•Lead day-to-day Data Execution & Operations activities for one or more assigned therapeutic areas, ensuring delivery stability, business continuity, and timely execution.
•Report to and partner closely with the Director of Data Execution & Operations to execute portfolio priorities, operational plans, enhancements, and continuous improvement initiatives.
•Act as the primary operational contact for assigned therapeutic areas and maintain a detailed understanding of their data sources, business rules, processing frequencies, dependencies, and service expectations.
•Provide hands-on oversight of data processing, production support, incident management, issue triage, release readiness, operational handoffs, and post-release validation.
•Maintain an integrated backlog and demand tracker with clear scope, ownership, priority, status, dependencies, target timelines, and escalation needs.
•Track and report SLAs, operational KPIs, delivery status, incidents, recurring issues, backlog health, demand, risks, and improvement actions.
•Provide the Director and leadership with a clear and transparent view of work in the pipeline, upcoming demand, operational health, capacity needs, and decisions required.
•Lead timely escalation of critical incidents, data delays, delivery risks, unresolved dependencies, and capacity constraints.
•Work directly with teams to investigate issues, perform root cause analysis, coordinate corrective actions, and confirm sustainable resolution.
•Identify and implement automation, monitoring, reconciliation, alerting, and workflow improvements that reduce manual effort and improve reliability.
•Bring forward practical ideas and reusable approaches that strengthen operational quality, efficiency, responsiveness, and stakeholder experience.
Therapeutic Area and Team Leadership
•Own operational delivery for one or more therapeutic areas and align execution with market, franchise, brand, and launch priorities.
•Coordinate the day-to-day work of ICC team members supporting the assigned therapeutic areas, providing direction, prioritization, coaching, and issue-resolution support.
•Ensure team responsibilities, coverage, handoffs, and escalation paths are clear and consistently followed.
•Build strong working relationships with business stakeholders and develop a practical understanding of therapeutic-area processes, critical data, and downstream impacts.
•Support team development by strengthening technical, domain, operational, and stakeholder-management capabilities.
•Promote a culture of ownership, responsiveness, transparency, collaboration, and proactive problem-solving.
Operational Governance and Continuous Improvement
•Apply the enterprise operating model within assigned therapeutic areas while accommodating market- and franchise-specific needs.
•Run regular operational reviews covering SLA performance, delivery commitments, incident trends, backlog, demand, risks, dependencies, and improvement progress.
•Ensure operating procedures, runbooks, support documentation, ownership matrices, and escalation protocols remain complete and current.
•Develop and maintain dashboards and reports that provide actionable visibility into performance, pipeline, recurring issues, capacity, and improvement actions.
•Use operational data, trend analysis, stakeholder feedback, and lessons learned to prioritize automation and process improvements.
•Ensure operational readiness for product launches, new data sources, platform changes, business-rule changes, and major releases.
Stakeholder and Partner Management
•Partner with therapeutic-area business leaders, data teams, analytics, architecture, governance, source-system teams, platform teams, and operations stakeholders.
•Translate business needs and priorities into clear operational requirements, work plans, ownership, and service commitments.
•Communicate delivery status, issues, risks, dependencies, and trade-offs clearly to technical and non-technical stakeholders.
•Coordinate vendor and delivery-partner execution for assigned therapeutic areas, including staffing, quality, timelines, service performance, and corrective actions.
•Escalate material risks and decisions to the Director of Data Execution & Operations with clear context, impact, options, and recommended actions.
Pharma and Life Sciences Responsibilities
•Apply pharmaceutical commercial and oncology data knowledge to operational execution, validation, issue investigation, and continuous improvement.
•Support customer, patient, product, sales, claims, specialty pharmacy, market access, field activity, and syndicated data operations, as applicable to assigned therapeutic areas.
•Ensure sensitive and regulated data is handled with appropriate privacy, security, access, retention, lineage, quality, and audit controls.
•Understand therapeutic-area business rules, data frequencies, critical processes, reporting cycles, and service expectations.
•Coordinate operational readiness and stabilization activities for product launches and changing business priorities.
Required Qualifications and Skills
•10+ years of progressive experience in data operations, data engineering, data delivery, production support, or related technology disciplines, including team or program leadership responsibility.
•Proven experience managing day-to-day operations and delivery for complex data programs, portfolios, markets, franchises, or therapeutic areas.
•Demonstrated ability to work hands-on with teams to investigate issues, coordinate execution, manage priorities, and drive work through resolution.
•Strong experience with SLAs, KPIs, incident management, backlog and demand management, operational reporting, escalation, and continuous improvement.
•Experience using automation, monitoring, reconciliation, alerting, and observability to improve operational performance and reduce manual effort.
•Working knowledge of modern data platforms, Databricks, cloud technologies, ETL/ELT processes, data pipelines, and production-support practices.
•Experience coordinating distributed teams, vendors, stakeholders, dependencies, capacity, and delivery risks.
•Strong pharmaceutical or life sciences domain knowledge, preferably across commercial or oncology data ecosystems.
•Ability to communicate complex operational issues clearly, influence stakeholders, make sound decisions, and drive accountability.
•Bachelor's degree in computer science, engineering, data science, information systems, business, or a related discipline, or equivalent practical experience.
