At a Glance
- Tasks: Lead data quality strategy for Economics datasets and enhance data management processes.
- Company: Bloomberg, a global leader in data and analytics.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Join a culture of innovation and accountability with excellent career advancement.
- Why this job: Make a real impact on data quality that drives decision-making worldwide.
- Qualifications: Degree in relevant field and 4+ years in data management or quality.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
Business Area: Data
Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team: The Economics Data team is responsible for onboarding, modelling, maintaining, and improving Economics datasets that are fit for purpose for our clients. Our data supports workflows across the Bloomberg Terminal, BQL, Enterprise, and other Bloomberg products. We manage macroeconomic, government, survey, forecast, time-series, and vendor-supplied datasets. Our focus is to deliver Economics data that is accurate, timely, complete, transparent, and ready to use.
What's the role? The Economics Data team is looking for a Senior Data Management Professional – Data Quality to define and drive the quality strategy for Economics data products. This role is focused on setting quality standards, defining fit-for-purpose metrics, strengthening controls, improving issue management, and ensuring data quality is measured transparently across tools, processes, and datasets. You will work closely with Data, Engineering, Product, Vendors, and Domain teams to ensure Economics datasets meet client expectations, support commercial priorities, and are governed through clear controls, ownership, and measurable outcomes.
We'll trust you to:
- Define and own the data quality vision, strategy, and roadmap for Economics datasets.
- Set fit-for-purpose quality metrics, SLAs, targets, and standards aligned to client, product, commercial, and regulatory needs.
- Design data quality controls across completeness, accuracy, timeliness, consistency, schema change, anomaly detection, and data integrity.
- Use data profiling, root-cause analysis, and trend analysis to identify quality risks and drive sustainable remediation.
- Own the data quality issue management framework, including logging, triage, prioritization, accountability, remediation tracking, and closure.
- Partner with Engineering to translate quality needs into pipeline controls, monitoring, tooling, observability, and automation requirements.
- Represent Economics Data in lifecycle governance, policy implementation, and quality framework discussions.
- Define guardrails for automated or AI-assisted quality workflows, including imputation, validation, exception handling, and downstream flagging.
- Improve transparency of tools, processes, and data health through dashboards, reporting, and regular communication to senior partners.
- Work with Vendors, Product, Engineering, and Data teams to resolve quality issues at source and prevent recurrence.
- Influence data governance, metadata, lineage, data modelling, and lifecycle management practices across Economics datasets.
- Promote a culture of accountability, continuous improvement, automation, and client-focused quality.
You'll need to have:
- A bachelor’s degree or above in Economics, Statistics, Computer Science, Mathematics, Engineering, Quantitative Finance, or equivalent experience.
- 4+ years of experience in data management, data quality, data operations, data governance, or data product ownership.
- Solid experience defining quality metrics, SLAs, controls, KPIs, issue management processes, and remediation frameworks.
- Experience working across the full data lifecycle, including ingestion, normalization, enrichment, modelling, quality control, distribution, and monitoring.
- Strong analytical skills, including data profiling, root-cause analysis, trend analysis, and evidence-based decision-making.
- Technical grounding in Python, SQL, data analysis, data visualization, or similar tools used to assess and improve data quality.
- Experience translating business and client needs into clear requirements for Engineering, Product, vendors, or operational teams.
- Good understanding of data governance, data lifecycle management, data modelling, metadata, and data integrity principles.
- Superb communication and stakeholder management skills, with the ability to influence senior partners and align distributed teams.
- Ability to operate through ambiguity, set direction, prioritize effectively, and drive measurable quality improvements.
We'd love to see:
- Experience with Economics, macroeconomic, government, survey, forecast, time-series, or vendor-supplied datasets.
- Bloomberg Terminal, BQL, Enterprise, or Bloomberg data workflow experience.
- Experience designing quality strategies in complex, regulated, or high-control environments.
- Experience using AI, machine learning, anomaly detection, statistical methods, or automation to improve data quality workflows.
- Experience defining validation frameworks for automated, AI-assisted, or imputed data outputs.
- Experience with observability tools, workflow orchestration, issue tracking, data catalogues, lineage, metadata management, or modern DataOps practices.
- Project management experience with Agile delivery, backlog management, JIRA, QlikSense, or similar tools.
- Understanding of Causal Inference.
- CDMP certification, or progress toward it, is a plus.
If this sounds like you: Apply! If you think we're a good match. We'll get in touch to let you know the next steps!
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.
Senior Data Management Professional - Data Quality - Economics Data in London employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work environment in the heart of London where innovation and collaboration thrive. Employees benefit from a culture that prioritises continuous improvement and accountability, alongside opportunities for professional growth through diverse projects and cutting-edge technology. With a commitment to diversity and inclusion, Bloomberg fosters a supportive atmosphere that empowers individuals to excel in their careers while contributing to impactful data solutions for clients worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Management Professional - Data Quality - Economics Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in the Economics Data field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your data quality strategies and successes. This is your chance to shine beyond the application!
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing answers to common questions about data management and quality. We want you to feel confident and ready to impress!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Senior Data Management Professional - Data Quality - Economics Data in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data management and quality. We want to see how your skills align with the specific needs of the Economics Data team.
Showcase Your Analytical Skills:Since this role requires strong analytical abilities, don’t shy away from sharing examples of how you've used data profiling or root-cause analysis in your previous roles. We love seeing evidence-based decision-making!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your experience and achievements. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Bloomberg
✨Know Your Data Inside Out
Before the interview, dive deep into the specifics of data quality and management. Familiarise yourself with the types of datasets mentioned in the job description, like macroeconomic and time-series data. Being able to discuss these confidently will show your passion and expertise.
✨Prepare for Technical Questions
Expect questions that test your analytical skills and technical grounding in tools like Python and SQL. Brush up on data profiling and root-cause analysis techniques, as well as how you would apply them in real-world scenarios. This will demonstrate your problem-solving abilities.
✨Showcase Your Communication Skills
Since the role involves working with various teams, practice articulating complex data concepts clearly. Prepare examples of how you've influenced stakeholders or resolved issues in past roles. This will highlight your ability to collaborate effectively across departments.
✨Demonstrate a Client-Focused Mindset
Think about how data quality impacts client satisfaction. Be ready to discuss how you've previously aligned data strategies with client needs or commercial priorities. This will illustrate your understanding of the business side of data management.
