At a Glance
- Tasks: Lead data excellence initiatives and promote a data-driven culture across teams.
- Company: Join Takeda, a diverse and inclusive company committed to innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Collaborative atmosphere with a focus on cross-functional partnerships and career development.
- Why this job: Make a real impact by driving data quality and integration in a dynamic environment.
- Qualifications: 5+ years in data or analytics with strong leadership and communication skills.
The predicted salary is between 10000 - 96360 £ per year.
Act as the business-facing partner for Data, Digital & Technology in the UK & Ireland, leading the data excellence agenda across Commercial, Access, Medical, Finance and DD&T. You will spearhead data stewardship, integration, quality, and adoption initiatives, develop local roadmaps, and promote a data-driven culture.
Opportunity
Work closely with cross-functional partners in the UK & Ireland, IBU, ICC/GCC and global DD&T teams. Drive the implementation of global data standards, data quality, and ingestion priorities while ensuring alignment with local business needs and global strategies.
Job Responsibilities
- Lead & implement data stewardship for the UK & Ireland. Set stewardship approach, lead dataset reviews, and ensure critical datasets have clear definitions and quality expectations.
- Partner with IBU DD&T. Co-create data standards, KPIs, tools and technologies, aligning UK & Ireland priorities with the broader DD&T direction.
- Embed global data standards locally. Apply data standards, align local field names and values, maintain mapping tables, and manage exceptions.
- Partner with ICC/GCC for scalable delivery. Define outcomes, clarify delivery expectations, remove blockers, and ensure quality and business value.
- Lead & implement data quality management and remediation cycles. Execute monitoring, prioritise issues, partner with SMEs, and ensure fixes through rules, transformations, or process changes.
- Drive data documentation. Maintain data dictionaries, lineage notes, refresh frequencies, business rules, and usage guidance for analysts and product teams.
- Lead & implement data integration and ingestion activities. Onboard data sources into EDB with alignment to business needs and platform requirements.
- Own the UK & Ireland data roadmap and backlog. Prioritise integrations, fixes, governance activities, and provide clear progress updates, risks, and dependencies.
- Lead data fluency and adoption across the UK & Ireland. Deliver enablement through training, office hours, playbooks, and reusable examples.
What you bring to Takeda
- 5+ years of experience in data, analytics, digital, or commercial excellence, including cross-functional leadership.
- Strong understanding of Takeda technology, data ecosystem, and analytics operating models.
- Preferred UK & Ireland, regional or global experience with enterprise adoption insights.
- Excellent communication skills translating technical topics for business stakeholders.
- Knowledge of Takeda MarTech, Salesforce stack, and data modelling.
- Expert knowledge of SQL, R, Python, Databricks, Power BI and data modelling.
- Knowledge of ETL, APIs, and database connectivity.
- Technical knowledge of digital channels: web, apps, surveys.
- Demonstrated project, program, stakeholder, and change management experience.
- Familiarity with all data sources and underlying structures.
- Knowledge of data privacy and compliance (UK GDPR, ABPI Code of Practice).
- Influential leadership, ability to gain cross-functional support.
- Strong problem-solving skills and ability to manage ambiguity.
- Collaborative network-building across functions.
- Clear, persuasive communication across technical and non-technical audiences.
- Leadership of cross-functional data-enabled growth initiatives.
- Passion for data sources, especially the Customer Data domain.
- Knowledge of Agile ways of working and leading by example.
At Takeda we unite in diversity. Takeda is committed to creating an inclusive workplace. We welcome applications from all qualified candidates and value diversity in background and abilities.
Locations Paddington, Great Britain
Base Salary Range £70,100.00 – £96,360.00
Benefits For information about our benefits, please click here.
Worker Type Employee
Worker Sub-Type Regular
Time Type Full time
Locations
Data Excellence Lead in Cheshire, Warrington employer: Takeda
At Takeda, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. As a Data Products Lead in the UK & Ireland, you will have access to extensive employee growth opportunities, including professional development and training, all while contributing to meaningful projects that impact healthcare. Our commitment to diversity and inclusion, along with our focus on employee well-being, makes Takeda a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Excellence Lead in Cheshire, Warrington
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We think you need these skills to ace Data Excellence Lead in Cheshire, Warrington
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Takeda. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Takeda
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
