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- Tasks: Lead product vision and strategy for metadata discovery in financial data.
- Company: Bloomberg is a global leader in financial data and analytics.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Join a team that shapes financial analysis tools and impacts clients worldwide.
- Qualifications: 4+ years in product management; strong data modelling skills required.
- Other info: Open to diverse candidates who can demonstrate relevant skills.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Management Professional – Data Product Owner, Semantic Modeling – Company Financials
Location
London
Business Area
Data
Ref #
10041175
**Description & Requirements**
Bloomberg runs on data, and in Data we\’re responsible for acquiring and providing it to our clients. We collect, model, analyze, and publish data which is the backbone of the Bloomberg Terminal. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement solutions to enhance our systems, products and processes- all while delivering advanced insights to our clients. Weu2019re responsible for delivering this data, news and analytics through innovative technology – quickly and accurately.
**Our Team:**
The Company Financials (CoFi) Data team designs and builds company analysis tools for the Bloomberg Terminal. This includes marquee applications on Bloomberg terminal which supports data related to financial analysis, analyst recommendations, and earnings estimates. The team is responsible for tracking the evolution of data points from data processing to database taxonomy as well as API syntax design and front-end application development.
What\’s the role?
You will be responsible for defining, articulating and leading the implementation of the product vision and strategy for our metadata discovery layer. You will partner with product managers to identify commercial targets and define the use cases to be pursued and prioritized. You will act as the main point of contact between our product and data teams to improve our company financials taxonomy and data model, ensuring a consistent experience for our clients across all delivery methods. While collaborating closely with our data modelers, ontologists and domain subject matter experts, you will design the knowledge graph structure in order to support client needs while enriching the metadata available in the semantic layer and API layer.
**Weu2019ll trust you to:**
Maintain and evolve a roadmap for the discovery layer of the Company Financials products
Partner with Product, Engineering and Data to ensure deliverables are well defined and detailed, and align with the overall business goals
Drive product development, build and analyze metrics to measure business impact and success
Prioritize and balance resources across teams
Communicate progress effectively with stakeholders at all levels
Stay on top of the competitive environment and client trends
**Youu2019ll need to have:**
*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
4+ years of Product Manager experience bringing sophisticated products to market*
Knowledge of how company financials data is used by different financial market players
Proven skills in designing systems for data modelling and semantic modelling
Technical proficiency in being comfortable discussing technical concepts and experience evaluating trade-offs in design with Engineering, CTO, and Product
**Weu2019d love to see:**
Experience operating in an Agile environment
Bacheloru2019s, Masteru2019s, or PhD in a STEM field, Economics, or Finance
Does this sound like you?
Apply if you think we\’re a good match. We\’ll get in touch to let you know what the next steps are.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Senior Data Management Professional - Data Product Owner,Semantic Modeling - Company Financials employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Management Professional - Data Product Owner,Semantic Modeling - Company Financials
✨Tip Number 1
Familiarise yourself with the latest trends in financial data management and semantic modelling. Understanding how these concepts apply to the Bloomberg Terminal will help you articulate your vision and strategy during discussions.
✨Tip Number 2
Network with professionals in the financial data sector, especially those who have experience with product management. Engaging in conversations can provide insights into the role and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully driven product development in previous roles. Highlighting your experience with metrics and business impact will demonstrate your capability to deliver results.
✨Tip Number 4
Stay updated on Bloomberg's products and services, particularly those related to company financials. This knowledge will allow you to speak confidently about how you can contribute to their goals and improve client experiences.
We think you need these skills to ace Senior Data Management Professional - Data Product Owner,Semantic Modeling - Company Financials
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in product management, particularly in data modelling and semantic modelling. Use specific examples that demonstrate your ability to bring sophisticated products to market.
Craft a Compelling Cover Letter: In your cover letter, articulate your understanding of how company financials data is used in the financial market. Discuss your vision for the metadata discovery layer and how you can contribute to the team’s goals.
Showcase Technical Proficiency: Be prepared to discuss your technical skills in your application. Highlight any experience you have with evaluating design trade-offs and collaborating with engineering teams, as this is crucial for the role.
Demonstrate Agile Experience: If you have experience working in an Agile environment, make sure to mention it. Provide examples of how you've successfully managed product development cycles and collaborated with cross-functional teams.
How to prepare for a job interview at Bloomberg
✨Understand the Product Vision
Before the interview, make sure you have a clear understanding of the product vision and strategy for the metadata discovery layer. Be prepared to discuss how your experience aligns with this vision and how you can contribute to its evolution.
✨Showcase Your Technical Proficiency
Since the role requires discussing technical concepts, brush up on your knowledge of data modelling and semantic modelling. Be ready to explain your past experiences in these areas and how they relate to the company's needs.
✨Demonstrate Agile Experience
If you have experience working in an Agile environment, highlight specific examples of how you've contributed to product development cycles. Discuss how you prioritised tasks and collaborated with cross-functional teams to achieve business goals.
✨Prepare for Stakeholder Communication
Effective communication with stakeholders is key in this role. Think of examples where you've successfully communicated progress or challenges to different levels of stakeholders, and be ready to share these during the interview.
