Data Product Manager

We’re looking for a hands-on Data Product Manager to own and personally lead the

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development of our predictive market modelling solutions for the Animal Health division. This

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is a player-coach role: you will set the product direction for our sales and market models and

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roll up your sleeves to build, validate, and improve the models yourself.

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You’ll be the technical and product owner for forecasting solutions that directly shape

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commercial decision-making – turning messy internal and external data into models the

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business trusts and acts on. The role suits someone equally comfortable in a stakeholder

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workshop and in a notebook, who wants ownership of an analytical product end to end

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rather than handing the modelling to someone else.

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Product & direction

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• Define and own the product vision, strategy, and roadmap for our Animal Health

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market model – spanning historical baselining, predictive analytics, and forward

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forecasting (e.g. demand, market sizing, and market share evolution).

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• Translate commercial questions from sales and marketing into a prioritised, wellscoped analytical roadmap, balancing rigour against speed-to-value.

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• Define success in measurable terms – forecast accuracy, adoption, and

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demonstrable business impact – and report against it.

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Hands-on modelling & technical leadership

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• Personally build, validate, and iterate the predictive and forecasting models – you

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will be writing and reviewing code, not just specifying it for others.

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• Set the technical standard by designing scalable, reproducible data pipelines and

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modelling workflows for the team to build on.

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• Guide and mentor data scientists and engineers – reviewing methods and

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approaches and acting as the senior technical voice on modelling decisions.

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• Own data quality and integrity across internal sales data and external market

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sources, including the judgement calls when sources are imperfect.

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Stakeholders

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• Be the bridge between the commercial business, data science, and engineering –

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communicating model logic, assumptions, and limitations in language each audience

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trusts.

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Essential

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Strong applied proficiency in Python and/or R, including modern data and ML

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libraries (e.g. pandas, scikit-learn, statsmodels or equivalents) and time-series /

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statistical forecasting methods.

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• A track record of owning an analytical product end to end – from data acquisition

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and modelling through deployment, monitoring, and iteration.

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• The judgement to frame ambiguous business questions as the right modelling

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approach, and to explain technical trade-offs in business terms.

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• Excellent communication and stakeholder management – credible with both senior

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commercial leaders and technical specialists.

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• Comfort with large, messy, multi-source datasets and a healthy instinct for data

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quality.

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Nice to have

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• A background in Animal Health, pharma, or another life sciences setting.

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• Experience at a large human-health data company (e.g. IQVIA, Optum, or similar) is a

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strong plus, though not essential.

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• Familiarity with the modern data stack and cloud tooling (e.g. dbt, Snowflake /

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BigQuery, orchestration tools) and reproducible, version-controlled workflows.

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• Prior experience leading or mentoring a small analytics or data science team.

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Practicalities

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Reporting to: Managing Director for Stonehaven Analytics AG

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Location: Switzerland (Basel / Frauenfeld / Zurich) or the UK (London).

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If you want to own a predictive analytics product end to end – and still be the person building

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• the models that drive it – we’d love to hear from you
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