At a Glance
- Tasks: Lead the development and management of innovative Data Products and machine learning initiatives.
- Company: Join a collaborative company focused on progress and innovation.
- Benefits: Enjoy a competitive salary, health benefits, and opportunities for professional growth.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Make a real impact by driving data strategy and enhancing business outcomes.
- Qualifications: Proven experience in data product leadership and strategic operations.
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. Enterprise Data Product LeadershipOwn the enterprise view of Data Products — ensuring consistency in:Standards, governance, and qualityLifecycle management (definition build adoption retirement)Ensure Data Products meet defined characteristics (e.g. trusted, consumable, governed, valuable)Drive adoption and value realisation across business domainsAlign Data Product strategy to enterprise priorities and outcomes2. Cross-Domain OrchestrationAct as the “glue” across domain-owned Data Products, ensuring:Alignment across Underwriting, Claims, Finance, etc.Data Domain Owners (DDOs) & Business Data Stewards (BDS)Other Strategic Operations ManagersIT delivery teamsWider Data Office3. Strategic Ops Manager (SOM) - Data DomainAct 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.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 LeadershipAct as the primary interface between business, Data and IT, ensuring clear communication, alignment and engagement across all stakeholders.Represent Data Product priorities and outcomes at relevant governance forums, including executive and SteerCo-level discussions.Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team. Home Base, United Kingdom; Birmingham, United KingdomType: Full time
Head of Data Products & ML in London 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 & ML in London
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We think you need these skills to ace Head of Data Products & ML in London
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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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!
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✨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.