Key Responsibilities · Lead the Data Execution & Operations program across all Takeda USBU and OBU markets, ensuring consistent delivery, operational stability, and business continuity. · Partner closely with the U.S. Director of Data Execution & Operations to manage day-to-day operational activities, execution priorities, enhancements, and cross-market dependencies. · Own end-to-end operational execution, including data processing, production support, incident management, release readiness, operational handoffs, and issue escalation. · Establish and continuously improve the operating model, including roles, responsibilities, governance forums, decision rights, escalation paths, and communication rhythms. · Define, track, and report service-level agreements (SLAs), operational KPIs, delivery metrics, recurring issues, and improvement actions. · Prepare and present regular operational reporting covering SLA performance, KPIs, delivery status, incidents, risks, backlog, demand, and continuous improvement actions. · Maintain an integrated backlog and demand tracker with clear ownership, prioritization, status, dependencies, target timelines, and escalation needs. · Provide leadership with transparent visibility into the delivery pipeline, upcoming demand, resource capacity, operational risks, and decisions required. · Work closely with the team to identify operational inefficiencies and implement automation that reduces manual effort, improves quality, and accelerates issue resolution. · Drive structured root cause analysis and sustainable remediation for production issues, data delays, recurring defects, and cross-platform dependencies. · Bring forward new ideas, tools, and delivery practices that improve reliability, transparency, scalability, cost efficiency, and user experience over time. · Ensure clear documentation, runbooks, standard operating procedures, knowledge transfer, and support readiness across all programs. · Provide timely and transparent updates to senior stakeholders on operational health, risks, dependencies, decisions, and corrective actions. · Lead timely escalations for critical incidents, delivery risks, unresolved dependencies, capacity constraints, and items requiring leadership intervention. ICC Team Leadership and Talent Management · Lead the ICC Data Execution & Operations organization, with ICC team members reporting directly to the Director. · Build a high-performing team with clear accountability, strong ownership, defined goals, and measurable outcomes. · Coach and develop team members, strengthen technical and operational capabilities, and create development and succession plans. · Ensure the right skills, capacity, and leadership coverage are aligned to USBU and OBU priorities. · Promote a culture of responsiveness, collaboration, transparency, continuous learning, and proactive problem-solving. · Coordinate effectively with onsite teams and delivery partners across locations and time zones. Operational Governance and Continuous Improvement · Create a standardized operating model that can be applied consistently while supporting market- and franchise-specific data, business rules, and operational needs. · Implement governance routines for service reviews, SLA performance, incident trends, risk management, prioritization, and continuous improvement. · Establish dashboards and reporting that provide clear visibility into operational performance, backlog, recurring issues, team capacity, and improvement progress. · Develop an automation roadmap focused on monitoring, alerting, reconciliation, workflow orchestration, issue triage, and recurring operational activities. · Use service data, trend analysis, stakeholder feedback, and lessons learned to identify and prioritize improvement opportunities. · Ensure operational processes are scalable, documented, auditable, compliant, and ready to support product launches and changing business priorities. Stakeholder and Partner Management · Partner with USBU and OBU business leaders, data teams, analytics, architecture, governance, source-system teams, platform teams, and operations stakeholders. · Translate business priorities into clear execution plans, operational commitments, and measurable service outcomes. · Lead operational reviews and communicate issues, risks, dependencies, trade-offs, and decisions clearly to technical and non-technical stakeholders. · Oversee vendor and delivery partner performance, including staffing, service levels, quality, timelines, financials, and corrective actions. · Ensure shared resources, responsibilities, and dependencies are transparent across programs. Pharma and Life Sciences Responsibilities · Apply strong knowledge of pharmaceutical commercial and oncology data to operational planning, execution, issue resolution, and continuous improvement. · Provide operational leadership across customer, patient, product, sales, claims, specialty pharmacy, market access, field activity, and syndicated data, as applicable. · Ensure sensitive and regulated data is handled with appropriate privacy, security, access, retention, lineage, quality, and audit controls. · Partner with market and franchise stakeholders to understand business rules, data frequencies, critical processes, and service expectations. · Anticipate operational readiness needs for product launches, new data sources, platform changes, and evolving business models. Required Qualifications and Skills · 12+ years of progressive experience in data operations, data engineering, data delivery, production support, or related technology disciplines, including significant leadership responsibility. · Proven experience leading large, distributed teams and managing direct reports in an enterprise or capability-center environment. · Demonstrated experience leading operations across multiple business units, markets, franchises, platforms, or programs. · Strong experience establishing operating models, governance routines, SLAs, KPIs, incident management, escalation processes, and continuous improvement programs. · Experience using automation, monitoring, reconciliation, 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 managing portfolios, vendors, capacity, budgets, operational risks, service levels, and executive communications. · Strong pharmaceutical or life sciences domain knowledge, preferably across commercial and oncology data ecosystems. · Ability to influence senior stakeholders, simplify complex issues, make sound decisions, and drive accountability across organizational boundaries. · Bachelor's degree in computer science, engineering, data science, information systems, business, or a related discipline, or equivalent practical experience.
