Enterprise Data Director in London

The purpose of this role is to lead a defined set of interdependent enterprise data projects to ensure successful delivery of the required outcomes.

Dentsu is an integrated growth and transformation partner to the world's leading organizations. Founded in 1901 in Tokyo, Japan, and now present in over 145 countries and regions, it has a proven track record of nurturing and developing innovations, combining the talents of its global network of leadership brands to develop impactful and integrated growth solutions for clients. Dentsu delivers end-to-end experience transformation (EX) by integrating its services across Media, CXM and Creative, while its business transformation (BX) mindset pushes the boundaries of transformation and sustainable growth for brands, people and society.

The Enterprise Data Director provides strategic leadership and direction for all aspects of the organization's data ecosystem on a global scale. This role will contribute to and execute the organization's enterprise data strategy. This role ensures alignment to the enterprise data model (data map and glossary, data governance, architecture) and collaborates with the other Business Functions to drive enterprise data quality, integration, master data management, and analytics initiatives across the enterprise. The director works cross-functionally with business leaders, technology teams, and data professionals to drive data-driven decision-making, operational efficiency, and innovation.

• Contribute and implement the enterprise data vision, strategy, and roadmap aligned with organizational goals.
• Develop and maintain the data map and glossary that provide the standard definitions for enterprise data.
• Champion a data-driven culture and promote the value of data as a foundation for standardization, simplification, AI, and automation across the enterprise.
• Partner with executive leadership to define key data priorities and performance metrics.

• Provide data consultancy to business platform, reporting, and analytics platform implementations, key changes to ensure alignment with enterprise data model and data architecture.
• Ensure enterprise data model alignment with master data management (MDM), metadata management, and data stewardship programs.
• Proactively engage in analyzing enterprise data management within business functions & platforms to identify areas of standardization, simplification, and innovation.

• Establish and lead enterprise data governance frameworks, policies, and standards.
• Define and monitor operational data KPIs and ROI to measure impact and maturity.
• Develop and monitor ways of working, engagement principles with other teams such as business functions, operations, and regions.
• Establish and maintain global data stewardship and ownership models to ensure accountability and data quality.

• Partner with enterprise technology to ensure enterprise data architecture is maintained, enabling scalability, interoperability, and consistency across systems.
• Oversee integration of data across disparate systems, including on-premises and cloud platforms.
• Partner with enterprise technology to ensure modern data infrastructure (e.g., data lakes, warehouses, pipelines) supports organizational needs.

• Implement data maturity frameworks, metrics, and continuous improvement processes.
• Collaborate with business functions to standardize data definitions and usage.

• Develop and maintain enterprise data training artifacts across learning platforms, internal publishing and collaboration platforms.
• Collaborate with business functions and regional stakeholders to improve data literacy by driving data awareness, training, and adoption.
• Drive the use of AI and automation for enterprise data team engagements.

• Build, mentor, and lead high-performing teams of data professionals (e.g., business analysts, data analysts).
• Foster collaboration and knowledge sharing across data-related disciplines.
• Manage vendor relationships and oversee/support selection of enterprise data tools and platforms.

• Education: Bachelor's degree in Computer Science, Information Systems, Data Science, or related field (Master's preferred).
• Experience: 12+ years of progressive experience in enterprise data management, governance, or architecture roles, with at least 5+ years in global leadership positions.
• Proven success developing and executing global data strategies within complex, matrixed, and regulated environments.
• Deep understanding of data governance, architecture, and integration best practices.
• Experience with modern data technologies (e.g., Azure, AWS, Snowflake, Databricks).
• Strong track record of collaboration with business and IT leadership.

• Strategic and operational leadership with the ability to align global initiatives to business outcomes.
• Excellent communication and stakeholder management across executive and technical audiences.
• Strong understanding of emerging data technologies and trends (AI/ML, data mesh, automation).
• Ability to manage complexity, ambiguity, and change at a global scale.
• High emotional intelligence and intercultural competence.

• Successful implementation of enterprise data strategy and governance frameworks.
• Improvement in data maturity, quality, accessibility, and usage across the organization.
• Measurable business impact from data-driven insights.
• Increased efficiency and consistency of enterprise data operations.
• Employee engagement and retention within the enterprise data organization.

• You'll have a great compensation package, private health & dental insurance, corporate discounts and career development through Dentsu University, and free access to LinkedIn learning.
• 29+ days of annual leave (25 days of regular holidays, birthdays off and 3 additional wellness days).
• We also offer the opportunity to volunteer for up to 2 days per year and tend to close down the agency between Christmas and New Years.
• You'll have a hybrid working schedule, with flexible start/end hours.

At Dentsu, we embrace diversity and inclusion, valuing the unique perspectives and contributions of every individual. We believe that diversity fuels creativity and innovation, benefiting our employees, partners, and communities. We welcome applications from all individuals, regardless of race, ethnicity, nationality, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other protected characteristic. Beyond recruitment, we strive to create an environment where everyone feels respected, supported, and empowered to bring their authentic selves to work. We recognize the importance of work-life balance and are open to discussing flexible working arrangements for all roles. If you need reasonable adjustments due to a disability or medical condition during our recruitment process, please contact us, quoting the reference number of the role that you are applying for. Your needs will be handled with respect and confidentiality to ensure an inclusive and accessible experience.