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- Tasks: Lead the vision and delivery of innovative data products that drive business value.
- Company: Dynamic company focused on data, AI, and customer insights.
- Benefits: Competitive salary, bonus, and comprehensive benefits package.
- Other info: Collaborative environment with opportunities for continuous improvement and career growth.
- Why this job: Transform business challenges into scalable data solutions and drive innovation.
- Qualifications: 8+ years in Data Product Management with strong technical skills.
Location: Kilkenny / Dublin
Salary: €80,000 - €110,000 + Bonus + Benefits
Reports to: Data, AI & Analytics Director
Shape the Future of Data, AI & Customer Insight
We're looking for an experienced and strategic Customer & Consumer Data Product Owner to lead the vision, development, and delivery of innovative data products that drive real business value. This is a high-impact role for someone passionate about transforming business challenges into scalable data and AI solutions, while leading cross-functional collaboration across business and technology teams.
What You'll Do
- Define and own the Customer & Consumer Data Product strategy and roadmap
- Partner with business stakeholders to identify opportunities where data, analytics, and AI can solve key challenges
- Translate business requirements into actionable technical solutions across BI, analytics, data modelling, and AI
- Lead and manage the Data Product team to deliver secure, scalable, and high-value data solutions
- Collaborate with architects, platform teams, governance, security, and compliance stakeholders
- Prioritise product backlogs and align delivery with business priorities
- Drive innovation through automation, self-service analytics, and AI-driven insights
- Champion continuous improvement and emerging technologies within the data ecosystem
What We're Looking For
- 8+ years' experience in Data Product Management, BI, Data Engineering, or related fields
- Strong experience delivering end-to-end data solutions
- Expertise with tools such as Tableau, SAP Analytics Cloud, SAP BW/Datasphere, Azure Databricks, SQL, and Python
- Proven ability to influence senior stakeholders and translate complex requirements into business value
- Strong communication, leadership, and problem-solving skills
- Experience working with Customer and/or Consumer Data
- Degree in Data Science, Computer Science, IT, Engineering, or related discipline
- Certifications such as Agile, SAFe®, or Google Data Analytics are advantageous
Data Product Owner in Dublin employer: 83zero Ltd
Contact Detail:
83zero Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Owner in Dublin
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. Attend industry meetups or webinars, and don’t be shy about introducing yourself. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your best data projects. Use platforms like GitHub or even a personal website to display your work. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to data product management. Think about how you would tackle real-world problems using data and AI. We recommend doing mock interviews with friends or mentors to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team. Don’t forget to tailor your application to highlight your experience with tools like Tableau and SQL!
We think you need these skills to ace Data Product Owner in Dublin
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Product Owner. Highlight your experience in data product management and any relevant tools you've used, like Tableau or SQL. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about transforming business challenges into data solutions. Share specific examples of your past successes and how they relate to the role.
Showcase Your Leadership Skills: As a Data Product Owner, you'll be leading teams and influencing stakeholders. Make sure to highlight your leadership experiences and problem-solving skills in your application. We love seeing how you’ve driven innovation in previous roles!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at 83zero Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like Tableau, SQL, and Python. Brush up on your knowledge of data product management and be ready to discuss how you've used these tools to deliver end-to-end data solutions in your previous roles.
✨Showcase Your Strategic Thinking
Prepare examples that demonstrate your ability to define and own a product strategy. Think about times when you identified opportunities for data and AI to solve business challenges, and be ready to explain how you translated those into actionable solutions.
✨Highlight Your Leadership Skills
As a Data Product Owner, you’ll need to lead cross-functional teams. Be prepared to share experiences where you’ve successfully managed teams or projects, particularly in delivering high-value data solutions. Emphasise your communication skills and how you’ve influenced stakeholders.
✨Embrace Continuous Improvement
Discuss your passion for innovation and how you’ve driven improvements in your previous roles. Bring examples of how you’ve implemented automation or self-service analytics, and be ready to talk about any emerging technologies you’re excited about in the data ecosystem.