Product Owner - Customer Data

Neotalent Conclusion
Barcelona, Spain
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
8 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Customer Data Management Data Architecture Data Deduplication Data Governance Data Transformation Power BI Data Streaming Unstructured Data Data Management

Job description

  • Lead the development and evolution of customer data definitions, frameworks, and best practices across multiple entities.
  • Contribute to the definition of data requirements covering data quality, governance, data products, architecture, platforms, and unstructured data management.
  • Define and support data quality and data readiness assessments to measure business and data maturity across entities.
  • Design and contribute to the delivery of data quality and data readiness dashboards using Power BI.
  • Define and support the implementation of data quality remediation plans aligned with business objectives.
  • Collaborate closely with Group Data Office teams, Data Architects, Data Governance specialists, and business stakeholders.
  • Support strategic initiatives related to Compliance, Growth, Customer Data, Customer 360, and AI solutions.
  • Engage with international stakeholders to ensure alignment with corporate standards, regulations, and local constraints.
  • Drive consistency and scalability of customer data solutions across the organization.

Requirements

  • Minimum 8 years of experience as a Product Owner in data-related initiatives, Data Management, Data Analysis, or Customer Data domains.
  • Strong expertise in Data Management concepts, including Data Quality, Data Governance, and Unstructured Data Management.
  • Good understanding of Data Architecture concepts, including Data Flows, APIs, and Data Platforms.
  • Proven experience within the Customer Data domain and customer-related processes, ideally in the insurance industry.
  • Experience with Master Data Management (MDM), deduplication processes, and customer data frameworks.
  • Hands-on experience in global Customer 360 initiatives, including scoping, stakeholder management, requirements gathering, and solution design.
  • Knowledge of Data Product and Data Mesh concepts.
  • Experience with Know Your Customer (KYC), eKYC, and eIDV initiatives.
  • Fluent English is mandatory.
  • Excellent stakeholder management and communication skills in multicultural environments.
  • Permanent contract with Neotalent Conclusion, working exclusively for the client.
  • International and dynamic environment with English as the working language.
  • Participation in strategic global data transformation initiatives.
  • Access to continuous training and certifications.
  • Opportunity to work on cutting-edge Customer Data, Data Governance, Customer 360, and AI-related projects.

About the company

Neotalent Conclusion is one of the largest Iberian specialists in Information Technology and Engineering talent acquisition and management. As part of the Dutch group Conclusion, an ecosystem of 25 companies and 3,600 employees, we focus on increasing our clients’ technological capacity and accelerating their digital transformation.

At Neotalent Conclusion, we are talent specialists. We attract the best professionals and combine them with the most ambitious projects at the right time. Our success comes from investing in innovation, being results-oriented, and, above all, ensuring that people have happy and fulfilling careers.

With more than 25 years of experience, Neotalent Conclusion has offices in Madrid, Lisbon, and Porto. Our company is made up of a team of more than 850 professionals across its different areas of operation.

Neotalent, the responsive people.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jobleads.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:50 min

Lowering pipeline latency with data streaming

Nathaniel Okenwa Nathaniel Okenwa · WWC 2024

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

2:36 min

Integrating business experts and conceptualizing analytical use cases

Stefan Donsa Stefan Donsa +1 · LIVE

2:13 min

Modernizing legacy applications for real-time streaming data consumption

Farooq Sheikh Farooq Sheikh +3 · WWC 2025

Videos

See all

Related articles

See all