What are the responsibilities and job description for the Commercial SME Life Sciences (Data & Analytics) position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Lightning Minds Inc., is seeking the following. Apply via Dice today!
Job Title: Commercial SME Life Sciences (Data & Analytics)
Job Summary
We are seeking an experienced Commercial Subject Matter Expert (SME) with strong Life Sciences domain knowledge and data engineering / analytics leadership experience. This role will act as the bridge between commercial business stakeholders and technical data teams, driving data-driven solutions across Sales, Marketing, Incentive Compensation, Patient Data, LAAD, and Claims.
Key Responsibilities
Commercial Domain Leadership
Serve as the primary SME for Life Sciences commercial operations, covering Sales, Marketing, Incentive Compensation (IC), Patient Data Management, LAAD, and Claims.
Lead the design, optimization, and implementation of commercial business processes aligned with enterprise goals.
Translate complex commercial requirements into actionable data and analytics solutions.
Data Engineering & Technical Leadership
Lead data engineering initiatives within the Azure ecosystem.
Design and implement scalable data pipelines using Azure Data Lake, Azure Databricks, Azure SQL, and Synapse.
Integrate diverse commercial datasets including Sales, Marketing, Claims, Patient, and LAAD data.
Apply SQL and Python to build, manage, and optimize data pipelines and analytical models.
Partner with IT, Data Science, and Business Operations teams for seamless data integration.
BI, Reporting & Analytics
Design and deliver BI dashboards and executive-level reports using tools such as Power BI or Tableau.
Define KPIs and performance metrics for Sales, Marketing, IC, and Claims.
Enable data-driven decision-making for senior commercial leadership.
Life Sciences & Compliance
Apply deep knowledge of Life Sciences commercial analytics, including sales performance, marketing effectiveness, IC, patient-centric data, and claims.
Ensure compliance with HIPAA, GDPR, and 21 CFR Part 11.
Provide leadership in managing and leveraging Longitudinal Access and Adjudication Data (LAAD).
Data Governance & Strategy
Contribute to data governance frameworks, ensuring data quality, security, and compliance.
Drive data standardization, integration, and best practices across commercial functions.
Experience
Required Skills & Qualifications
8 years of Life Sciences commercial operations experience.
5 years of hands-on Data Engineering experience.
Proven success delivering enterprise-scale data solutions for commercial functions.
Technical Skills
Azure Data Services: Azure Data Lake, Databricks, Azure SQL, Synapse
Strong SQL and Python
Data warehousing, ETL/ELT, and data lake architectures
BI tools: Power BI, Tableau, or equivalent
Domain Expertise
Sales, Marketing, Incentive Compensation (IC)
Patient Data Management
Claims & LAAD
Strong understanding of Life Sciences regulatory requirements
Job Title: Commercial SME Life Sciences (Data & Analytics)
Job Summary
We are seeking an experienced Commercial Subject Matter Expert (SME) with strong Life Sciences domain knowledge and data engineering / analytics leadership experience. This role will act as the bridge between commercial business stakeholders and technical data teams, driving data-driven solutions across Sales, Marketing, Incentive Compensation, Patient Data, LAAD, and Claims.
Key Responsibilities
Commercial Domain Leadership
Serve as the primary SME for Life Sciences commercial operations, covering Sales, Marketing, Incentive Compensation (IC), Patient Data Management, LAAD, and Claims.
Lead the design, optimization, and implementation of commercial business processes aligned with enterprise goals.
Translate complex commercial requirements into actionable data and analytics solutions.
Data Engineering & Technical Leadership
Lead data engineering initiatives within the Azure ecosystem.
Design and implement scalable data pipelines using Azure Data Lake, Azure Databricks, Azure SQL, and Synapse.
Integrate diverse commercial datasets including Sales, Marketing, Claims, Patient, and LAAD data.
Apply SQL and Python to build, manage, and optimize data pipelines and analytical models.
Partner with IT, Data Science, and Business Operations teams for seamless data integration.
BI, Reporting & Analytics
Design and deliver BI dashboards and executive-level reports using tools such as Power BI or Tableau.
Define KPIs and performance metrics for Sales, Marketing, IC, and Claims.
Enable data-driven decision-making for senior commercial leadership.
Life Sciences & Compliance
Apply deep knowledge of Life Sciences commercial analytics, including sales performance, marketing effectiveness, IC, patient-centric data, and claims.
Ensure compliance with HIPAA, GDPR, and 21 CFR Part 11.
Provide leadership in managing and leveraging Longitudinal Access and Adjudication Data (LAAD).
Data Governance & Strategy
Contribute to data governance frameworks, ensuring data quality, security, and compliance.
Drive data standardization, integration, and best practices across commercial functions.
Experience
Required Skills & Qualifications
8 years of Life Sciences commercial operations experience.
5 years of hands-on Data Engineering experience.
Proven success delivering enterprise-scale data solutions for commercial functions.
Technical Skills
Azure Data Services: Azure Data Lake, Databricks, Azure SQL, Synapse
Strong SQL and Python
Data warehousing, ETL/ELT, and data lake architectures
BI tools: Power BI, Tableau, or equivalent
Domain Expertise
Sales, Marketing, Incentive Compensation (IC)
Patient Data Management
Claims & LAAD
Strong understanding of Life Sciences regulatory requirements