Data Operations Manager
- Sofia
- Data Management
- Permanent
- Hybrid
- Full Time
This vacancy has now expired. Please see similar roles below...
What you will do:
- Lead a team, with Line Management responsibility.
- Ensure the team is upskilled – including new hire onboarding and training of current team members
- Manage the team’s workload; ensure clients and partners have a smooth and harmonious experience of the delivery processes.
- Co-ordinating data deliveries with our sales teams and delivery analysts, encompassing resourcing, planning, prioritisation, and pipeline planning.
- Safeguard our delivery processes with accountability for process improvement and documentation maintenance
- Oversee and follow up on contracts with account managers and partners to ensure compliance with delivery standards.
You will report into the Head of Analytics.
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, provide digital 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 to 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 accomplished people and new advanced technologies to unlock the power of data and improve. 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.
What you will bring:
- 5+ years of experience as a People Manager, within an analytics or data science engineering function
- Fluent English
- Commercial data knowledge of regulatory and compliance requirements related to Data Processing and Data Protection.
- Knowledge of commercial credit & risk and business information data, analytical models and insights.
- Experience in agile delivery methodologies, with the ability to prioritise workload and manage partners effectively.
- Strong relationship-building skills with both technical and non-technical colleagues, translating complex concepts into simple terms.
- Experience in data science and analytics would be considered an advantage.
- Proficiency in programming languages such as SQL, Python, or similar would be considered an advantage.
What 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 & book.
- 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
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Explore Experian's award winning 'people first' culture.
Being part of Experian is exciting. Every day brings new challenges, new opportunities, new ways for us to do what we do best: using our innovative technologies and data to work in new and surprising ways. All brought together in a single thought: Discover the Unexpected.
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