{"id":4323793,"url":"https://alion.io/job/pfizer-sr-manager-solution-engineer-visualization-analytics-collaboration","title":"Sr. Manager, Solution Engineer, Visualization, Analytics & Collaboration","company":{"id":3480,"name":"Pfizer","domain":"pfizer.com","url":"https://alion.io/company/pfizer","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":90,"open_postings":39,"ghost_share":0,"stale_share":0.59,"repost_share":0.026,"time_to_fill_p50_days":13,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","San Diego, United States","Thessaloniki, Greece","Tampa, United States","Cambridge, United States","Cork, Ireland","Berlin, Germany","United Kingdom","United States","Ireland"],"countries":["US","GR","IE","DE","GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":124400,"max":207400,"currency":"USD","period":"year","gross":null,"usd_annual":207400},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":true,"has_equity":false,"technologies":[{"name":"Amazon EKS","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google GKE","optional":false},{"name":"Helm","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"ArgoCD","optional":true},{"name":"GitOps","optional":true},{"name":"Grafana","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Plotly","optional":true},{"name":"Prometheus","optional":true},{"name":"React.js","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-14T22:30:21Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T22:30:21Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Role Summary\nDiscovery, Preclinical, and Translational Solutions (DP&TS) sits at the center of Pfizer’s scientific software work, building the digital tools that help researchers move from target identification through clinical translation.\nThis is a hands-on engineering role. You’ll build and run workloads on AWS and GCP using Kubernetes and containers, and you’ll write production code in Python or JavaScript/TypeScript. You’ll own both the platforms and the applications that run on them.\nWe’re looking for a Solution Engineer to own data visualization, analytics, and collaboration capabilities for integrative biology within DP&TS. In this individual contributor role you’ll design, build, and maintain the platform, not just direct others. You’ll also work closely with the aligned capability lead to prioritize what gets built.\nYou’ll need strong technical depth in data visualization, analytics, collaboration platforms, and cloud-native engineering, along with the ability to set standards for the capability area. You’ll lead contractors as needed and partner across scientific, product, and engineering stakeholders to deliver secure, scalable solutions.\nReporting to the Principal Engineer, Integrative Biology Solutions, you’ll own the technical direction for visualization, analytics, and collaboration capabilities. This role doesn’t conduct data science research but you’ll need a strong grasp of how data scientists work and what they need from visualization and collaboration tooling to build the right platform.\nYour technical decisions affect the speed, quality, and reproducibility of research across DP&TS. The problems cross scientific workflows, data engineering, and cloud infrastructure.\nKey Responsibilities\nOwn and Lead Solution Implementation: own visualization, analytics, and collaboration solutions for Integrative Biology end-to-end: design, build, deployment, and maintenance.\nCollaborate with Capability Lead on Prioritization and Roadmap: work with the R&D Capability Lead to prioritize and scope features; translate scientific needs into concrete technical requirements and delivery plans.\nDesign and Implement Advanced Visualization and Analytics Solutions: architect, build, and maintain scalable visualization and analytics solutions for Integrative Biology research, including interactive dashboards, visual exploration tools, and platforms that handle large-scale biological datasets.\n Build and Operate Cloud Infrastructure: design, provision, and operate infrastructure on AWS and GCP using infrastructure-as-code. Deploy and manage containerized workloads on Kubernetes (EKS, GKE), including cluster configuration, networking, access control, scaling, and cost management.\nDevelop Production Software: write, test, and maintain production-quality code in Python or JavaScript/TypeScript, including services, APIs, automation, and web-based visualization applications. Follow sound engineering practices: version control, code review, automated testing, and CI/CD.\nDeliver Collaboration Solutions: build and maintain collaboration environments that let data scientists and research teams share and explore biological data securely and reproducibly.\nLead Contractor Teams and Delivery: direct contractor teams when needed: provide technical guidance, review work, and hold delivery to quality and security standards.\nDefine Standards and Best Practices: set and maintain technical standards and governance frameworks for the capability area, ensuring consistency and quality across the Integrative Biology ecosystem.