At a Glance
- Tasks: Lead a dynamic team delivering innovative data solutions to clients.
- Company: Join Clearwater Analytics, a leader in cloud-native investment management.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace encouraging all applicants to apply.
- Why this job: Make a real impact in a fast-paced environment while developing your leadership skills.
- Qualifications: 4+ years in data management, strong communication, and problem-solving skills required.
The predicted salary is between 60000 - 80000 £ per year.
Job Summary: The Team Lead leads a technically sophisticated team responsible for delivering Clearwater’s Prism product to clients. They handle performance management, identify learning opportunities, and serve as an escalation point for important inquiries. They apply domain knowledge to ensure successful client delivery of Prism solutions, playing a crucial player/coach role. This role sits at the intersection of client reporting, data engineering, and people management. The ideal candidate thrives in ambiguous, fast‑evolving product environments, brings hands‑on technical depth in data pipelines and client reporting, and has a proven track record of leading cross‑functional, globally distributed teams.
Responsibilities
- Leads, mentors, trains and retains a team of analysts and delivery specialists.
- Owns end‑to‑end delivery of Prism implementations, ensuring quality, timeliness, and client satisfaction.
- Partners with Sales to scope, support, and close new Prism opportunities.
- Manages team performance through regular 1‑on‑1s, goal setting, and career development.
- Establishes and monitors project and delivery metrics; implements process improvements to reduce client escalation frequency.
- Identifies improvement opportunities and drives solutions across the Prism team.
- Operates within a global framework.
- Demonstrates effective management of both people and projects.
Required Skills
- Deep understanding of data pipeline design, data ingestion, and data normalization.
- Proficiency in SQL and query development for reporting and data analysis.
- Experience with client reporting platforms and building production‑grade reports.
- Strong client‑facing communication skills, including comfort managing escalations at senior levels.
- Strong computer skills, including proficiency in Microsoft Office.
- Excellent attention to detail and strong documentation skills.
- Outstanding verbal and written communication skills.
- Strong organizational and interpersonal skills.
- Exceptional problem‑solving abilities.
Education & Experience
4+ years of relevant experience. For internal candidates, people management experience is not‑essential.
Clearwater Analytics (NYSE: CWAN) is transforming investment management with the industry’s most comprehensive cloud‑native platform for institutional investors across global public and private markets. While legacy systems create risk, inefficiency, and data fragmentation, Clearwater’s single‑instance, multi‑tenant architecture delivers real‑time data and AI‑driven insights throughout the investment lifecycle. The platform eliminates information silos by integrating portfolio management, trading, investment accounting, reconciliation, regulatory reporting, performance, compliance, and risk analytics in one unified system. Serving leading insurers, asset managers, hedge funds, banks, corporations, and governments, Clearwater supports over $8.8 trillion in assets globally. Learn more at www.clearwateranalytics.com.
We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with the job description, we encourage you to still apply! You may be just what we’re looking for.
Prism Team Lead employer: Clearwater Analytics, LLC
As a leading employer in the data analytics sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. Located in a vibrant area, we offer competitive benefits, continuous professional development opportunities, and a commitment to diversity and inclusion, ensuring that every team member can contribute meaningfully and grow within the company.
StudySmarter Expert Advice🤫
We think this is how you could land Prism Team Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Clearwater Analytics, LLC!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Clearwater Analytics, LLC.
✨Apply Directly through Our Website
When you find a suitable opening like Prism Team Lead at Clearwater Analytics, LLC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Prism Team Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Clearwater Analytics, LLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Clearwater Analytics, LLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Clearwater Analytics, LLC
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Clearwater Analytics, LLC!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.