Senior Product Manager - Biologics and Lab Automation
8 days ago
Gijón
About us For more than 25 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 6000+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do. ¿Le interesa este puesto? Puede encontrar toda la información relevante en la descripción a continuación. At Xebia, we put ‘People First’—committed to attracting diverse talent and fostering an inclusive, respectful workplace where everyone is valued for their contributions. We welcome all individuals and evaluate solely on the quality of their work and teamwork. About the Role We are looking for a Senior Technical Product Manager to join our life sciences R&D product team, supporting large-scale digital transformation initiatives for a leading pharmaceutical client. This role requires a strong combination of technical depth, product strategy, and stakeholder management, focused on complex platform products used by researchers, scientists, and data engineers across biology, chemistry, and computational science domains. You will take ownership of strategic products or portfolios of applications, driving continuous discovery, innovation, and measurable business value within a hybrid delivery model that combines agile execution with structured governance frameworks (PDLC). This is a highly collaborative, partnership-driven role where you will work closely with engineering teams, business stakeholders, and multi-vendor environments to deliver impactful R&D solutions. What You’ll Do • Own the end-to-end product lifecycle for R&D platform products, from strategy and roadmap definition to delivery and continuous value validation, • Lead products through structured governance frameworks (e.g., PDLC), ensuring alignment across strategy, requirements, architecture, and launch checkpoints, • Drive product discovery through user research, stakeholder engagement, and continuous feedback loops with scientists and business users, • Translate complex scientific and technical requirements into clear product plans, user stories, and prioritized backlogs, • Collaborate closely with engineering, data, and business teams to define solutions, manage dependencies, and ensure successful delivery, • Drive release planning, UAT, and launch readiness across technical and non-technical stakeholders, • Operate effectively within a hybrid delivery model, balancing agile execution with structured governance requirements, • Leverage AI tools (e.g., Gemini Pro, Atlassian AI) to enhance prioritization, velocity forecasting, and product insights, • Apply data-driven techniques such as sentiment analysis and predictive analytics to inform backlog prioritization and decision-making, • Co-develop AI/GenAI use cases with stakeholders to improve research workflows and product capabilities, • Promote automation in documentation and requirements generation through AI-powered solutions, • Maintain high-quality documentation and communicate progress, risks, and outcomes to stakeholders and governance forums What You Bring • 8+ years of experience in product management, ideally in technical or platform-based environments, • Experience in structural biology, protein science, or nucleic acid-based drug discovery workflows is highly valued, particularly in areas such as protein structure analysis, structural data platforms, or oligonucleotide design systems, • Experience working in regulated or complex domains (e.g., life sciences), with the ability xcskxlj to bridge technical and non-technical audiences, • Experience delivering AI-native or data-intensive products, including the application of AI/GenAI capabilities within product environments, is highly valued, • Proven ability to define product strategy, manage roadmaps, and deliver business value in complex environments, • Strong experience translating ambiguous requirements into structured documentation and actionable plans, • Solid understanding of agile methodologies and experience working within hybrid delivery models, • Advanced proficiency with tools such as Jira and Confluence for backlog management and documentation, • Strong technical background, with experience working with cloud platforms (GCP preferred), APIs, and data-driven systems, • Ability to collaborate effectively with engineers, data teams, and business stakeholders Nice to Have • Experience with high-performance computing (HPC) environments or large-scale data processing, • Familiarity with authentication systems (e.g., SSO, LDAP) and enterprise security models, • Experience working in multi-vendor environments, • Knowledge of data movement challenges related to large-scale scientific datasets, • Cloud certifications (e.g., GCP Professional Cloud Architect)
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