\nDrive Continuous Improvement and Operational Excellence: proactively identify and address reliability, performance, scalability, and security gaps through monitoring, logging, and alerting across cloud and Kubernetes environments. Keep solutions current as scientific and operational needs evolve.\nUnderstand and Translate Scientific Needs: build a working knowledge of how data scientists use visualization, analytics, and collaboration tools - and use that understanding to build the right platform, not just a technically sound one.\nBasic Qualifications\nEducation: Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline)\nExperience:\n6+ years of progressive experience in solution engineering, software engineering, or infrastructure engineering, with hands-on design and implementation of cloud platforms and data visualization, analytics, or collaboration solutions\nProven experience owning and leading the end-to-end delivery of technical solutions in a complex enterprise or scientific environment, including requirements gathering, solution design, implementation, and ongoing maintenance\nExperience leading contractor teams or matrixed delivery teams to implement technical solutions, with strong ability to provide technical direction, manage work quality, and drive delivery outcomes\nTechnical Skills\nProficiency in Python and/or other modern high-level languages used in data engineering and scientific computing\nHands-on experience building and operating workloads on both AWS and GCP\nProduction experience with Kubernetes (EKS, GKE, or similar) and containerization (Docker), including Helm or equivalent packaging\nStrong software development skills in Python or JavaScript/TypeScript, with experience shipping and maintaining production code\nExperience with infrastructure-as-code (Terraform preferred) and CI/CD pipelines (e.g., GitHub Actions)\nWorking knowledge of data engineering and data platform concepts, including data ingestion, transformation, and storage patterns relevant to supporting visualization and analytics workloads in cloud environments\nOther Requirements\nDemonstrated experience in working with regulated data, compliance frameworks, and secure development practices\nAbility to lead complex engineering efforts across global, cross-functional teams\nFluent in English; capable of clear technical communication across scientific and engineering disciplines\nPreferred Qualifications\nEducation: Master’s or PhD in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline)\nDomain Expertise\nExperience working in pharmaceutical R&D, life sciences, academic research, or a similar scientific research environment; familiarity with how data scientists and computational biologists work and what visualization, analytics, and collaboration tools they depend on\nConceptual understanding of the data and analytical workflows used in integrative biology research, including the types of visualizations, analysis outputs, and collaborative review processes involved in omics, imaging, proteomics, or other high-dimensional biological data domains\nCloud and Platform Engineering\nAWS or GCP professional certifications; CKA or CKAD\nExperience with GitOps tooling (e.g., Argo CD, Flux)\nExperience with observability tooling (e.g., Prometheus, Grafana, CloudWatch, Cloud Monitoring)\nExperience building web front ends with modern frameworks (e.g., React) for data visualization\nResearch Domain Awareness\nHands-on experience with data visualization and analytics tools and platforms used in omics, imaging, proteomics, or other high-dimensional biological data analysis (e.g., Tableau, Spotfire, custom D3/Plotly/Dash applications)\nExperience implementing or administering scientific collaboration solutions (e.g., electronic lab notebooks, knowledge management platforms, shared analytical workspaces) in a research or enterprise environment\nScientific Collaboration\nDemonstrated ability to work collaboratively with data scientists, computational biologists, or research scientists to understand their workflows, translate their needs into technical requirements, and deliver solutions that fit their ways of working\nFamiliarity with FAIR data principles, scientific data management best practices, or open-source tools and ecosystems used in the life sciences research community\nCandidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.\nNON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS\nTravel up to 10% may be required for business activities.\nWork Location Assignment: Hybrid\nLast Date to Apply for Job: 11/30/2026\nThe annual base salary for this position ranges from $124,400.00 to $207,400.00.* In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.* The annual base salary for this position in Tampa, FL ranges from $111,900.00 to $186,500.00.This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview.Relocation assistance may be available based on business needs and/or eligibility.\nSunshine Act\nPfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.\nEEO & Employment Eligibility\nPfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.\nPfizer endeavors to makewww.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please . 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