Data Product Manager

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

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