At a Glance
- Tasks: Lead data acquisition strategies and manage supplier relationships for innovative data solutions.
- Company: Join a forward-thinking Risk Intelligence team focused on data excellence.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement in a cutting-edge environment.
- Why this job: Make a significant impact in the data landscape while collaborating with diverse teams.
- Qualifications: Extensive experience in data roles and strong communication skills required.
The predicted salary is between 70000 - 90000 € per year.
Requirements
- Bachelor's, Master’s, or PhD (preferably in field such as Computer Science, Mathematics, Statistics, Financial Engineering, or equivalent)
- Significant professional experience (typically 7–12+ years) in relevant data roles, or related areas
- Demonstrated success working with technical teams or senior specialists in data automation environments
- Strong understanding of data acquisition techniques — including LLMs, crawlers, bot blocking, agentic architectures, managed services, and outsourcing
- Hands‑on experience working with data suppliers and 3rd party providers of data, data automation services and solutions
- Familiarity with data scraping, source management, and data automation technologies
- Excellent communication skills, with the ability to present complex findings clearly to both technical and non‑technical audiences
- (Desirable) Experience in B2B data or RegTech environments
- (Desirable) Experience managing data teams, specifically data supply and acquisition teams and activities
- (Desirable) Experience in working with data providers (BPOs, data aggregators), with specific reference to data within the Financial Crime and Regulation space
- (Desirable) Experience with Generative AI and agent design / implementation
- (Desirable) Experience of data lineage requirements and compliance / audit frameworks
What the job involves
We are seeking an experienced Data Acquisition Manager to be a part of our new Risk Intelligence Data Team and lead all aspects of our data supplier & sourcing domain. Responsibilities for this critical role include developing a clear data source acquisition strategy, managing 3rd party suppliers, automating the data acquisition pipeline, and establishing source management tooling & governance across our Active Data Layer programme.
You will oversee the management and evolution of Risk Intelligence's data supply chain. This includes working across various data acquisition methods, from 3rd party supplier selection and management, automation of data source monitoring and data extraction, and broader web search techniques. This role will involve working closely with Engineering, Product, and Operations, as well as maintaining good communications and engagement with a wider group of business stakeholders.
The overall objective of the Head of Data Acquisition will be to maintain a comprehensive but cost‑effective data supply and library of sources covering Sanctions, PEPs, and Adverse media, that ultimately improves the accuracy of Risk Intelligence’s World Check screening solutions.
Develop and own the strategy for data acquisition, determining how best to access data sources needed to achieve data performance for screening customers. Together with engineering teams, develop tools, agents, and techniques for monitoring and acquiring data. Collaborate with other members of the Product Data Team to integrate data acquisition processes with data curation & enrichment orchestration. Create a clear and logical framework for discovering and evaluating new sources of data. Work together with the RI Operations stakeholders to develop and implement new operating processes.
Together with Data & Product stakeholders, create and implement a Data Improvement and ROI decision workflow that works agentically across the data source landscape. Undertake vendor selection for new data suppliers and data sourcing partners as required. Design and implement a data vendor SLA policy which establishes quality controls, rights management, and data governance procedures. Together with Data & Product stakeholders forecast and calculate data sourcing budgets matched to data coverage and screening performance taking into account the different areas of cost, such as agent cost, data sources, 3rd party data purchase. Work with Product leads on application of budget against data acquisition activities, with a clear link to downstream effect of spend.
What Success Looks Like:
- All data sources documented and monitored for core KPIs and meta information
- Rolling assessment and improvement of data sources based on value, accessibility, and coverage
- Rapid source evaluation and implementation process for new / alternative sources
- Stakeholders across engineering, operations, and product view the function as a strategic partner and trusted authority
Senior Manager of Data Acquisition employer: Deepstreamtech
As a leading player in the Risk Intelligence sector, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises employee growth and innovation. Our Senior Manager of Data Acquisition role offers the opportunity to lead cutting-edge data strategies while collaborating with talented teams across engineering and product development, all within a supportive environment that values your contributions. Located in a vibrant city, we provide competitive benefits, professional development opportunities, and a commitment to work-life balance, making us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager of Data Acquisition
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, especially those who work in roles similar to the Senior Manager of Data Acquisition. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data acquisition techniques and automation. This will help you stand out during interviews and demonstrate your hands-on expertise.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication skills. Make sure you can clearly explain complex data concepts to both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our careers page for the latest opportunities and make sure your application stands out!
We think you need these skills to ace Senior Manager of Data Acquisition
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Manager of Data Acquisition. Highlight your relevant experience in data roles, especially any hands-on work with data suppliers and automation techniques. We want to see how your background aligns with our needs!
Showcase Your Skills:In your application, don’t just list your qualifications—show us how you've successfully worked with technical teams and managed data projects. Use specific examples that demonstrate your understanding of data acquisition techniques and your ability to communicate complex findings clearly.
Be Clear and Concise:When writing your cover letter, keep it clear and concise. We appreciate straightforward communication, so get to the point while still showcasing your passion for the role. Let us know why you’re excited about joining our Risk Intelligence Data Team!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. This way, we can easily track your application and ensure it gets the attention it deserves. Plus, it’s the best way to stay updated on your application status!
How to prepare for a job interview at Deepstreamtech
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data acquisition techniques, especially those mentioned in the job description like LLMs and crawlers. Be ready to discuss your hands-on experience with data suppliers and how you've tackled challenges in data automation environments.
✨Showcase Your Communication Skills
Since you'll need to present complex findings to both technical and non-technical audiences, practice explaining your past projects in simple terms. Use examples that highlight your ability to bridge the gap between technical teams and business stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific situations, such as vendor selection or managing a data supply chain. Think through your past experiences and be ready to share how you approached similar challenges, focusing on your strategic thinking and problem-solving skills.
✨Demonstrate Your Leadership Experience
If you've managed data teams before, be prepared to discuss your leadership style and how you've successfully guided your team through data acquisition projects. Highlight any experience you have in B2B data or RegTech environments, as this will show you're a great fit for the role.
