Company Description
Experian is a global data and technology company that powers opportunities for people and businesses around the world. We help 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 in achieving their financial goals and help them save time and money.
We operate in a variety of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many other industry segments.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people in 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job Description
Job Description
Area Overview: Data Governance is the area that ensures business data is managed as a strategic company asset. It is responsible for establishing the standards, responsibilities, controls, and capabilities that enable trust in data, ensure its quality, govern its lifecycle, and enable its consistent use in products, processes, analytics, and digital transformation initiatives. This capability acts as a bridge between business, technology, risk, legal, compliance, and operations to ensure comprehensive data management and accelerate the adoption of data practices at an organizational scale.
Purpose of the role:
Define and lead the organization's comprehensive Data Governance agenda, ensuring that all business data—including core, alternative, consented, and historical data—is managed as a strategic asset through a governance model based on accountability, quality, traceability, and lifecycle management.
Responsible for evolving Data Foundation, Data Governance, Data Quality, and Data Lifecycle Management capabilities to ensure that information used and generated by products, processes, and business capabilities across all company verticals is reliable, consistent, scalable, and aligned with regulatory, risk, and business requirements.
The role leads the prioritization and execution of the Data Governance roadmap, mobilizing business, technology, risk, compliance, and operations, driving organizational adoption of data practices, and promoting the use of automation, advanced analytics, and GenAI to scale governance capabilities.
Key Responsibilities:
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Define and lead the Data Governance strategy and roadmap, aligning business priorities, regulation, risk, and other data area capabilities.
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Ensure comprehensive management of business data throughout its entire lifecycle (Data Lifecycle), including core, alternative, consented, and historical data.
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Lead the evolution of Data Foundation capabilities, including catalogs, glossaries, metadata, ownership, lineage, traceability, and other fundamental data management assets.
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Ensure the health and reliability of the organization's information assets by defining standards, metrics, controls, and monitoring mechanisms that allow for understanding, measuring, and continuously improving data quality from a technical, contextual, and business perspective.
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Define and implement an accountability model for information assets, ensuring clear responsibilities for their creation, management, consumption, and evolution.
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Drive the adoption of Data Governance practices across all business areas, articulating capabilities with technology, operations, risk, compliance, and product.
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Translate business needs into clear Data Governance priorities, facilitating decision-making and the execution of high-impact initiatives for the organization.
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Ensure that data used and generated by products, services, and business processes is consistent, reliable, traceable, and in accordance with regulatory and corporate requirements.
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Promote automation, innovation, and the use of GenAI to scale governance, quality, traceability, and monitoring capabilities, reducing reliance on manual processes.
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Develop and strengthen the Data Governance team's capabilities, raising their maturity level and ensuring the competencies required to support the organization's future evolution.
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Define indicators and tracking mechanisms to measure the adoption, quality, compliance, maturity, and impact of Data Governance capabilities.
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Act as a reference and cross-functional leader in data management, driving an organizational culture based on trust, responsible use, and strategic leveraging of information.
Qualifications
Qualifications
Education:
Professional degree in Systems Engineering, Industrial Engineering, Electronic Engineering, Mathematics, Statistics, Economics, Administration, or related fields.
Experience: More than 5 to 10 years of professional experience leading initiatives related to Data Governance, Data Quality, Information Management, Data Management, or Organizational Transformation.
Experience in information-intensive organizations such as financial services, Fintech, Telco, or Retail.
Experience leading Data Governance programs at a corporate or enterprise level.
Experience defining and implementing Data Governance, Data Foundation, Data Quality, and Data Lifecycle Management models.
Experience leading cross-functional initiatives with business, technology, risk, compliance, operations, and analytics. Experience building strategic roadmaps and translating organizational priorities into concrete execution initiatives.
Experience leading teams and developing organizational capabilities in transformation environments.
Experience managing change processes and organizational adoption around data.
Required technical knowledge: • Data Governance. • Data Lifecycle Management (DLC). • Data Foundation: Catalogs, dictionaries, Ownership, Lineage and Traceability, among others. • Data Quality Management and Data Trust Frameworks. • Risk, regulatory compliance, and management of data-associated controls. • Data architecture and ecosystems. • Data operating models. • Initiative management and strategic prioritization. • Data analytics and fundamentals of AI/GenAI related to DLC. • Automation and monitoring of data capabilities. • Maturity indicators and Data Governance metrics. Languages:
English, minimum Intermediate level.
Competencies:
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Strategic thinking and long-term vision, with the ability to transform business needs into sustainable Data Governance capabilities.
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High capacity for influence and cross-functional leadership, mobilizing business, technology, risk, compliance, and operations teams without direct hierarchical authority.
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Accountability and autonomy, assuming full responsibility for the function's results, defining priorities, and promoting execution without dependence on constant direction. 4. Executive communication, with the ability to translate complex data concepts into simple, clear, and actionable messages for different levels of the organization. 5. Organizational alignment and stakeholder management, building consensus and facilitating the adoption of Data Governance practices in different business areas. 6. Team development and leadership, strengthening capabilities, supporting the professional evolution of growing teams, and raising their level of technical and business maturity. 7. Prioritization and decision-making capacity, identifying the highest-impact initiatives for the business and properly managing time, resource, and capacity constraints. 8. Results and impact orientation, ensuring that Data Governance initiatives generate measurable benefits for the organization. 9. Innovation and continuous improvement mindset, driving new ways of working and promoting the use of automation, advanced analytics, and GenAI to scale governance and data quality capabilities. 10. Intellectual curiosity and continuous learning, staying updated on trends, technologies, regulations, and best practices related to data, AI, and digital transformation.
Additional Information
Our uniqueness is that we celebrate what makes us different. Experian's culture and people are key differentiators. We take our people agenda very seriously and focus on what really matters: DEI, work-life balance, development, authenticity, engagement, collaboration, well-being, reward and recognition, volunteering... and the list goes on. Experian's strong people-first approach has been awarded: Great Place To Work™ in 24 countries, FORTUNE Best Companies to work, and Glassdoor Best Places to Work (4.4 stars globally), to name a few. Take a look at Experian Life on social media or our careers site to understand why.
Experian is proud to be an equal opportunity and affirmative action employer. Innovation is a fundamental part of Experian's DNA and practices, and the diversity of our workforce drives our success. Everyone can succeed at Experian and bring their whole selves to work regardless of gender, ethnicity, religion, color, sexuality, physical ability, or age. If you have a disability or special need that requires accommodation, please let us know as soon as possible.
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