; experience with financial security reference data is a plus.

Tools & Programming: Familiarity with SQL, Python, and data governance platforms is highly beneficial.

Education: Bachelor’s degree in Business, Computer Science, Data Science, or a related field is required. Advanced degrees or certifications in data modelling, data architecture, or related disciplines are considered a plus.

For NY7 - 50 Hudson Yards, New York Only the salary range for this position is USD**$200,000.00** - USD**$275,000.00** . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. Black Rock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

USD**$173,500.00** - USD**$225,000.00** . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. Black Rock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

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

Black Rock’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 Black Rock.

About Black Rock

At Black Rock, 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 Black Rock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

Black Rock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.

Black Rock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.

Assistance@blackrock.com. All requests are treated in line with our privacy policy.

Black Rock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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About BlackRock

BlackRock

BlackRock

Public

Multinational investment company.

10,001+

Employees

New York City

Headquarters

Reviews

3.5

5 reviews

Work Life Balance

2.2

Compensation

3.5

Culture

3.0

Career

4.2

Management

2.8

Pros

Fast-paced learning and development opportunities

Advanced technology and global platform

Good benefits and retirement packages

Cons

Poor work-life balance

High stress and competitive environment

Toxic work culture in some areas

Salary Ranges

7,021 data points

Junior/L3

L2

L3

L4

L5

L6

Junior/L3 · Analyst

1,924 reports

$118,963

total / year

Base

$100,050

Stock

-

Bonus

$18,913

$81,954

$175,627

Interview Experience

6 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

17%

Interview Process

1

HireVue

2

Online Assessment

3

Final Round/Superday

Common Questions

Technical interviews

Behavioral questions

Role-specific assessments