At a Glance
- Tasks: Lead the implementation and improvement of data products for better commercial decision-making.
- Company: Join a leading pharmaceutical company focused on innovative data solutions.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Work in a supportive culture that values innovation and continuous learning.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: 5+ years in data analytics with strong cross-functional collaboration skills.
The predicted salary is between 10000 - 96360 £ per year.
Data Products Lead – UK & Ireland
Opportunity: The Data Products Lead will work closely with cross‑functional partners across the UK & Ireland, IBU and ICC teams.
The role involves leading the implementation, adoption and continuous improvement of data products and analytics capabilities that enable stronger local commercial decision‐making.
You will drive the scaling and local rollout of global data products and analytics, ensuring insights directly inform commercial decisions such as channel mix, investment prioritisation and inline brand performance.
The position also requires acting as a data ambassador and trusted partner to elevate data and technology fluency across LOCs, helping embed consistent, evidence‑based ways of working across the cluster.
- Job Responsibilities
- Lead and implement scaling and adoption of global data and analytics products, including Marketing Mix Modelling and
- Next
- Best
Action: partner with cross‑functional teams to plan and implement local onboarding, prepare and validate local datasets, enable user access and set up, resolve adoption barriers and ensure products are embedded into business routines.
- Lead and implement hands‑on requirements discovery and business analysis in partnership with local functions: frame the underlying business problem before a solution is chosen by eliciting needs, mapping current‑state process and data flows, identifying root causes and aligning stakeholders on whether the issue is best addressed through data, process or technology.
Produce clear problem statements, options and trade‑off assessments that support informed decisions.
- Lead and implement foundational data management practices for data products: include data sourcing and ingestion of local datasets, data cataloguing, security, access and quality controls, and local data contracts in partnership with relevant data owners and delivery teams.
- Contextualise analytics outputs with local business realities: partner directly with cross‑functional stakeholders to interpret dashboards and analytical models, challenge assumptions, reconcile discrepancies and translate outputs into locally meaningful actions that can be implemented by commercial teams.
- Partner with ICC/GCC for scalable delivery: lead and implement the connection between business needs and ICC/GCC delivery teams, ensuring DD&T data products and services are implemented effectively, feedback is captured and improvements are prioritised and acted upon.
- Act as a recognised thought leader for analytics and data science and as a hands‑on data ambassador to raise data fluency across LOCs: lead and implement practical enablement through training sessions and examples that help teams request, interpret and implement data‑driven decisions with greater confidence and consistency.
What you bring to Takeda
- 5+ years of experience in data and analytics, including leading and implementing cross‑functional delivery or adoption of data products in a commercial environment.
- Strong understanding of enterprise technology platforms, data landscapes and data architecture within a global pharmaceutical organisation, with the ability to partner across business, technology and delivery teams.
- Demonstrated experience working with advanced commercial analytics use cases such as marketing mix modelling, promotional effectiveness, elasticity analysis or scenario simulation in a pharmaceutical or regulated commercial context.
- Demonstrated ability to translate business needs into data and technical requirements, interrogate advanced analytics outputs and guide cross‑functional teams toward practical implementation.
- Knowledge of Takeda Mar Tech and Salesforce tech stack.
- Hands‑on working knowledge of data platforms such as Databricks and data modelling.
- Knowledge of ETL, APIs and how to connect to databases.
- Technical knowledge of different digital channels including web, apps, surveys.
- Project management and change management experience.
- Proven ability to partner with commercial, medical, technology, data and delivery teams to implement data products and embed new ways of working across markets or LOCs.
- 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 and implements through influence without authority, gaining commitment across functions to move ideas from alignment into hands‑on delivery and adoption.
- Comfortable operating in ambiguity, structuring complex topics and guiding teams toward practical decisions and measurable outcomes.
- Builds trusted partnerships across functions and roles, leveraging formal and informal networks to align priorities, remove barriers and deliver outcomes.
- Communicates complex data and analytics topics clearly and persuasively, adapting messages for business, technical and delivery audiences.
- Leads and implements with cross‑functional teams to develop, embed and continuously improve innovative data‑driven growth initiatives.
- Extensive expertise, passion and understanding of data sources, especially the Customer Data domain within Takeda.
- Applies Agile ways of working to lead, implement and improve delivery practices across teams.
- 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
- #J-18808-Ljbffr
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We think you need these skills to ace Data Products Lead in Warrington
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