Technical Delivery Manager - Data Engineering - RDT Pharma Medicines

• Define and monitor KPIs for data completeness, accuracy, and timeliness across commercial data feeds.
• Establish reconciliation and exception-handling processes (e.g., HCP/HCO matching, territory alignment discrepancies, sales data anomalies).
• Drive root-cause analysis for data issues impacting compensation, targeting, or reporting accuracy.

• Manage data analysts/engineers and/or third-party vendors and system integrators.
• Own vendor relationships with commercial data providers (IQVIA, Veeva, Symphony/Komodo, Definitive Healthcare, etc.).

• Identify opportunities to automate manual data processes and improve delivery speed/scalability.
• Support data governance initiatives across the commercial data landscape.

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field (Master's a plus).
• 7+ years in data management/delivery, with 3+ years specifically in pharma/biotech/life sciences commercial data .
• Experience with commercial data platforms: Veeva CRM, Salesforce, MDM tools (Reltio, IQVIA OneKey), incentive compensation systems.
• Strong knowledge of pharma commercial data sources: IQVIA (Xponent, DDD), Symphony Health/Komodo, claims data, specialty pharmacy/hub data, HCP/HCO reference data.
• Proficiency in SQL, ETL/data pipeline tools, and cloud data warehousing (Snowflake, Databricks, Redshift).
• Program/project management experience delivering technical solutions in a regulated, matrixed environment.
• Strong stakeholder management skills across business and technical functions.

• Experience with cloud platforms (AWS, Azure, GCP) and modern data stack tools (dbt, Airflow, Informatica).
• Familiarity with BI/visualization tools (Power BI, Tableau, Qlik, Spotfire).
• Understanding of pharma compliance (Sunshine Act, HIPAA, OIG guidelines) as applied to commercial data use.
• Agile/Scrum or PMP certification.

• Broad domain fluency across pharma commercial functions (not siloed to one area)
• Technical depth in data architecture/integration
• Vendor and cross-functional stakeholder management
• Strong analytical/problem-solving orientation
• Comfort operating in a highly regulated, compliance-sensitive environment

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