At a Glance
- Tasks: Lead exciting data projects and drive transformation in a dynamic insurance environment.
- Company: Join Starr, a rapidly growing global insurance and investment organisation.
- Benefits: Enjoy competitive salary, professional development, and a diverse, inclusive workplace.
- Other info: Great opportunities for career growth and skill development in a supportive team.
- Why this job: Be at the forefront of data innovation and make a real impact on business success.
- Qualifications: Experience in project management and a passion for data and analytics.
The predicted salary is between 58540 - 71548 £ per year.
Starr is a global insurance and investment organisation providing property and casualty insurance solutions to business and industry. Starr has grown into one of the world’s fastest-expanding insurance organisations, writing business in 128 countries across six continents. Our talented and experienced associates manage risk and ultimately support the profitable growth of organisations in a dynamic, competitive and ever-changing marketplace.
In London, Starr operates at the heart of the global specialty insurance market. Through our Lloyd’s platform and company market presence, we bring together deep underwriting expertise, strong broker relationships and meaningful capacity across a broad range of classes. We work in close partnership with brokers and clients, combining data, insight and experience to respond quickly, cut through complexity and deliver clear, practical solutions.
The Data Team sits at the centre of a significant period of change. Following Starr’s acquisition of the IQUW syndicate, an integration programme is under way to bring IT, Data and Underwriting infrastructure together across the combined business, running alongside the continued build-out of the DNA Hub Data Lakehouse into business functions.
The Data Project Manager role is the delivery backbone of that work: it owns the project management office for a portfolio of circa 20 projects spanning both, sets the delivery standards and governance the Data Team works to, and gives leadership a single, trusted view of portfolio health. The role is accountable for the quality and consistency of delivery across the portfolio as well as individual projects, and works closely with the Head of Data Engineering and Delivery, the Chief Data and Digital Officer, delivery and project managers, and business stakeholders across Underwriting, Claims, Finance and Central MI.
Exciting Opportunity: Join Starr at a pivotal point – a multi-year Data & Analytics transformation running alongside the integration of the recently acquired IQUW syndicate, using modern cloud technologies to build a market-leading Data Team and a cloud-enabled Data Lakehouse that supports the current and future data needs of the combined business.
Key Responsibilities
- Direct Project Delivery: Own delivery of assigned projects end to end, from initiation and planning through execution to benefits handover and closure. Manage scope, schedule, budget and resources on those projects, and hold delivery teams to the commitments made.
- PMO Leadership & Governance: Maintain portfolio reporting and governance frameworks that give clear visibility of project health, progress and dependencies across the data portfolio. Own the project management standards, templates and best practice the Data Team delivers to, and keep them practical by applying them on your own projects.
- Portfolio Prioritisation & Stakeholder Management: Work with senior stakeholders to prioritise projects on business value, strategic alignment and resource availability. Provide regular portfolio health reporting to the leadership team, covering progress against milestones, budget status, resource utilisation and benefits realisation.
- Delivery Excellence: Coach and mentor project managers and delivery teams in PMO standards and best practice. Support project teams in applying Scaled Agile methods, and ensure Azure DevOps is used consistently for project tracking, reporting and collaboration.
The above duties and responsibilities are not an exhaustive list, and you may be required to undertake other reasonable duties compatible with your experience and competencies. This description may be varied from time to time to reflect changing business requirements.
Qualifications, skills and experience
- Proven track record of running a PMO or managing a complex portfolio of concurrent projects, with demonstrable expertise in portfolio reporting, governance, resource planning and capacity management.
- Personal track record of delivering technical projects end to end – planning, delivery and handover – to agreed time, budget and quality.
- Strong background in delivering technical projects, with exposure to data, analytics or digital transformation initiatives.
- Hands-on experience of Azure DevOps for planning, tracking, reporting and collaboration.
- Practical experience of implementing and working within (Scaled) Agile frameworks in a multi-team delivery environment.
Starr is an equal opportunity employer, which means we will consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees.
Data Project Manager in City of London employer: Starr
Starr is an excellent employer that prioritises employee growth and development, offering a supportive work culture where learning is at the forefront. With a hybrid working model, employees enjoy the flexibility of working from home while also benefiting from in-person collaboration three days a week. The company fosters a positive environment for professional advancement, making it an ideal place for those looking to make a meaningful impact in their careers.
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We think this is how you could land Data Project Manager in City of London
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We think you need these skills to ace Data Project Manager in City of 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 Starr. 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.
