Data Excellence Lead

Job Description

Data Excellence Lead – UK & Ireland

As a Data Excellence Lead you will be working in close collaboration with cross-functional partners in the UK & Ireland, IBU, ICC/GCC and global DD&T teams. You will lead the UK & Ireland data excellence agenda and partner with teams across Commercial, Access, Medical, Finance and DD&T to strengthen data foundations, improve data quality, scale adoption of data products, and enable better business decision-making.

You will act as a business-facing DD&T partner for the UK & Ireland, ensuring global capabilities are deployed, adopted, and optimized to support customer engagement objectives and measurable business outcomes. You will partner with cross-functional teams, including Commercial, Access, Medical and Finance, to define and manage the UK & Ireland data excellence roadmap and co-create deliverables with IBU DD&T.

You will lead and implement data integration and EDB ingestion priorities for the UK & Ireland, ensuring data is fit for use, consumable by analytics and product teams, and connected to clear business needs. You will act as a data ambassador, partnering with cross-functional teams to raise data and technology fluency across the UK & Ireland and build a stronger data-driven culture.

• Lead & implement data stewardship for the UK & Ireland. Set the stewardship approach with data owners and stewards, lead dataset reviews and issue prioritization, and ensure critical datasets have clear definitions, ownership, quality expectations, and usage guidance.
• Partner with IBU DD&T. Co-create data standards, data quality KPIs, tools and technologies, ensuring UK & Ireland priorities are reflected and aligned with broader DD&T direction.
• Embed global data standards locally. Lead the local application of data standards, align local field names and values to global definitions, maintain mapping tables, and manage exceptions so local data remains interoperable with global products.
• Partner with ICC/GCC for scalable delivery. Define outcomes, clarify delivery expectations, remove blockers, and ensure DD&T products and services are delivered with quality, adoption, and business value in mind.
• Lead & implement data quality management and remediation cycles. Execute recurring data quality monitoring, prioritize issues based on business impact, partner with source system SMEs on root causes, and ensure fixes are implemented through rules, transformations, process changes, or data corrections.
• Drive data documentation that makes data usable. Ensure data dictionaries, dataset descriptions, lineage notes, refresh frequency, business rules, and usage guidance are available, maintained, and practical for analysts, product teams, and business users.
• Lead & implement data integration and ingestion activities. Drive onboarding of data sources into EDB by aligning source profiling, extraction requirements, transformation logic, validation rules, and publishing steps with business needs and platform requirements.
• Own the UK & Ireland data roadmap and backlog. Maintain and prioritize the backlog across integrations, data fixes, governance activities, and capability improvements, and provide clear progress updates, risks, dependencies, and decisions needed to UK & Ireland stakeholders.
• Lead data fluency and adoption across the UK & Ireland. Partner with cross-functional teams to deliver practical enablement through training, office hours, playbooks, and reusable examples that improve how teams request, interpret, and use data.

• 5+ years of experience in data, analytics, digital, commercial excellence, or related disciplines, including experience leading cross-functional initiatives.
• Strong understanding of Takeda technology, data ecosystem, data architecture, governance, and analytics operating models.
• Preferred UK & Ireland, regional, or global experience, with strong understanding of how local teams operate and how enterprise capabilities are adopted in-market.
• Excellent ability to translate between technical and non-technical language, including presenting complex data topics to business stakeholders.
• Knowledge of Takeda Mar Tech and Salesforce tech stack and data modelling.
• Expert knowledge of SQL, R, Python.
• Hands-on working knowledge of Databricks, Power BI and data modelling.
• Knowledge of ETL, APIs and how to connect to databases.
• Technical knowledge of different digital channels including web, apps, surveys.
• Demonstrated project, program, stakeholder, and change management experience, including leading adoption of new capabilities across functions.
• Knowledge, experience and know-how of all data sources (customer, financial, patients, etc.) and underlying data structures.
• Knowledge of data privacy and compliance requirements in a regulated environment, including UK GDPR and the ABPI Code of Practice.
• Leads through influence, gaining support across teams and functions to move ideas from alignment to implementation.
• Works effectively in…