Element Technologies ยท 1 day ago
Senior Data Specialist - Commercial SME
Jersey City, NJ
Contract
Hybrid
Senior Level, Lead/Staff
8+ years expElement Technologies is a company seeking a Senior Data Specialist with expertise in commercial operations within the Life Sciences sector. The role involves acting as the primary subject matter expert for commercial operations, leading data engineering solutions, and ensuring compliance with industry regulations while driving data-informed business decisions.
Business DevelopmentConsultingInformation TechnologyInternet of ThingsIT Infrastructure
Responsibilities
Act as the primary SME for commercial operations, providing insights and leadership in Sales, Marketing, Incentive Compensation (IC), Patient Data Management, Longitudinal Access and Adjudication Data (LAAD), and Claims
Guide the design, implementation, and optimization of business processes in the commercial functions, ensuring alignment with company objectives and industry standards
Translate complex commercial business needs into actionable data solutions, ensuring that technology strategies align with business priorities
Lead the development and deployment of data engineering solutions within the Azure ecosystem, utilizing tools such as Azure Data lake, Azure Databricks, to manage large datasets effectively
Design and implement scalable, secure, and efficient data pipelines that integrate diverse commercial datasets from Sales, Marketing, Claims, Patient Data, and LAAD
Collaborate with cross-functional teams (including IT, Data Science, and Business Operations) to ensure seamless integration of data engineering solutions across various commercial and business functions
Apply expertise in SQL, Python, and other data engineering languages to build and manage data pipelines and models
Deeply understand the Life Sciences sector, particularly commercial functions, including sales performance analytics, marketing effectiveness, incentive compensation, patient-centric data, and claims management
Work closely with business stakeholders to define KPIs, performance metrics, and reporting strategies for Sales, Marketing, and Claims processes, driving actionable insights for business decisions
Ensure compliance with industry regulations (e.g., HIPAA, GDPR) in all data management and analytics activities related to commercial operations
Provide functional leadership on the management and utilization of Longitudinal Access and Adjudication Data (LAAD), ensuring the successful integration of longitudinal data to support patient-centric commercial activities
Serve as the key liaison between business and technical teams, ensuring that data solutions meet business requirements and deliver on key commercial goals
Collaborate with IT teams to ensure data infrastructure supports business intelligence, reporting, and analytics needs, optimizing performance, availability, and security
Lead the design of business intelligence solutions, including dashboards and reports, for senior commercial leadership, helping them drive data-informed decisions
Contribute to the development of data governance frameworks for commercial data, ensuring high data quality, security, and compliance standards are met
Help drive strategic initiatives related to data management, standardization, and integration across commercial functions
Provide guidance on best practices for data-driven decision-making and ensure alignment with both business and regulatory requirements
Qualification
Required
8+ years of experience in commercial operations within the Life Sciences industry, with expertise in areas like Sales, Marketing, Incentive Compensation (IC), Patient Data, LAAD, and Claims
5+ years of experience in Data Engineering, including hands-on experience with cloud platforms (preferably Azure), and a strong background in managing and analyzing large datasets
Proven track record of developing and deploying data solutions that support commercial business functions in Life Sciences
Proficiency in Azure Data Services (e.g., Azure Data Lake, Azure SQL, Azure Databricks, Azure Synapse)
Expertise in SQL, Python, or other relevant data engineering languages for building data models, pipelines, and reports
Strong understanding of data warehousing, ETL processes, and data lake architectures
Familiarity with business intelligence tools such as Power BI, Tableau, or similar platforms for visualization and reporting
Extensive understanding of Life Sciences commercial functions, including Sales, Marketing, Incentive Compensation (IC), Claims, Patient Data Management, and Longitudinal Access and Adjudication Data (LAAD)
Ability to translate complex Life Sciences business processes into technical requirements and solutions
Knowledge of industry regulations (e.g., HIPAA, GDPR, 21 CFR Part 11) and compliance considerations in managing commercial data
Company
Element Technologies
Element Technologies is a business management consultancy.
201-500 employees
H1B Sponsorship
Element Technologies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (20)
2024 (42)
2023 (20)
2022 (44)
2021 (43)
2020 (23)
Funding
Current Stage
Growth StageRecent News
2025-09-30
Company data provided by crunchbase