Technical/Functional (Line) Expertise (Breadth and depth of knowledge, application and complexity of technical knowledge)
• Strong expertise in data engineering or data platform ownership, including source systems, data models, pipelines, integration patterns, and enterprise architecture concepts applied to a business function.
• Proven experience running a reporting or analytics delivery operation at scale, covering dashboard production, retrospective reporting, service levels, and continuous improvement.
• Ability to combine that delivery discipline with insight generation, KPI design, and decision support so outputs lead to business outcomes, not just reports.
• Depth in Medical Affairs operating models, MSL workflows, scientific engagement strategy, publication and congress planning, medical information, and evidence generation, with a clear understanding of the compliance boundaries that govern Medical activity.
• Familiarity with KOL identification and network analysis, scientific text mining and NLP applied to literature and MSL notes, citation analytics and share of scientific voice methods, and the judgment to select the right approach for the business question and data available.
Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change)
• Leadership role accountable for designing the model, building the team, and running the I&A factory across Medical capabilities; sets direction for the capability in line with Global Medical and PIBO strategy.
• Recruits, develops, and leads a multi-disciplinary team, creating an environment where analysts grow business context, technical depth, and the confidence to challenge.
• Operates through partnership, influence, and cross-functional collaboration across time zones, aligning global stakeholders and enterprise partners without direct authority.
• Serves as a functional expert and thought partner on insights, analytics, performance measurement, and evidence-based decision support.
• Builds stakeholder confidence in data and analytics through clear communication, transparency, and practical enablement.
Decision-making and Autonomy (capacity and authority to make organizational decisions, autonomy, complexity, impact, problem-solving)
• Accountable for designing the I&A operating model and setting the capability roadmap, resourcing plan, and delivery standards within agreed Global Medical priorities and GCC parameters.
• Exercises judgment in translating incomplete or imperfect data into insights, options, recommendations, and escalation points.
• Balances stakeholder needs, portfolio priorities, data limitations, and resource constraints to support aligned execution.
• Recommends improvements to KPIs, reporting, methodologies, and decision-support approaches; escalates material risks and decisions to leadership as needed.
Interaction (span and nature of engagement with others)
• Partners closely with the Medical Insights CoE lead, Global Medical leadership and therapeutic area leads, DD&T, enterprise analytics and shared services, R&D, Finance, local operating companies, and external data and analytics vendors.
• Engages stakeholders to clarify business questions, agree data definitions and access, interpret outputs, and translate insights into practical action.
Innovation (knowledge sharing, innovation, and risk taking)
• Identifies opportunities to improve analytics, dashboards, performance measurement, data quality, and insight generation.
• Tests and scales practical improvements, including advanced analytics, AI and GenAI applied to KOL profiling, literature and congress monitoring, MSL insight synthesis, inquiry triage analytics and narrative generation, in partnership with relevant subject matter experts and with appropriate human validation.
Complexity (products managed, business environment, cultural considerations)
• Delivers globally from the India GCC across multiple time zones, with varying data maturity, fragmented source systems, and a mix of internal and vendor delivery resources.
• Integrates Medical, R&D, Finance, DD&T, and external data sources into a coherent enterprise view while navigating a regulated environment, privacy requirements, and cross-geography constraints.