At a Glance
- Tasks: Lead data sourcing and management while exploring AI/ML opportunities.
- Company: Top financial data provider in Camden, London with a dynamic team.
- Benefits: Competitive salary, hands-on leadership role, and career development.
- Other info: Office-based role with opportunities for travel and professional growth.
- Why this job: Make an impact in the financial sector with innovative data solutions.
- Qualifications: 10+ years in data analytics, strong leadership, and data governance expertise.
The predicted salary is between 80000 - 100000 € per year.
A Head of Data Sourcing / Gathering is required to join a leading provider of economic and financial data based in London. This is a full-time, office-based position working Monday to Friday.
Please note: applicants must have previous experience working for a data vendor.
Reporting directly to the CEO, the Head of Data Sourcing / Gathering will be responsible for the day-to-day management of IPL Data. Operating across multiple facilities, the role requires a high level of coordination to ensure accurate, high-quality data is delivered to clients efficiently and on time.
The company provides global financial data services to financial institutions, including corporate actions, pricing, reference data and analytics. Their flexible data solutions support trading, risk management, compliance and financial analysis across a wide range of asset classes including equities, derivatives, fixed income, economic indicators, investment funds and tax data. Services are delivered through multiple channels, including APIs.
- Lead the day-to-day management of IPL Data in a hands-on leadership role
- Assist with training and development across teams
- Ensure client complaints and suggestions are managed effectively, acting as the final escalation point before the CEO
- Explore new data sources, data gathering methodologies and opportunities to utilise Machine Learning and Artificial Intelligence (AI)
- Travel as required
- Define and maintain company governance policies
- Develop scalable and automated data products and reporting processes
- Define and monitor KPIs relating to data quality, accuracy and reliability
- Ensure compliance with company quality and security policies and procedures
- Ensure all staff operate in accordance with company policies and procedures
Bachelor’s degree in Computer Science, Data Science, Business, Economics or a related discipline
~10+ years’ experience in data, operations and/or analytics
Extensive hands-on experience in data gathering and developing data products
Proven success delivering and implementing data strategies
Ability to provide subject matter expertise on data governance and best-practice principles
Previous experience working as a Data Sourcer and developing data products
Proven track record of building and deploying data-driven solutions
Flexible and adaptable approach
In line with the Asylum & Immigration Act, all applicants must be eligible to live and work in the UK.
Chief Data Analytics Officer (AI/ML) in London employer: JobHeron
Join a dynamic and innovative team in Camden, London, where we prioritise employee growth and development in the fast-paced world of financial data services. Our collaborative work culture fosters creativity and encourages the exploration of cutting-edge technologies like AI and Machine Learning, ensuring that you are at the forefront of industry advancements. With competitive salaries and a commitment to maintaining high-quality standards, we offer a rewarding environment for professionals looking to make a significant impact in the data analytics field.
StudySmarter Expert Advice🤫
We think this is how you could land Chief Data Analytics Officer (AI/ML) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Attend industry events or webinars, and don’t be shy about introducing yourself to potential employers. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous work in data sourcing and analytics. Use real examples of how you've implemented data strategies or improved processes. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by researching the company and its data products. Understand their services and think about how your experience aligns with their needs. We want you to walk in confidently, ready to discuss how you can contribute to their success!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s make some data magic happen together!
We think you need these skills to ace Chief Data Analytics Officer (AI/ML) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Chief Data Analytics Officer role. Highlight your experience in data sourcing and analytics, and don’t forget to mention any hands-on leadership roles you've had. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this position. Share specific examples of your previous successes in data management and how you’ve implemented data strategies. We love a good story!
Showcase Your Skills:Don’t just list your skills; demonstrate them! If you have experience with AI/ML or developing data products, make sure to include that in your application. We’re looking for someone who can bring innovative ideas to the table.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at JobHeron
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data sourcing and analytics. Brush up on your knowledge of AI and ML applications in data gathering, as this will show your potential employer that you’re not just familiar with the basics but are also ahead of the curve.
✨Showcase Your Leadership Skills
As a Chief Data Analytics Officer, you'll need to demonstrate your ability to lead teams effectively. Prepare examples from your past experiences where you successfully managed teams, resolved conflicts, or implemented training programmes. This will highlight your hands-on leadership style.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle specific challenges related to data quality and client complaints. Think through potential scenarios and formulate your responses, focusing on your problem-solving skills and your approach to maintaining high standards in data governance.
✨Understand the Company’s Data Products
Research the company’s existing data solutions and be ready to discuss how you can contribute to their development. Familiarise yourself with their APIs and other delivery channels, and think about innovative ways to enhance their offerings using your expertise in data analytics.
