Used Tools & Technologies
Not specified
Required Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Leadership @ 4
Communication @ 7
Prioritization @ 4
CCPA @ 3
GDPR @ 3
Audit @ 4
Compliance @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
The Data Management & Governance Lead will be responsible for shaping and advancing a firm-wide approach to data management practices across Bloomberg.
This role will bring together stakeholders across platforms, products, and data domains to establish common standards, taxonomy, and ways of working. The leader will define and implement a cohesive framework that strengthens how data is managed, governed, and used across its lifecycle, while ensuring appropriate oversight of data-related risks.
As a Director-level leader, you will play a key role in building alignment across teams, establishing governance structures, and enabling consistent, scalable practices—balancing strong discipline with Bloomberg’s fast-paced, innovation-driven environment.
Responsibilities
- Establish common standards, taxonomy, and baseline practices for data management (e.g., data quality, classification, lineage, ownership)
- Drive consistency in how data is defined, managed, and used across teams
- Support the development of a firm-wide data management framework that is practical and scalable
- Design and lead a data governance program, bringing together stakeholders through forums, working groups, and decision-making bodies
- Define clear roles and accountabilities for data ownership and stewardship
- Enable transparency and alignment on data-related decisions and priorities
- Partner with Engineering, Product, and Data teams to integrate data management and governance practices into day-to-day workflows
- Promote consistent approaches across the data lifecycle: ingestion, transformation, storage, distribution, and usage
- Support teams in adopting practices that improve data quality, usability, and trust
- Develop metrics and dashboards to provide visibility into data health, adoption of standards, and key issues
- Support identification and prioritization of data-related risks and improvement opportunities
- Provide input to leadership to inform prioritization and decision-making
- Partner with Legal, Compliance, and Privacy to ensure data practices align with regulatory and policy expectations
- Support the design and implementation of practical, scalable controls across the data ecosystem
- Contribute to ongoing improvements in governance, oversight, and audit readiness
Requirements
- 8–10+ years of experience in data management, data governance, or related roles, ideally in financial services or a data-intensive technology environment
- Experience building and implementing data standards, frameworks, or governance programs
- Strong understanding of data as a business asset, including quality, lineage, classification, and usage
- Proven ability to bring together stakeholders and drive alignment across teams
- Experience working with engineering, product, and data teams in a fast-paced environment
- Familiarity with regulatory expectations (e.g., GDPR, CCPA, BCBS 239)
- Strong communication and influencing skills, with the ability to work across a matrixed organization
- Solid analytical and program management capabilities
Preferred Qualifications
- Professional certifications in data management and governance, such as CDMP (Certified Data Management Professional)
- Training or certification in data governance frameworks, metadata management, or data quality management
- Demonstrated commitment to ongoing professional development in data, governance, and emerging data practices
Salary & Benefits
Salary Range: 215000 - 250000 USD Annually + Benefits + Bonus
The posting notes a comprehensive benefits plan that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) + match, life insurance, and various wellness programs. The Company does not provide benefits directly to contingent workers/contractors and interns.
How to Apply
Apply via the provided Bloomberg careers link.