Senior Director, Data Operations & Enablement

Role & Responsibilities

• Own the reliability and business continuity of the commercial data operation — establishing SLAs, monitoring, alerting, and incident management that ensure timely, accurate data delivery across all Commercial functions — and run the end-to-end data supply chain from source ingestion through curated, consumption-ready layers.
• Own integration of all commercial data sources — including specialty pharmacy / hub, IDN, claims, distributor 852/867, syndicated (e.g., IQVIA), CRM / Veeva, formulary and access (e.g., MMIT), and gross-to-net / contract (e.g., Model N, IntegriChain) data — into governed, analytics-ready assets.
• Set and evolve the commercial data architecture on a modern cloud platform (e.g., Azure / Microsoft Fabric, Databricks, or Snowflake), applying medallion / lake house patterns for scalability, performance, and cost efficiency in partnership with the Data Strategy & Enrichment lead.
• Establish and enforce enterprise-grade data quality frameworks — validation, reconciliation, monitoring, and root-cause remediation — with clear data stewardship and accountability across domains.
• Own master data management (MDM) across customer / HCP / HCO, product, payer, and territory domains, including identity resolution, hierarchy management, and reference data.
• Operationalizing a catalog of reusable, governed data products and a semantic layer that enable trusted self-service analytics and AI.
• Own the business intelligence platform and governed reporting layer (e.g., Power BI, Tableau), enabling consistent, reliable, self-service reporting across the Commercial organization.
• Establish data governance, cataloging, and lineage (e.g., Microsoft Purview) and ensure compliance with privacy and regulatory requirements — including HIPAA / expert-determination standards, patient-level tokenization (e.g., Datavant, IQVIA) — in partnership with Privacy, Legal, IT Security, and Compliance.
• Build, lead, and scale a multidisciplinary team spanning data engineering, data operations, BI development, and data stewardship; operate as a player/coach, shape the org design, and develop talent.
• Manage relationships and commercials with data aggregators and platform vendors, partner closely with enterprise IT, and own the multi-year data operations roadmap — driving automation, modernization, and AI-enablement of data operations (e.g., AI-assisted data quality, pipeline monitoring, and metadata management) to scale efficiently.

Qualifications

Typical Degree & Years of Experience

• Bachelor's degree in computer science, engineering, information systems, a quantitative field, or a related discipline; advanced degree preferred.
• 15+ years of experience in data operations, data engineering, data management, or commercial data within pharmaceutical or biotech, including hands-on work with commercial data sources.
• Experience leading, building and scaling multidisciplinary data teams.
• Demonstrated ownership of data integration, data quality, and master data management (MDM) in a production environment.
• Experience with modern cloud data platforms (e.g., Azure / Microsoft Fabric, Databricks, Snowflake) and data integration / ETL-ELT at scale.
• Experience with BI platforms (e.g., Power BI, Tableau) and enabling governed self-service analytics.

Preferred

• Deep familiarity with pharma commercial data — specialty pharmacy / hub, claims, distributor 852/867, syndicated (IQVIA), CRM / Veeva, MMIT, Model N / IntegriChain.
• Experience with data governance and cataloging tools (e.g., Microsoft Purview, Alation, Databricks) and data lineage.
• Experience with patient-level data tokenization and privacy-preserving linkage (e.g., Datavant, IQVIA) and HIPAA / expert-determination compliance.
• Experience integrating Commercial data with Medical and/or R&D data.
• Experience applying AI and automation to data operations.
• Experience supporting specialty or rare disease brands, ideally through launch and scale.

Skills & Competencies

• Deep technical fluency in data engineering, integration, quality, and architecture, paired with the operational discipline to run reliable production data operations.
• Ability to balance strategic platform and roadmap decisions with hands-on problem-solving.
• Strong vendor, IT, and cross-functional partnership; translates business needs into scalable, governed data solutions.
• Clear communicator who aligns technical and business stakeholders around data standards and priorities.
• Player/coach leadership; builds, scales, and develops high-performing data teams.