CT-4449 Data Product Manager

Do you have experience of providing data product management expertise, on a complex pharmaceutical data and digital transformation programme?

This consulting opportunity is to support our client, a leading global pharmaceutical organisation, in defining, delivering and driving the adoption of enterprise data products across Pharmaceutical Technology & Development (PT&D). The programme supports AI-powered drug development by enabling trusted, FAIR-compliant data products that improve decision-making, accelerate scientific innovation and maximise the value of enterprise data.

 

The project needs a consultant who has:

  • extensive data product management experience across complex enterprise environments
  • strong understanding of data engineering, governance and enterprise data architecture
  • ability to translate business priorities into product roadmaps and technical delivery
  • experience influencing senior stakeholders within large, matrixed organisations

 

Key services:

The key services that you will be asked to provide are:

  • defining the vision, strategy and roadmap for TOSI data products
  • owning and prioritising product backlogs to maximise business value
  • translating customer needs into actionable product requirements
  • leading cross-functional delivery across architecture, engineering and analytics teams
  • ensuring data products align with FAIR principles and enterprise governance standards
  • managing product dependencies, releases and stakeholder engagement throughout the product lifecycle
  • driving adoption of data products across PT&D through effective communication and change advocacy
  • establishing business metadata, product metrics and governance for assigned data products

 

Mandatory Requirements:

Successful consultants will be able to demonstrate:

  • proven data product management experience across the full product lifecycle
  • experience developing and managing product roadmaps, backlogs and delivery priorities
  • strong knowledge of ETL, data modelling, data lakes, master data and reference data
  • experience leading Agile product delivery within multidisciplinary teams
  • ability to translate complex business challenges into technical product requirements
  • excellent stakeholder management and influencing skills across business and technical communities
  • proficiency with SQL, Python or similar technologies for data exploration and product development
  • experience working with enterprise data platforms including Snowflake
  • degree in a scientific or technical discipline
  • experience delivering data products within complex global organisations

 

Optional Requirements:

It will also be advantageous if you have:

  • experience with Databricks, Collibra, Alation, dbt or comparable data platforms
  • understanding of AI and machine learning applications within pharmaceutical development
  • experience working within GxP or other regulated environments
  • knowledge of knowledge graphs, ontologies or semantic data models
  • familiarity with data mesh principles and domain-oriented data ownership
  • product management or data management certification
  • previous experience within pharmaceutical research, development or manufacturing

 

Working Pattern: Hybrid – 60% onsite near Manchester
Contract Type: Outside IR35
Start: ASAP
Duration: 12 months

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