Senior Product Manager - Biologics and Lab Automation
22 hours ago
Gijón
pbAbout us /b /ppFor 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. /ppbr/ppAt 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. /ppbr/ppbAbout the Role /b /ppWe are looking for a bSenior Technical Product Manager /b to join our life sciences RD product team, supporting large-scale digital transformation initiatives for a leading pharmaceutical client. /ppThis role requires a strong combination of btechnical depth, product strategy, and stakeholder management /b, focused on complex platform products used by researchers, scientists, and data engineers across biology, chemistry, and computational science domains. /ppYou will take ownership of bstrategic products or portfolios of applications /b, driving continuous discovery, innovation, and measurable business value within a bhybrid delivery model /b that combines agile execution with structured governance frameworks (PDLC). /ppThis is a highly collaborative, partnership-driven role where you will work closely with engineering teams, business stakeholders, and multi-vendor environments to deliver impactful RD solutions. /ppbr/ppbWhat You’ll Do /b /pulliOwn the end-to-end product lifecycle for RD platform products, from strategy and roadmap definition to delivery and continuous value validation /liliLead products through structured governance frameworks (e.g., PDLC), ensuring alignment across strategy, requirements, architecture, and launch checkpoints /liliDrive product discovery through user research, stakeholder engagement, and continuous feedback loops with scientists and business users /liliTranslate complex scientific and technical requirements into clear product plans, user stories, and prioritized backlogs /liliCollaborate closely with engineering, data, and business teams to define solutions, manage dependencies, and ensure successful delivery /liliDrive release planning, UAT, and launch readiness across technical and non-technical stakeholders /liliOperate effectively within a hybrid delivery model, balancing agile execution with structured governance requirements /liliLeverage AI tools (e.g., Gemini Pro, Atlassian AI) to enhance prioritization, velocity forecasting, and product insights /liliApply data-driven techniques such as sentiment analysis and predictive analytics to inform backlog prioritization and decision-making /liliCo-develop AI/GenAI use cases with stakeholders to improve research workflows and product capabilities /liliPromote automation in documentation and requirements generation through AI-powered solutions /liliMaintain high-quality documentation and communicate progress, risks, and outcomes to stakeholders and governance forums /li /ulpbr/ppbWhat You Bring /b /pulli8+ years of experience in product management, ideally in technical or platform-based environments /liliExperience 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 /liliExperience working in regulated or complex domains (e.g., life sciences), with the ability to bridge technical and non-technical audiences /liliExperience delivering AI-native or data-intensive products, including the application of AI/GenAI capabilities within product environments, is highly valued /liliProven ability to define product strategy, manage roadmaps, and deliver business value in complex environments /liliStrong experience translating ambiguous requirements into structured documentation and actionable plans /liliSolid understanding of agile methodologies and experience working within hybrid delivery models /liliAdvanced proficiency with tools such as Jira and Confluence for backlog management and documentation /liliStrong technical background, with experience working with cloud platforms (GCP preferred), APIs, and data-driven systems /liliAbility to collaborate effectively with engineers, data teams, and business stakeholders /li /ulpbr/ppbNice to Have /b /pulliExperience with high-performance computing (HPC) environments or large-scale data processing /liliFamiliarity with authentication systems (e.g., SSO, LDAP) and enterprise security models /liliExperience working in multi-vendor environments /liliKnowledge of data movement challenges related to large-scale scientific datasets /liliCloud certifications (e.g., GCP Professional Cloud Architect) /li /ul