Data Product Manager Pharma Manufacturing & Supply Chain
Posted 1 day ago by Salt
Negotiable
Undetermined
Remote
London, UK
Summary: We're seeking a Data Product Manager with a focus on AI-driven data products to enhance manufacturing consistency and supply chain resilience in pharmaceutical manufacturing. The role is remote-first with occasional site visits and is open to both contract and permanent candidates who possess strong experience in pharma manufacturing. The ideal candidate will lead the product lifecycle from discovery to deployment while ensuring compliance with regulatory standards.
Key Responsibilities:
- Define, build and run data products that use AI/ML to optimise manufacturing recipes, batch consistency and supply-chain decisioning.
- Translate operational problems (variation, deviation, OEE, out-of-spec batches, shortage risk) into measurable data product outcomes.
- Partner with Manufacturing, Quality, Regulatory, Supply Chain, IT/OT and Data Science to prioritise, scope and deliver features.
- Own product life cycle: discovery, requirements, MVP, validation, deployment, monitoring and continuous improvement.
- Ensure solutions meet GxP, GMP and regulatory audit requirements (data lineage, explainability, versioning).
- Drive data product KPIs: batch yield, variance reduction, time-to-release, forecast accuracy, inventory turns.
- Work with engineering to embed MLOps, model validation, and robust monitoring into production pipelines (edge/cloud/hybrid).
- Evangelise adoption; design stakeholder training and change management for shop-floor & supply-chain teams.
Key Skills:
- 5+ years product management experience delivering data/AI products (end-to-end).
- 5+ years' experience in pharmaceutical manufacturing or closely related regulated CPG/FMCG production (formulation, batch processes, aseptic, continuous).
- Clear understanding of GMP/GxP, batch records, quality control workflows and regulatory constraints.
- Hands-on familiarity with manufacturing systems: MES, LIMS, SCADA, PLC/OT data, OPC UA, and ERP (SAP preferred).
- Practical knowledge of AI/ML capabilities and limitations in production (predictive quality, anomaly detection, digital twins, federated learning).
- Strong stakeholder skills - you can lead technical and non-technical teams, and influence senior execs.
- Excellent product discovery and problem-framing skills (user research, experiments, A/B where applicable).
- Proven track record taking models from prototype to validated production (including model governance & explainability).
- English fluent; ability to travel to client sites occasionally.
Salary (Rate): undetermined
City: London
Country: UK
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Data Product Manager Pharma Manufacturing & Supply Chain (Remote | Contract or Permanent | Occasional Site Visits)
About the role (short):
We're hiring a pragmatic, product-minded Data Product Manager to lead AI-driven data products that improve manufacturing consistency (recipes/formulations), yield and supply-chain resilience across pharmaceutical manufacturing. Remote-first, occasional visits to client sites. Open to contract or permanent candidates with strong pharma manufacturing experience.
What you'll own- Define, build and run data products that use AI/ML to optimise manufacturing recipes, batch consistency and supply-chain decisioning.
- Translate operational problems (variation, deviation, OEE, out-of-spec batches, shortage risk) into measurable data product outcomes.
- Partner with Manufacturing, Quality, Regulatory, Supply Chain, IT/OT and Data Science to prioritise, scope and deliver features.
- Own product life cycle: discovery, requirements, MVP, validation, deployment, monitoring and continuous improvement.
- Ensure solutions meet GxP, GMP and regulatory audit requirements (data lineage, explainability, versioning).
- Drive data product KPIs: batch yield, variance reduction, time-to-release, forecast accuracy, inventory turns.
- Work with engineering to embed MLOps, model validation, and robust monitoring into production pipelines (edge/cloud/hybrid).
- Evangelise adoption; design stakeholder training and change management for shop-floor & supply-chain teams.
Must-have (non-negotiable)
- 5+ years product management experience delivering data/AI products (end-to-end).
- 5+ years' experience in pharmaceutical manufacturing or closely related regulated CPG/FMCG production (formulation, batch processes, aseptic, continuous).
- Clear understanding of GMP/GxP, batch records, quality control workflows and regulatory constraints.
- Hands-on familiarity with manufacturing systems: MES, LIMS, SCADA, PLC/OT data, OPC UA, and ERP (SAP preferred).
- Practical knowledge of AI/ML capabilities and limitations in production (predictive quality, anomaly detection, digital twins, federated learning).
- Strong stakeholder skills - you can lead technical and non-technical teams, and influence senior execs.
- Excellent product discovery and problem-framing skills (user research, experiments, A/B where applicable).
- Proven track record taking models from prototype to validated production (including model governance & explainability).
- English fluent; ability to travel to client sites occasionally.
Nice-to-have
- Experience with MLOps, model validation frameworks (MLflow, Seldon, TFX).
- Background in supply chain analytics (demand forecasting, S&OP, inventory optimisation).
- Experience with process analytical technology (PAT), Design of Experiments (DoE) or continuous manufacturing.
- Regulatory audit experience involving data/ML systems.
- MSc/PhD in data science, engineering, pharma science or similar.
*Rates depend on experience and client requirements