Data & Enablement Manager

Job Description Summary

We are looking for a hands-on pharmaceutical commercial data specialist who combines deep knowledge of datasets such as Evaluate, IPD, DRG, AlphaSense etc. with strong technical skills. As the team's primary point of contact for commercial data needs, you will guide source selection, interpretation and effective use across analytics and market intelligence activities.

Working closely with IT and business stakeholders, you will turn subscribed data assets into trusted, reusable data products and enable governed self-service access within the team. This role combines domain expertise with hands-on delivery using SQL, Python, Alteryx and cloud data platforms such as Databricks, helping reduce manual effort and improve the value realised from existing subscriptions.

Job Description

Position Purpose:

We are looking for a hands-on pharmaceutical commercial data specialist who combines deep knowledge of datasets such as Evaluate, IPD, DRG, AlphaSense etc. with strong technical skills. As the team's primary point of contact for commercial data needs, you will guide source selection, interpretation and effective use across analytics and market intelligence activities.

Your Key Responsibilities:

Your Key Responsibilities that limited to:

• Serve as the commercial data subject-matter expert: Act as the primary point of contact for Evaluate, IPD, DRG and other subscribed datasets, advising on coverage, definitions, methodologies, limitations and appropriate use.
• Translate business needs into data solutions: Understand requests across commercial analytics, forecasting and market intelligence; recommend suitable sources and define extraction, integration and delivery requirements.
• Democratise data access: Develop governed self-service datasets, reusable queries, workflows and documentation that help authorised team members use subscribed data independently.
• Build and automate data workflows: Use SQL, Python, Alteryx and cloud platforms such as Databricks to ingest, transform, reconcile and combine data, reducing repetitive manual extractions.
• Partner with IT on data products: Define business requirements, data models, refresh schedules, testing and rollout of scalable commercial data products.
• Establish trusted data foundations: Maintain source inventories, data dictionaries, mappings and lineage; implement quality checks and investigate discrepancies with providers and IT.
• Enable compliant use: Work with IT, procurement and data owners to ensure access, storage, integration and redistribution comply with subscription licences, vendor agreements and internal governance requirements.
• Increase subscription value and adoption: Identify overlapping assets and underused capabilities and deliver practical training and user guidance

What I will bring to the role:

Essential Requirements:

• 7+ years of relevant experience in pharmaceutical commercial data, analytics or data enablement, with a strong understanding of commercial business questions and pharma markets.
• Deep, hands-on expertise in pharmaceutical commercial datasets such as Evaluate, IPD, DRG and IQVIA, including source selection, extraction, interpretation and reconciliation across sources.
• Strong SQL skills, including complex joins, data transformation, validation and query optimisation, with the ability to work independently with large, multi-source datasets.
• Basic to intermediate knowledge of Python, with the ability to understand and adapt scripts for data extraction, transformation, validation and automation.
• Practical experience with Databricks or comparable cloud data platforms, including data pipelines, curated datasets and scheduled processing; familiarity with data modelling and cloud-based analytics architectures.
• Experience partnering with IT or data engineering teams to translate business requirements into reusable data products, define acceptance criteria and support testing and adoption.
• Sound understanding of data quality, metadata, lineage, access controls and licensed 3rd-party data usage; ability to enable broader access without compromising contractual or governance requirements.
• Strong problem-solving, stakeholder engagement and prioritisation skills, with the ability to explain complex data concepts clearly and provide practical training to users.
• Desirable: Python, SQL, API-based data integration, and experience with Power BI or Qlik Sense.
• Education: Advanced degree in Management, an analytical discipline, Data Science, Life Sciences, Pharmacy or a related field.

Skills Desired

Agility, Analytical Thinking, Brand Awareness, Building Construction, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Marketing Strategy, Media Campaigns, Sales, Stakeholder Engagement, Stakeholder Management, Strategic Marketing, Waterfall Project Management