Portfolio Analyst & Decision Science

Portfolio Analyst & Decision Science Job Details | Lundbeck We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve the website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Modify Cookie Preferences Reject All Cookies Accept All Cookies Language Language Language Search jobs by keyword Search jobs by location Loading... Country/Region State Location Job Category Select how often (in days) to receive an alert: Create Alert × Select how often (in days) to receive an alert: Portfolio Analyst & Decision Science Requistion ID: 8008 Location: Copenhagen, Danish Capital Region, DK Senior Manager, Portfolio Analyst & Decision Science Lundbeck’s ability to deliver transformative medicines depends not only on strong science, but also on making high-quality choices about where, when and how to invest. These decisions are often made under significant uncertainty and require teams and leaders to balance patient impact, scientific risk, development timing, commercial value, strategic fit and limited resources. To strengthen these choices, Lundbeck is building Decision Quality (DQ) as a practical enterprise capability across R&D, Commercial, Chemistry Manufacturing Controls (CMC), portfolio management and governance. The ambition is to make clear decision framing, meaningful alternatives, transparent assumptions, explicit trade-offs and disciplined commitment, a more consistent part of how important decisions are prepared and made. Lundbeck will scale this capability through dedicated DQ expertise, fit-for-purpose decision support, integration with governance and portfolio processes, common tools and guidance, and an internal community that can apply practical DQ habits in day-to-day work. The Senior Manager, Portfolio Analyst & Decision Science, will help lead this expansion. The role will serve as a hands-on internal consultant to project teams, functional leaders and governance stakeholders, while also building the practices, tools and internal capability needed to make DQ a sustainable and repeatable way of working. Why this role matters Demand for DQ support now spans R&D, CMC, governance preparation, portfolio questions and training workshops. A community of internal colleagues can scale common language and basic practices, but high-stakes framing, portfolio trade-offs, leadership facilitation and complex decision support require dedicated expertise. The role reduces key-person dependency, increases decision-support capacity and helps embed DQ as a repeatable way of working rather than an occasional workshop. The role strengthens Lundbeck’s ability to make clear, transparent and aligned choices under uncertainty. Your new role Key responsibilities: Strategic decision consultation and facilitation Partner with Global Product Teams (GPTs), and portfolio stakeholders to frame high-value decisions before teams move into solution mode. Facilitate practical DQ workshops and alignment discussions that clarify the decision, objectives, alternatives, trade-offs, assumptions, uncertainties and commitment requirements. Help teams convert complex scenario work into decision-ready recommendations with clear asks, logic, alternatives and conditions for confidence. Create an environment where constructive challenges, divergent thinking and transparent trade-offs improve decision quality rather than slow decision-making. Support preparation for governance forums by improving the quality of framing, option development, assumption transparency, recommendation logic and meeting materials. Portfolio decision science and analytical support Collaborate with R&D Finance and GPTs: Apply decision analysis methods such as decision trees, sensitivity analysis, scenario analysis, probabilistic modelling, risk assessment and multi-criteria decision analysis where appropriate to the decision need. Develop, review and improve decision models, business cases and trade-off analyses used to support portfolio, project and investment decisions. Help teams identify which uncertainties matter most, which assumptions are most relevant, and what analysis would meaningfully change a decision. Prepare and synthesize portfolio analyses, key messages, decision points and supporting exhibits for SPC pre-reads and meeting discussions in partnership with the Senior Director, Portfolio Decision Science. Ensure analysis is decision-relevant, transparent and proportionate - avoiding unnecessary modelling when a lighter DQ approach is sufficient. Governance and process enhancement Help define practical standards, tools and templates for decision framing, DQ readiness, scenario comparison, assumptions management and decision-ready recommendations. Work with governance stakeholders to improve the consistency and quality of decision materials, pre-reads, SPC meeting materials and leadership discussions. Develop simple checkpoints that help teams assess whether a decision is ready for governance or requires more framing, alternatives, assumption work or stakeholder alignment. Capture lessons learned from major decisions and translated into improved practices, examples and reusable guidance. Capability building and DQ community development Help build and sustain an internal DQ community made up of colleagues across functions who can champion and apply practical DQ habits in their teams. Design and deliver training, coaching and mentoring that makes DQ accessible, pragmatic and scalable across Lundbeck. Develop case studies, examples and playbooks that show how DQ improves real Lundbeck decisions. Coach colleagues on facilitation, framing, alternatives generation, assumption transparency, and decision-ready communication. Contribute to a culture where good decision-making is recognized as an organization culture, not an individual capability. Your future team You will work closely with the Senior Director, Portfolio Decision Science and the broader Corporate and Portfolio Strategy team to strengthen decision quality across key enterprise and project decisions. You will combine practical facilitation, analytical discipline, strategic judgement and capability building. You will also support Strategic Portfolio Committee (SPC) activities, including portfolio analysis and the development of clear, decision-ready materials for SPC meetings. The position is based in Valby, Denmark, with hybrid working possible. What you bring to the team Experience Typically, 5+ years of relevant experience in decision science, portfolio strategy, strategic planning, management consulting, operations research or related discipline. Candidates with fewer years of experience may also be considered where they demonstrate strong relevant capabilities and organizational knowledge. Experience supporting complex cross-functional decisions in biopharma, healthcare, life sciences or another science-based industry. Demonstrated ability to work with senior stakeholders and project teams on ambiguous, high-consequence decisions under uncertainty. Experience facilitating workshops or leadership discussions where objectives, alternatives, trade-offs and assumptions must be made explicit. Experience building or reviewing business cases, scenarios, decision models or strategic recommendations is strongly preferred. Technical and analytical capabilities Strong understanding of decision quality principles and practical decision analysis methods. Ability to apply methods such as decision trees, sensitivity analysis, probabilistic modelling, scenario planning, risk assessment and multi-criteria decision analysis when appropriate.