We’re looking for a hands-on Data Product Manager to own and personally lead the
development of our predictive market modelling solutions for the Animal Health division. This
is a player-coach role: you will set the product direction for our sales and market models and
roll up your sleeves to build, validate, and improve the models yourself.
You’ll be the technical and product owner for forecasting solutions that directly shape
commercial decision-making – turning messy internal and external data into models the
business trusts and acts on. The role suits someone equally comfortable in a stakeholder
workshop and in a notebook, who wants ownership of an analytical product end to end
rather than handing the modelling to someone else.
Product & direction
• Define and own the product vision, strategy, and roadmap for our Animal Health
market model – spanning historical baselining, predictive analytics, and forward
forecasting (e.g. demand, market sizing, and market share evolution).
• Translate commercial questions from sales and marketing into a prioritised, wellscoped analytical roadmap, balancing rigour against speed-to-value.
• Define success in measurable terms – forecast accuracy, adoption, and
demonstrable business impact – and report against it.
Hands-on modelling & technical leadership
• Personally build, validate, and iterate the predictive and forecasting models – you
will be writing and reviewing code, not just specifying it for others.
• Set the technical standard by designing scalable, reproducible data pipelines and
modelling workflows for the team to build on.
• Guide and mentor data scientists and engineers – reviewing methods and
approaches and acting as the senior technical voice on modelling decisions.
• Own data quality and integrity across internal sales data and external market
sources, including the judgement calls when sources are imperfect.
Stakeholders
• Be the bridge between the commercial business, data science, and engineering –
communicating model logic, assumptions, and limitations in language each audience
trusts.
Essential
Strong applied proficiency in Python and/or R, including modern data and ML
libraries (e.g. pandas, scikit-learn, statsmodels or equivalents) and time-series /
statistical forecasting methods.
• A track record of owning an analytical product end to end – from data acquisition
and modelling through deployment, monitoring, and iteration.
• The judgement to frame ambiguous business questions as the right modelling
approach, and to explain technical trade-offs in business terms.
• Excellent communication and stakeholder management – credible with both senior
commercial leaders and technical specialists.
• Comfort with large, messy, multi-source datasets and a healthy instinct for data
quality.
Nice to have
• A background in Animal Health, pharma, or another life sciences setting.
• Experience at a large human-health data company (e.g. IQVIA, Optum, or similar) is a
strong plus, though not essential.
• Familiarity with the modern data stack and cloud tooling (e.g. dbt, Snowflake /
BigQuery, orchestration tools) and reproducible, version-controlled workflows.
• Prior experience leading or mentoring a small analytics or data science team.
Practicalities
Reporting to: Managing Director for Stonehaven Analytics AG
Location: Switzerland (Basel / Frauenfeld / Zurich) or the UK (London).
If you want to own a predictive analytics product end to end – and still be the person building
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