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For Companies At a Glance
- Tasks: Lead data strategy and develop innovative data solutions for investment decisions.
- Company: Join a leading private equity firm focused on data-driven decision-making.
- Benefits: Enjoy a dynamic work environment with opportunities for professional growth and mentorship.
- Why this job: Make a meaningful impact in data science while collaborating with top industry leaders.
- Qualifications: Experience in data science, analytics, and leadership within financial services is essential.
- Other info: Stay ahead of industry trends and drive innovation in a fast-paced investment landscape.
The predicted salary is between 72000 - 108000 £ per year.
An exciting opportunity has arisen for an experienced data leader to drive innovation and enhance data-driven decision-making at a leading private equity firm. This role will spearhead the development of cutting-edge data solutions, leveraging advanced analytics, predictive modeling, and machine learning to optimize investment strategies and operational efficiency.
The Role
As Head of Data , you will be responsible for shaping and executing the firm’s data strategy, working closely with stakeholders across technology, investment, and transformation teams.
Your expertise in data engineering, analytics, and machine learning will play a pivotal role in building scalable data solutions, refining governance frameworks, and enhancing analytical capabilities.
Key Responsibilities
- Collaborate with senior leadership to refine and implement the firm’s data science strategy, aligning it with broader business priorities.
- Design and develop data platforms, pipelines, and analytical tools that support investment decision-making and risk management.
- Drive innovation by applying advanced machine learning techniques, AI, and predictive modeling to private markets investment challenges.
- Oversee data governance, ensuring high-quality, structured, and unstructured data is effectively managed and utilized.
- Enhance reporting and analytics capabilities, creating intuitive dashboards and user-centric analytical solutions.
- Lead a high-performing data team, providing mentorship, professional development, and fostering a culture of continuous improvement.
- Monitor industry trends, regulatory developments, and emerging technologies to keep the firm at the forefront of data innovation.
- Establish KPIs to measure the success of data initiatives and provide insights to senior leadership.
Requirements
- Experience leading data science, data engineering, or analytics, ideally within investment management, financial services, or private markets.
- Strong technical expertise in data architecture, data lakes, and cloud platforms, including experience with machine learning frameworks (TensorFlow, PyTorch, Hugging Face) and big data processing (Spark, Synapse).
- Proven track record of leading high-performing teams and driving data-led transformation within a complex organization.
- Strong strategic mindset with the ability to translate data insights into actionable business outcomes.
- Excellent communication skills, with the ability to influence senior stakeholders and drive cross-functional collaboration.
This is a unique opportunity to shape the future of data science and engineering within a dynamic investment environment. If you’re a forward-thinking data leader looking to make a meaningful impact, I’d love to hear from you.
Head of Data - Private Markets employer: twentyAI
Contact Detail:
twentyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data - Private Markets
✨Tip Number 1
Make sure to showcase your experience in leading data teams and driving data-led transformations. Highlight specific projects where you successfully implemented advanced analytics or machine learning solutions, as this will resonate with the firm's focus on innovation.
✨Tip Number 2
Familiarize yourself with the latest trends in data governance and cloud platforms. Being able to discuss how you've managed high-quality data and utilized it effectively will demonstrate your alignment with the firm's goals.
✨Tip Number 3
Prepare to discuss your strategic mindset and how you've translated data insights into actionable business outcomes in previous roles. This will show that you can align the data strategy with broader business priorities.
✨Tip Number 4
Network with professionals in the private equity and investment management sectors. Engaging with industry peers can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace Head of Data - Private Markets
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, engineering, and analytics, especially within investment management or private markets. Use specific examples of projects where you've applied machine learning techniques or developed data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data innovation and how your strategic mindset aligns with the firm's goals. Mention your experience leading high-performing teams and driving data-led transformations, and how you can contribute to their data strategy.
Showcase Technical Expertise: Clearly outline your technical skills related to data architecture, cloud platforms, and machine learning frameworks. Provide examples of how you've utilized these skills to optimize investment strategies or enhance operational efficiency.
Highlight Leadership Experience: Emphasize your experience in leading teams and mentoring others. Discuss how you've fostered a culture of continuous improvement and collaboration, and how this will benefit the firm’s data initiatives.
How to prepare for a job interview at twentyAI
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data architecture, machine learning frameworks, and big data processing. Highlight specific projects where you've successfully implemented these technologies to drive business outcomes.
✨Demonstrate Strategic Thinking
Illustrate how you've aligned data strategies with broader business goals in previous roles. Use examples to show your ability to translate complex data insights into actionable strategies that benefit the organization.
✨Highlight Leadership Experience
Discuss your experience leading high-performing teams and fostering a culture of continuous improvement. Share examples of how you've mentored team members and driven data-led transformations within your organization.
✨Prepare for Stakeholder Engagement
Since this role involves collaboration with senior leadership and cross-functional teams, practice articulating your ideas clearly and persuasively. Be ready to discuss how you can influence stakeholders and drive collaboration across different departments.
