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- Tasks: Lead a major data transformation program and improve data quality.
- Company: Join a dynamic team in London focused on data management in the banking sector.
- Benefits: Enjoy a hybrid work model with flexibility and collaboration opportunities.
- Why this job: Make a significant impact on data practices while working with senior stakeholders.
- Qualifications: 10+ years as a Product Owner with expertise in data transformation and banking.
- Other info: Hands-on experience with SQL, MongoDB, and API contracts is essential.
The predicted salary is between 43200 - 72000 £ per year.
Job Title: Product Owner – Data Transformation
Location: London City, UK (Hybrid – 2/3 days in office)
Contract Type: Permanent/Contract
Job Summary:
We are seeking an experienced Product Owner with over 10 years of experience to join our team in London and lead a Large Data Customer Transformation Programme. The ideal candidate will have strong expertise in data management, data quality frameworks, and banking domain knowledge, along with excellent communication and stakeholder management skills.
This role will involve collaborating with senior stakeholders, defining data quality measures, managing data profiling, and driving data mapping and API contract agreements with consumers.
Key Responsibilities:
- Lead the Large Data Customer Transformation Programme, driving data quality improvements and operational processes.
- Define Data Quality Measures and establish Operational Models to manage data quality exceptions.
- Collaborate with senior stakeholders to gather requirements, present solutions, and ensure project alignment with business goals.
- Drive data profiling, data definitions, and data mapping activities to ensure robust data management practices.
- Document feed specifications and work closely with technical teams to define data flows and structures.
- Lead discussions to agree on API contracts with consumers to ensure smooth data integrations.
- Work closely with the MDM (Master Data Management) and ETL (Extract, Transform, Load) teams to manage data pipelines and ensure data accuracy.
Required Skills & Experience:
- 10+ years of experience as a Product Owner with a strong background in data transformation programmes.
- Excellent communication and presentation skills, including the ability to create and deliver PPT presentationsto senior stakeholders.
- Strong understanding of the Banking/Financial Services domain.
- Experience in defining and implementing data quality measures and operating models to manage exceptions.
- Knowledge of data profiling techniques and tools, with the ability to drive data definitions and data mapping.
- Hands-on experience in documenting feed specifications and agreeing on API contracts.
Technical skills including:
- SQL
- MongoDB
- Postman
- MDM (Master Data Management)
- ETL (Extract, Transform, Load)
Job N Job | Product Owner- Data Transformation Program employer: Job N Job
Contact Detail:
Job N Job Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Job N Job | Product Owner- Data Transformation Program
✨Tip Number 1
Make sure to highlight your extensive experience in data transformation programs during networking events or conversations. This will help you connect with industry professionals who may have insights or referrals for the Product Owner role.
✨Tip Number 2
Engage with online communities and forums related to data management and banking. Sharing your knowledge and asking questions can help you build a network that might lead to job opportunities at StudySmarter.
✨Tip Number 3
Consider reaching out to current or former employees of StudySmarter on LinkedIn. A friendly message expressing your interest in the Product Owner position can provide you with valuable insights about the company culture and the role itself.
✨Tip Number 4
Stay updated on the latest trends in data quality frameworks and banking domain knowledge. Being well-informed will not only boost your confidence but also demonstrate your commitment to the field during interviews.
We think you need these skills to ace Job N Job | Product Owner- Data Transformation Program
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years of experience as a Product Owner, especially in data transformation programmes. Emphasize your expertise in data management and the banking domain to align with the job requirements.
Craft a Compelling Cover Letter: In your cover letter, showcase your strong communication and stakeholder management skills. Provide specific examples of how you've led data quality improvements and collaborated with senior stakeholders in previous roles.
Highlight Technical Skills: Clearly list your technical skills such as SQL, MongoDB, Postman, MDM, and ETL in your application. Mention any relevant tools or techniques you have used for data profiling and mapping to demonstrate your hands-on experience.
Prepare for Interviews: Be ready to discuss your experience in defining data quality measures and operational models. Prepare to present solutions and articulate how you would drive data mapping and API contract agreements with consumers.
How to prepare for a job interview at Job N Job
✨Showcase Your Experience
With over 10 years of experience required, be ready to discuss specific projects where you've led data transformation initiatives. Highlight your role in defining data quality measures and how you collaborated with stakeholders.
✨Demonstrate Communication Skills
Since excellent communication is key, prepare to present a brief case study or example of how you effectively communicated complex data concepts to senior stakeholders. Use clear and concise language.
✨Familiarize Yourself with Banking Domain
Make sure you understand the banking and financial services domain well. Be prepared to discuss industry-specific challenges and how your experience can help address them in the context of data management.
✨Prepare for Technical Questions
Expect questions about your technical skills, especially regarding SQL, MongoDB, and ETL processes. Brush up on these topics and be ready to explain how you've used these tools in past projects.
