At a Glance
- Tasks: Lead enterprise data products and drive innovation across business domains.
- Company: Join a collaborative and innovative company that enables possibility.
- Benefits: Enjoy competitive salary, flexible working options, and career growth opportunities.
- Other info: Be part of a dynamic team shaping the future of data initiatives.
- Why this job: Make a real impact by solving complex business problems with talented colleagues.
- Qualifications: Experience in data product leadership and strong stakeholder management skills.
The predicted salary is between 75600 - 92400 £ per year.
With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential.
Our work is the catalyst that helps others achieve their goals.
In short, We Enable Possibility.1.
Enterprise Data Product Leadership Own the enterprise view of Data Products — ensuring consistency in: Standards, governance, and quality Lifecycle management (definition build adoption retirement)Ensure Data Products meet defined characteristics (e. g. trusted, consumable, governed, valuable)Drive adoption and value realisation across business domains Align Data Product strategy to enterprise priorities and outcomes2.
Cross-Domain Orchestration Act as the “glue” across domain-owned Data Products, ensuring: Alignment across Underwriting, Claims, Finance, etc.
Consistent prioritisation and sequencing across domains Management of interdependencies across products and domains Partner with: Data Domain Owners (DDOs) & Business Data Stewards (BDS)Other Strategic Operations Managers IT delivery teams Wider Data Office3.
Strategic Ops Manager (SOM) – Data Domain Act as the central intake point for Data-related demand into IT, shaping and structuring initiatives into a coherent, value-led portfolio.
Own and govern the Data roadmap, ensuring alignment to business priorities, enterprise strategy and defined OKRs.
Define priorities, outcomes and success measures for initiatives, ensuring clarity of ownership and accountability.
Partner with Product Owners and delivery teams to agree sequencing, manage dependencies and ensure delivery aligns to defined priorities and outcomes.
Ensure clear alignment between demand, prioritisation and capacity, optimising the value delivered across Data initiatives.
Lead forums to support prioritisation, decision-making and progress tracking across Data initiatives4.
Stakeholder Leadership Act as the primary interface between business, Data and IT, ensuring clear communication, alignment and engagement across all stakeholders.
Engage with senior stakeholders to shape demand, challenge priorities and drive accountability for outcomes and value delivery.
Represent Data Product priorities and outcomes at relevant governance forums, including executive and Steer Co-level discussions.
Build strong relationships across functions to support collaboration and alignment across the enterprise.
Do you like solving complex business problems, working with talented colleagues and have an innovative mindset?
Arch may be a great fit for you.
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Join our talent community to share your preferences directly with Arch’s Talent Acquisition team. 14101 Arch Europe Insurance Services Ltd Summary
Location: London, United Kingdom; Colchester, United Kingdom; Home Base, United Kingdom; Birmingham, United Kingdom
Type: Full time
Head of Data Products in Colchester employer: Arch Capital Group
At Arch Europe Insurance Services Ltd, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to reach their full potential. As a Senior Ceded Re Technician, you will benefit from extensive professional growth opportunities while working in a dynamic environment that values teamwork and continuous improvement. Located in a vibrant area, our company not only supports your career development but also encourages a healthy work-life balance, making it an excellent place for meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Products in Colchester
✨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 Arch Capital Group!
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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 Arch Capital Group.
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We think you need these skills to ace Head of Data Products in Colchester
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!
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Craft a Tailored Cover Letter:For a full-time role at Arch Capital Group, 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 Arch Capital Group. 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 Arch Capital Group
✨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 Arch Capital Group!
✨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.
