Job description summaryact as the strategic "front door" for therapeutic areas (tas) and value & access (v&a) to translate business priorities into key business questions (kbqs), research needs and analytical outputs, ensuring insights are decision-ready and actionable.the role bridges strategy with execution by orchestrating insight generation (primary/secondary mr, competitive intelligence) and aligning deliverables with the data, analytics & platforms (dap) pillar for scalable reporting, dashboards and analytics tools.job descriptionnumber of associates: individual contributor (may coordinate vendors / cross-functional teams)financial responsibility:decision making- prioritizes local insights, analytics requests, dashboards and platform requirements based on business needs, recommending "must-answer" questions for cycles (business review/qbrs, brand plans, launches, scenario planning).- recommends research approaches, data sources and analytical methods aligned with governance and international standards.- supports insights planning and ensures reuse of existing international research via knowledge platforms before launching new studies.external/internal stakeholders interfaceta & marketing heads, v&a leads, finance, customer excellence, dap/ddit, bsi/international insights ops, external mr/data vendors.impact on the organizationenables insight-driven decisions for tas and v&a by delivering integrated market understanding and scenario-based guidance, increasing planning quality, launch readiness and commercial effectiveness, while reducing duplication through reuse of existing knowledge and scalable analytics delivery via dap.major accountabilitiesinsight generation & market understanding- lead the integrated insights agenda for assigned tas.- generate and synthesize insights from primary/secondary market research and competitive intelligence.- drive market research planning: patient journey mapping, segmentation inputs, market sizing, drivers/barriers, ecosystem and payer insights.- ensure efficiency by reusing existing international research/knowledge platforms before initiating new pmr; act as facilitator for internationally driven pmr.forecasting, scenario planning & growth opportunities- partner with finance and tas to build scenario plans, assess growth opportunities, and align on assumptions ("one unified view" across functions).- translate strategy into measurable kpis and define what dap needs to collect, visualize and monitor.orchestration with dap- convert business questions into analytics briefs and requirements for dap (dashboards, data products, reporting cadences), ensuring clear definition of done and decision use.- coordinate vendor briefings (mr/data acquisition) in collaboration with tas and procurement teams, and ensure timely delivery, quality checks and stakeholder-ready storytelling.stakeholder partnership & governance- maintain strong stakeholder engagement, ensuring transparency of priorities, timelines and trade-offs.- operate within excellence and execution pillars: enable execution excellence, promoting collaboration and cross-functional projects.key performance indicators- decision enablement: support key ta / value & access decisions (e.g., one brand plan, forecast, scenario planning, launch readiness) explicitly supported by integrated insights outputs.- quality of key business questions (kbqs): proportion of initiatives entering data, analytics & platforms with clearly defined, prioritized kbqs and a documented "decision to be enabled," minimizing rework and misalignment.- adoption of insights & recommendations: insights and recommendations that are adopted or translated into concrete actions by ta / value & access stakeholders.- forecasting & scenario alignment: level of cross-functional alignment (ta, finance, v&a) on forecast assumptions, scenarios, and interpretations, measured through reduced iterations and timely cycle completion.- execution bridge effectiveness (insights ? Dap): effectiveness in translating business priorities and kbqs into clear analytical briefs, resulting in on-time, fit-for-purpose delivery by data, analytics & platforms teams.ideal backgroundeducationbusiness, life sciences, economics, engineering, data/analytics or related.languages: english + local language desirable.experience / professional requirement- experience in integrated insights, market research, analytics, forecasting/scenario planning in regulated industries.- proven ability to translate business priorities into kbqs and decision-ready narratives; vendor coordination is a plus.skills desired- agility, analytical thinking, brand awareness, business analytics, cross-functional collaboration, digital marketing, marketing strategy, media campaigns, project management, project planning, sales, stakeholder engagement, stakeholder management, strategic marketing, waterfall model.#j-*-ljbffr