Data Products Lead

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.

• 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.

• 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…