Data Product Manager Pharma Manufacturing & Supply Chain

Xpand Group; City Of London; Remote; GBP 80,000 - 100,000; Full time

Job summary

A leading pharmaceutical technology firm is seeking a pragmatic Data Product Manager to enhance manufacturing consistency and supply-chain resilience through AI-driven data products. The ideal candidate will have over 5 years of experience in product management specifically within pharmaceutical manufacturing and a deep understanding of GMP/GxP regulations. This remote role includes occasional site visits, and offers both contract and permanent options.

Qualifications

• 5+ years product management experience delivering data/AI products.
• 5+ years' experience in pharmaceutical manufacturing or regulated CPG/FMCG.
• Clear understanding of GMP/GxP and regulatory workflows.
• Hands-on familiarity with relevant manufacturing systems.
• Practical knowledge of AI/ML capabilities in production.
• Strong stakeholder skills.
• Excellent product discovery and problem-framing skills.
• Proven track record taking models to validated production.
• Fluency in English and willingness to travel.

Responsibilities

• Define, build, and run data products using AI/ML.
• Translate operational problems into measurable data outcomes.
• Partner with teams for feature delivery and prioritization.
• Own product lifecycle from discovery to continuous improvement.
• Ensure compliance with GxP and GMP requirements.
• Drive data product KPIs.
• Work with engineering to embed MLOps into pipelines.
• Design stakeholder training for teams.

Skills

Product management experience

Pharmaceutical manufacturing experience

Stakeholder management

Data/AI product delivery

Understanding of GMP/GxP

Problem framing skills

AI/ML knowledge

English fluency

Education

MSc/PhD in data science or related field

Tools

MES

LIMS

SCADA

PLC/OT data

ERP (SAP preferred)

Job description

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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 lifecycle: 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