About this role
This Senior Data Delivery Expert role builds cloud-based data solutions to support precision marketing for HCPs. You will work within Digital Brand Teams to deliver integrated datasets and visualizations, while also operationalizing data science models for effective business use.
Key Responsibilities
- Develop data solutions for precision marketing to HCP targets
- Gather requirements with brand, marketing, data science, and omni-channel teams
- Build cloud-based integrated data sets and data visualizations
- Operationalize data engineering and data science model deployments in Digital Brand Teams
- Extract/combine datasets, cleanse/structure data, and perform analysis/reconciliation
Technical Overview
The role is focused on data engineering and data science model operationalization in a commercial biopharma environment. Core technical work includes integrating internal and external data sets, onboarding/consolidating/cleansing/structuring data for reporting, analytical applications, and machine learning models, plus pressure-testing and reconciling datasets of varying complexity.
Ideal Candidate
The ideal candidate is a senior-level data engineer with a Master’s (or equivalent) and 2+ years of experience in commercial biopharma data environments. They are skilled in extracting and combining internal/external datasets, cleansing and structuring data for machine learning and analytics, pressure-testing requirements, and delivering data solutions (including cloud-based integrated data visualizations) to marketing and brand teams.
Must-Have Skills
Master's in engineeringcomputer sciencephysicsmathematicsbusiness analyticsquantitative life sciencesor related field2 years of work experience as a data engineersystems engineeror similar role in a commercial biopharma environmentextracting & combining multiple internal & external data setsonboardingconsolidatingcleansing& structuring data for efficient use in reportsanalytical applications& machine learning modelspressure-testing data requirements to ensure accurate & meaningful data deliveryperforming data analysis & reconciliation on datasets of varying sizes & complexitiescompilingpresenting & explaining datain writing & orallyutilizing data analysis programming languagesWork directly in Digital Brand Teams
Tools & Platforms
cloud-based solutionsintegrated data setsreportsanalytical applicationsdata visualizations
Required Skills
data solutionsprecision marketing to HCP'srequirements gatheringcloud-based solutionsintegrated data setsdata visualizationsdata engineeringdata science model operationalizationextracting and combining multiple internal & external data setsonboarding consolidating cleansing structuring datamachine learning modelspressure-testing data requirementsdata analysis & reconciliationpresenting data in writing and orallydata analysis programming languages
Hard Skills
data solutionsprecision marketing to HCP's (healthcare practitioners/professionals)requirements gatheringcloud-based solutionsintegrated data setsdata visualizationsdata engineeringdata science model operationalizationextracting and combining multiple internal & external data setsonboarding dataconsolidating datacleansing datastructuring datamachine learning modelspressure-testing data requirementsdata analysis and reconciliationdataset analysiscompiling datapresenting and explaining data in writingpresenting and explaining data orallydata analysis programming languages
Soft Skills
Work with brand representativesmarketersdata scientists & omni-channel strategistsCompilingpresenting & explaining data to business stakeholderspeers & senior managementRequirements gathering and collaboration
Keywords for Your Resume
Senior Data Delivery ExpertUS Commercial Business Technology Solutionsdata solutionsprecision marketingHCP'shealthcare practitioners/professionalsrequirementscloud-based solutionsintegrated data setsvisualizationsdata engineeringdata science model operationalizationDigital Brand Teamsdata engineersystems engineercommercial biopharma environmentextracting & combining multiple internal & external data setsonboardingconsolidatingcleansing& structuring datareportsanalytical applicationsmachine learning modelspressure-testing data requirementsdata analysis & reconciliationdatasets of varying sizes & complexitiesutilizing data analysis programming languagesdata visualizations
Deal Breakers
Master's degree in engineering, computer science, physics, mathematics, business analytics, quantitative life sciences, or related field (or Bachelor's with 5 years experience as specified), 2 years experience (or 5 years if using Bachelor's alternative) in a commercial biopharma environment as a data engineer/systems engineer, Hands-on experience with extracting/combining internal & external datasets and onboarding/consolidating/cleansing/structuring data for machine learning models
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