PMO Analyst - Data Team

At Hiscox we care about our people. We hire the best people for the work, and we're committed to diversity and creating a truly inclusive culture, which we believe drives success. We embrace hybrid-working practices, balancing the ability to work remotely with the culture and energy we experience when we are face‐to‐face in our offices. Our focus on collaboration and cross‐functional working is supported with virtual tools that minimise physical travel, hot‐desking neighbourhoods that create a physical sense of community and Team Charters that our teams co‐create to set out how they'll work together.

This modern way of working has contributed to impressive employee engagement scores across Hiscox and means we're delivering even better solutions for our Hiscox Colleagues. As an international specialist insurer we are far removed from the world of mass market insurance products. Instead we are selective and focus on our key areas of expertise and strength— all of which is underpinned by a culture that encourages us to challenge convention and always look for a better way of doing things. We insure the unique and the interesting. And we search for the same when it comes to talented people. Hiscox is full of smart, reliable human beings that look out for customers and each other. We believe in doing the right thing, making good and rebuilding when things go wrong. Everyone is encouraged to think creatively, challenge the status‐quo and look for solutions.

The Hiscox Data Team is transforming data maturity across the organisation to accelerate business growth and efficiency using Data, Analytics, and AI. The virtual team consists of a central function driving alignment, Business Unit teams identifying commercial value and providing execution capacity and technology providing for Data Engineering and ML Operations services. We aim to empower colleagues by improving data fluency and promote a data‐driven, insight‐led culture that supports informed, customer‐centric decisions. Commercial focus, continuous improvement and product centric delivery is at the heart of everything we do.

We are looking for a highly organized and analytical PMO Analyst to support the delivery of strategic data initiatives. This role will play a key part in enabling data‐driven transformation across underwriting, claims, pricing, customer experience, and regulatory compliance. You will ensure robust governance, reporting, and operational support across a portfolio of data projects.

Key responsibilities:

• Project Governance & Support of the portfolio of data projects
• Maintain the WAVE project management tool for updates to project status, milestone tracking, risks, issues, financial tracking, KPI's and regular reporting to the Transformation Office.
• Support project managers in planning, documentation, and delivery assurance.
• Reporting & Insights to support the Group Data team planning and delivery roadmap of the agreed Data Strategy.
• Provide insights into data project performance using tools like PowerBI, Excel, and JIRA.
• Prepare reporting packs for project steering committees, risk forums, and Transformation Office.
• Financial & Resource Management support.
• Assist in budget tracking and forecasting for the data programme and projects, including vendor spend and internal resource allocation.
• Monitor capacity planning across data teams, proactively identify potential resource contention.
• Work closely with stakeholders in the Group Data team, other Group functions, Transformation Office, and the Business Units to ensure alignment and transparency.
• Facilitate workshops and meetings to support planning, retrospectives, and continuous improvement.
• Ensure accurate data capture and reporting.
• Support integration of project data with enterprise platforms.
• Promote best practice – explain, negotiate, embed and agree best change methodology and governance and develop knowledge management for future projects from past projects.
• Post Implementation Review / Health Checks – accountable for ensuring all deliveries are reviewed at key points and when completed.
• Governance/Compliance – enhance and maintain governance for the delivery of the project portfolio, defining clear roles, responsibilities and accountabilities ensuring project delivery is compliant to the standards.
• Quality management and assurance – establish and manage a schedule of gates and quality reviews to ensure and assure the required change quality standards are consistently delivered.
• Risk, issue and dependency management – work with relevant project management and stakeholders to identify, manage and track risks, issues and interdependencies across the data project portfolio.
• Relationship Management – Establishing and maintaining relationships with stakeholders. Actively engage and work collaboratively with colleagues and partners.
• Collaboration – works as a trusted partner to the business to add value to process and projects by suggestion of new and enhancing ideas for better outcomes.

Skills:

• Experience in a PMO Analyst role within the insurance or financial services sector.
• Strong understanding of project management methodologies (Agile, Waterfall, Hybrid).
• Proficiency in Excel, PowerPoint, and reporting tools (e.g., Power BI, JIRA).
• Familiarity with insurance data domains such as underwriting, claims, pricing, and regulatory reporting.
• Able to produce consistent, high‐quality work with limited supervision and oversight.
• Able to prioritise competing demands in a challenging delivery environment to ensure that work is delivered to tight timelines.
• Able to work proactively.
• Able to remain composed in stressful situations and work under pressure.
• Organised in work and in time management, with excellent attention to detail.

Person Specification:

• Proven track record in Project Management support, Financial Services preferred but not essential.
• Excellent communicator and recognising when to adapt their use of language and terminology according to the stakeholders level of knowledge and awareness.
• This role is not expected to be a technical practitioner, the successful candidate needs to have a strong appreciation and knowledge of methodologies, tools, platforms, frameworks, and approaches to enable appropriate management and governance of the data projects portfolio.
• Knows what good looks like, can clearly define and describe this in simple terms.