At a Glance
- Tasks: Lead the development of a cutting-edge data ecosystem for analytics and integrations.
- Company: Join Hiscox, a leading international insurance group with a strong brand and growth potential.
- Benefits: Enjoy a competitive salary, hybrid working, generous leave, and family medical cover.
- Other info: Be part of a diverse team that values inclusion and work-life balance.
- Why this job: Shape the future of data in a dynamic environment and make a real impact.
- Qualifications: Experience with GCP, Databricks, or Snowflake; strong communication and problem-solving skills.
The predicted salary is between 55000 - 65000 £ per year.
Hiscox is a diversified international insurance group with a powerful brand, strong balance sheet and plenty of room to grow. Listed on the London Stock Exchange and headquartered in Bermuda, Hiscox has over 3,000 staff across 14 countries and 34 offices. Hiscox’s Purpose: “We give people and businesses the confidence to realise their ambitions”. Hiscox values: Courage; dare to take a risk, Human; clean, fair, and inclusive, Ownership; passionate, commercial, and accountable, Integrity; do the right thing, however hard, Connected; together, build something better.
The Role: Hiscox intends to operate a Data Mesh architecture for supporting Analytics and Integrations across the group. This will be known as “the data ecosystem”. The Ecosystem Product Manager is a key leadership role within the Global Data Function. Responsible for setting the product strategy and detailed roadmap for the Data Ecosystem, ensuring the Ecosystem is capable of meeting both present and future Analytics, AI and Integration needs.
Key Responsibilities:
- Product Strategy & Vision: Define and communicate a clear vision for data ecosystem, setting strategic goals and roadmap that align with business objectives and market opportunities.
- Stakeholder Engagement: Collaborate with stakeholders to understand requirements, prioritise initiatives, and manage expectations.
- Strategic partnerships: Work with 3rd parties to generate fresh perspectives and ensure successful delivery partnerships.
- Product Development Lifecycle Management: Lead cross‑functional teams through ideation, design, development, testing, and deployment of data products, ensuring timely delivery and quality standards.
- Data Culture: Support the Data Engineering Chapter, ensuring technical blockers to good data culture are resolved within the roadmap.
- Data Governance & Compliance: Ensure compliance with data privacy regulations, data quality management practices are embedded in ecosystem design.
- Performance Monitoring & Optimisation: Track product performance using key metrics, conduct regular reviews, and implement enhancements based on data‑driven insights.
- Communication & Documentation: Produce clear documentation, reports, and presentations for stakeholders, ensuring transparency and alignment throughout the product lifecycle.
- Backlog Management: Own, refine, and prioritise the data ecosystem product backlog based on business value, technical needs, and stakeholder input.
- Cost Optimisation: Establish a value‑driven FinOps framework in collaboration with engineering, finance, and business.
Key Requirements / Person Specification:
- Technical Proficiency: Deep hands‑on expertise with GCP data and analytics services, plus working knowledge of Databricks and/or Snowflake.
- Business Acumen: Strong understanding of commercial strategies, market trends, governance frameworks and competitive landscapes.
- Analytical Thinking: Ability to interpret and analyse complex operational and financial datasets to inform product decisions.
- Product and Project Management: Experience delivering regulated, cloud‑based data platforms.
- Communication Skills: Exceptional communication skills, able to translate technical concepts for non‑technical stakeholders.
- Problem‑Solving Mindset: Proactive problem‑solver, able to identify and address platform risks and blockers to robust engineering and data culture.
Nice to Have:
- Knowledge or experience of Insurance industry.
- Experience leveraging Jira, Confluence or similar collaboration tools.
Diversity & Benefits: At Hiscox we care about our people. We hire the best people for the job and we’re committed to diversity and creating a truly inclusive culture. Our benefits package includes a bonus, contributory pension, 25 days annual leave plus 2 Hiscox days and a 4 week paid sabbatical with every 5 years’ worth of service, private medical for all the family and much more.
Technical Data Ecosystems Product Manager employer: Candour Solutions
Hiscox is an exceptional employer that prioritises diversity and inclusivity, fostering a collaborative work culture where employees can thrive. With a commitment to hybrid working, staff enjoy the flexibility to balance their professional and personal lives while benefiting from a comprehensive package that includes generous leave, a bonus scheme, and opportunities for career growth within a leading international insurance group.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Data Ecosystems Product Manager
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their values and how they align with yours. This will help you stand out and show that you're genuinely interested in being part of their team.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it relates to the role of Data Ecosystem Product Manager. Keep it concise and focus on how you can add value to their data initiatives.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Technical Data Ecosystems Product Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Data Ecosystem Product Manager. Highlight your experience with GCP, Databricks, and Snowflake, and showcase how your skills align with the responsibilities outlined in the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data ecosystems and how your previous experiences have prepared you for this role. Don't forget to mention your understanding of the insurance industry if you have it!
Showcase Your Communication Skills:Since this role involves engaging with various stakeholders, make sure to demonstrate your communication skills in your application. Use clear and concise language, and provide examples of how you've successfully communicated complex ideas in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Candour Solutions
✨Know Your Data Ecosystem
Before the interview, dive deep into the concept of a Data Mesh and how it applies to the role. Familiarise yourself with GCP services like BigQuery and Dataflow, as well as Databricks and Snowflake. Being able to discuss these technologies confidently will show that you're not just familiar with the tools but understand their strategic importance.
✨Engage Stakeholders Effectively
Prepare to discuss how you would engage with various stakeholders, from engineering teams to business leaders. Think of examples where you've successfully managed expectations and prioritised initiatives. This will demonstrate your ability to navigate complex organisational structures and ensure alignment across teams.
✨Showcase Your Problem-Solving Skills
Be ready to share specific instances where you've identified and resolved technical blockers or inefficiencies in previous projects. Highlight your proactive approach to problem-solving and how it has led to improved data culture or product delivery. This will resonate well with Hiscox's focus on ownership and integrity.
✨Communicate Clearly and Confidently
Practice explaining technical concepts in simple terms, as you'll need to translate complex ideas for non-technical stakeholders. Prepare a few key points about your vision for the data ecosystem and how it aligns with business objectives. Clear communication is crucial for this role, so make sure you convey your thoughts effectively.
