Job Description
Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job Description
We are looking for a Product Manager to help expand our Global Analytics product portfolio. You will play a critical part in ensuring scalable, efficient model development and platform capabilities across main projects such as Trusso and Feature Builder. You will work with cross-functional teams across the globe to create impactful solutions that support data science workflows and enterprise-wide innovation.
What you’ll do:
- Help deliver Trusso, Synthetic Data initiative and Feature Builder by managing product backlogs, defining requirements, and ensuring agreement on business goals.
- Collaborate with global technology and regional product teams to build and launch Analytics capabilities.
- Share and align product roadmaps.
- Align and track product launches against product roadmaps, applying our existing PI Planning process.
- Participate in all Agile ceremonies and contribute to the success of PI Planning
- Translate User Needs into Product Requirements: Gather input from internal stakeholders and end-users to define clear product requirements
- Guide communication between technical and non-technical teams, ensuring transparency, understanding, and updates on progress, risks, and dependencies.
- Establish KPIs to measure product success
- Refine product processes to enhance efficiency, reduce time-to-market.
- Help improve product development processes, documentation standards, and team collaboration.
Qualifications
What you’ll bring:
- 3–5 years of experience in product management in data, analytics, or platform-focused environments (preferably)
- University degree in Computer Science, Engineering, Data Science, Business, or a related field
- Knowledge of model development workflows and data science tools.
- Work with globally distributed teams and managing cross-timezone collaboration.
- Stakeholder management and problem-solving skills
- Familiarity with Agile methodologies and product development best practices
Additional Information
You will get:
- Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
- Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
- Social benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!
- Work-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.
- Opportunity for Flexible working hours and Home Office.
Experian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Hybrid
This is a hybrid remote/in-office role.
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