At a Glance
- Tasks: Manage data delivery plans and ensure quality for Private Market asset classes.
- Company: With Intelligence provides top-notch data and insights for the asset management industry.
- Benefits: Enjoy 24-29 days annual leave, flexible Fridays, wellness days, and free breakfast.
- Why this job: Join a dynamic team in a vibrant office culture focused on impactful data solutions.
- Qualifications: Experience in Private Markets and strong analytical problem-solving skills required.
- Other info: Hybrid working model available, with opportunities for social events and charity days.
The predicted salary is between 43200 - 72000 £ per year.
The Infrastructure & Real Estate Data Asset Manager is a senior role within the With Intelligence Data Group. The key responsibility of the role is to translate data requirements relating to managers and funds in relevant Private Market asset classes from Product into specific deliverables, and then own the delivery plan for that data. In this respect, the Infrastructure & Real Estate Data Asset Manager is accountable for the workflows and resourcing profiles associated with the delivery of data in their domain and works directly with Heads of Data Operations to ensure the outputs of operational teams are in line with business expectations.
They work with relevant stakeholder departments (commercial, events, product) across the company to establish and deliver on SLAs, KPIs, and other deliverables related to the quality of the data output. They are responsible for identifying, developing, and optimising levers used to obtain data, and driving those approaches into the data teams. The Infrastructure & Real Estate Data Asset Manager is part of the Data Function Senior Management Team working closely with the Chief Data Officer. They will be expected to make use of data analysts, business analysts, and other SME resources in order to make data-centric decisions and generate actionable insights into data usage, engagement, productivity, and quality.
Key Responsibilities
- Data Proposition and data charter: Agree data charters and SLAs with Product, providing estimates and updates on delivery timelines, cost, and data coverage in order to facilitate product decisions relating to the data proposition and charter.
- Translate requirements from Product into specific deliverables, working to define KPIs around data coverage, quality and timeliness for product data.
- Form and manage plans to deliver data in line with targets and requirements as agreed within the charter.
- Identify and qualify new sources of data or new approaches to generating data or improve data coverage/timeliness.
Delivery of the data charter:
- Form and manage plans to deliver data in line with targets and requirements as agreed within the charter.
- Coordinate, monitor and improve where required delivery activity of Private Markets data and intelligence from associated data research, editorial, and data processing teams.
- Continually review the progress of editorial and data activity within the Private Markets domain.
- Identify, explore, and adopt/refine/scale relevant data capture levers such as FOIA-d material and Outreach for operational teams to exploit.
- Work with Data Managers, TLs, Editors, and SMEs on a daily/weekly cadence to review and refine the operational effectiveness and adjust approaches and priorities as required.
- Help improve workflows, communication and coordination among related teams.
Reporting and communication
- Act as the point of contact for reporting and communication on the health of data sets and new capabilities, particularly as they relate to product and commercial teams.
- Communicate progress/status of content areas to stakeholders as necessary.
Requirements
- Private Markets domain experience and expertise.
- Prior experience in relevant role.
- Analytical problem solver.
- Delivery focused.
- Strong communication skills.
- Hybrid working (preferably from our London office).
Benefits
- 24 days annual leave rising to 29 days.
- Enhanced parental leave.
- Medicash (Health Cash Plans).
- Wellness Days.
- Flexible Fridays (Opportunity to finish early).
- Birthday day off.
- Employee assistance program.
- Travel loan scheme.
- Charity days.
- Breakfast provided.
- Social Events throughout the year.
- Hybrid Working.
With Intelligence is based at One London Wall, Barbican, London EC2Y 5EA. We offer a great range of benefits, free breakfast daily, fresh fruit and a range of soft drinks provided every day. As part of our company, you will enjoy the benefits of an open plan office and working with a social and energetic team. With Intelligence provides exclusive editorial, research, data and events for senior executives within the asset management industry. These include hedge funds, private credit, private equity, real estate and traditional asset management, and our editorial brands are seen as one of the best in providing asset manager sales and IR execs with the actionable information they require to help them raise and retain assets. To maintain and grow our position in the market we need to continue to hire highly motivated, thoughtful and to ensure our subscribers are getting the exclusive intelligence they need first, and most comprehensively, through our range of services. If you are interested so far in what you have read, please apply, we look forward to hearing from you. We are an Equal Opportunity Employer.
Real Assets Data Manager employer: With Intelligence
Contact Detail:
With Intelligence Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real Assets Data Manager
✨Tip Number 1
Familiarise yourself with the Private Markets domain. Understanding the nuances of this sector will not only help you in interviews but also demonstrate your commitment and expertise to the hiring team.
✨Tip Number 2
Network with professionals in the data management field, especially those who have experience in real assets. Engaging with industry experts 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 managed data projects in the past. Highlighting your analytical problem-solving skills and delivery focus will resonate well with the interviewers.
✨Tip Number 4
Stay updated on the latest trends and technologies in data management. Being knowledgeable about current tools and methodologies will show that you're proactive and ready to contribute from day one.
We think you need these skills to ace Real Assets Data Manager
Some tips for your application 🫡
Understand the Role: Before you start writing your application, make sure you fully understand the responsibilities and requirements of the Real Assets Data Manager position. Highlight your relevant experience in private markets and data management to show that you are a perfect fit.
Tailor Your CV: Customise your CV to reflect the key skills and experiences mentioned in the job description. Emphasise your analytical problem-solving abilities and any previous roles that involved managing data delivery and stakeholder communication.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your enthusiasm for the role and the company. Mention specific examples of how you've successfully managed data projects or improved workflows in past positions.
Proofread and Edit: Before submitting your application, take the time to proofread your documents. Check for spelling and grammatical errors, and ensure that your writing is clear and concise. A polished application reflects your attention to detail, which is crucial for this role.
How to prepare for a job interview at With Intelligence
✨Understand the Role Thoroughly
Before the interview, make sure you have a solid grasp of the responsibilities and expectations of the Infrastructure & Real Estate Data Asset Manager role. Familiarise yourself with key terms like SLAs, KPIs, and data charters, as well as the specific deliverables expected from this position.
✨Showcase Your Analytical Skills
Since the role requires analytical problem-solving, be prepared to discuss your previous experiences where you've successfully tackled data-related challenges. Use specific examples to illustrate how you identified issues, developed solutions, and optimised data processes.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and concisely. Be ready to explain complex data concepts in simple terms, as you will need to liaise with various stakeholders across the company.
✨Prepare Questions for the Interviewers
Demonstrate your interest in the role and the company by preparing insightful questions. Ask about the current challenges the data team faces, how success is measured in this role, or what tools and technologies they use for data management. This shows that you're proactive and engaged.