Solutions Architect - Communications, Media, Entertainment and Games
Sr. Solutions Architect - Retail, Travel & Hospitality
Associate Director, Principal Data Engineer
Vir Biotechnology, Inc. is a clinical-stage biopharmaceutical company focused on powering the immune system to transform lives by discovering and developing medicines for serious infectious diseases and cancer. Its clinical-stage portfolio includes programs for chronic hepatitis delta and multiple PRO-XTEN dual-masked T-cell engagers across validated targets in solid tumor indications. Vir Biotechnology also has a preclinical portfolio of programs across a range of infectious diseases and oncologic malignancies.
Vir Biotechnology has exclusive rights to the universal PRO-XTEN masking platform for oncology and infectious disease. PRO-XTEN is a trademark of Amunix Pharmaceuticals, Inc., a Sanofi company.
We believe the success of our colleagues drives the success of our mission. We are committed to creating a company where everyone feels supported and encouraged to give their best.
THE OPPORTUNITY
Vir Biotechnology is seeking an Associate Director, Principal Data Engineer to lead scalable data, cloud, software, and AI-enabled research platforms that support scientific discovery, clinical data analysis, and program decision-making.
This role will build the foundation for AI-powered research workflows, including AI agents for research, QC/QA, and scientific/regulatory reporting, while partnering across Research, Clinical, Data Science, TechOps, Competitive Intelligence, and IT.
The ideal candidate is a forward-thinking technical leader who combines expertise in data engineering, scientific software, AWS cloud platforms, and practical AI implementation to transform complex scientific data into connected, searchable, and actionable insights. They excel at partnering with scientists, data scientists, and engineers to build trusted, scalable solutions that accelerate research while maintaining the highest standards of data quality, governance, validation, and reliability.
Reporting to the Senior Director, Research, this role is based in San Francisco with an expectation of three days per week in the office
WHAT YOU'LL DO
- Build AI-enabled research workflows and agents that help scientists search, analyze, summarize, and connect Vir-generated
- Develop AI agents for TCE research insights, Experimenta QC/QA review, and scientific/regulatory report
- Design trusted LLM, RAG, knowledge-search, and agentic AI workflows with traceability, validation, governance, and human
- Lead development and integration of scientific platforms, including SeqAssembler, HPD/dAIsY, SASTRY, OPAL Miner, and
- Build scalable research and clinical data pipelines for bioinformatics, genomics, machine learning, and scientific decision-making.
- Architect and operate AWS cloud infrastructure for AI/ML, bioinformatics, clinical analysis, and large-scale scientific data
- Strengthen data quality, metadata, lineage, observability, security, governance, and platform
- Partner cross-functionally to align data, cloud, application, and AI solutions with program
- Provide senior technical leadership across architecture, engineering practices, mentoring, and roadmap
WHO YOU ARE AND WHAT YOU BRING
- BS/MS in Computer Science, Data Engineering, Bioinformatics, Computational Biology, Engineering, or a related technical
- 12+ years of experience in data engineering, software engineering, scientific computing, cloud architecture, or scientific application
- Strong hands-on experience with Python and/or Java, including scalable data pipelines, APIs, services, and production-grade data
- Experience building AI/ML-enabled scientific applications using leading LLMs such as GPT, Claude, Gemini, or similar models, including RAG, knowledge search, agentic workflows, and governance
- Experience integrating LIMS, ELN, scientific data platforms, or experiment-management systems such as Experimenta to support data capture, analysis, quality review, and scientific
- Strong AWS cloud infrastructure experience, including compute, storage, networking, security, data processing, monitoring, automation, and operational
- Experience with modern cloud-based data platforms and workflow technologies such as Databricks, Snowflake, Redshift, Spark, Airflow, Nextflow, or similar
- Experience supporting bioinformatics, genomics, machine learning, clinical, healthcare, or other scientific data
- Strong knowledge of data modeling, metadata management, data quality, observability, governance, lineage, and platform
- Demonstrated technical leadership, including architecture ownership, roadmap development, mentoring, and cross-functional
- Excellent communication and collaboration skills across Research, Clinical, Data Science, IT, and business
WHO WE ARE AND WHAT WE OFFER
The expected salary range for this position is $176,500 to $246,500 per year. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors.
Vir Biotechnology's compensation and benefits are aligned with the current market and commensurate with the person’s experience and qualifications. All full-time employees receive a package that includes compensation, bonus and equity as well as many other Vir Biotechnology benefits and perks such as health and welfare benefit plans, non-accrual paid time off, company shut down for holidays, commuter benefits, 401K match and lunch each day in the office.
Applicants must currently be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
All employment decisions at Vir Biotechnology are based on legitimate, non-discriminatory business requirements, job duties and individual qualifications. Employment decisions are made without regard to any legally protected characteristics.
This commitment extends to all management practices and decisions, including recruitment and hiring, compensation, appraisal systems, promotions, training and career development programs. Vir Biotechnology also strongly commits to providing employees with a work environment free of unlawful conduct or harassment.
Vir Biotechnology Human Resources leads recruitment and employment for Vir Biotechnology. Unsolicited resumes sent to the company from recruiters do not constitute any type of relationship between the recruiter and Vir Biotechnology and do not obligate us to pay fees should we hire from those resumes. We ask that external recruiters and/or agencies not contact or present candidates directly to our hiring manager or employees.
For hires based in the United States, Vir Biotechnology, participates in E-Verify.
Director I, Data Science Product Management
Job Description
Description
About the Team
The Enterprise Data & Data Science organization provides centralized product, platform, and technology support for Data Science teams across Liberty Mutual. Our team focuses on enabling the development, deployment, and adoption of AI/ML solutions through shared platforms, reusable capabilities, and enterprise-scale data science practices. We partner closely with Data Scientists, Engineers, Architects, and business stakeholders to accelerate innovation, improve operational efficiency, and help deliver business value through AI and machine learning.
Description
The Director, Data Science Product Management supports the organization, prioritization, and delivery of a portfolio of data science work that enables machine learning and AI solutions across Liberty Mutual. This role develops and drives product vision, represents the voice of the customer, and partners closely with Data Scientists, Engineers, Architects, and business stakeholders to deliver measurable business value.
This role serves as the Product Owner for a portfolio of data science enablement capabilities, partnering with engineering teams to translate customer needs into prioritized roadmaps, backlogs, and delivered solutions.
This role is ideal for a candidate who combines strong data science or technical expertise with product thinking and stakeholder leadership. Success requires the ability to understand the needs of Data Scientists, evaluate technical solutions, and translate complex technical concepts into product decisions and business outcomes.
This position may be filled as an Assistant Director or Director I, Data Science based on experience.
Asst Director, Data Science Product Management: $125,300 – $176,800
Dir I, Data Science Product Management: $142,800 – $201,300
Responsibilities
- Develop and drive product vision, roadmap, and prioritization for a portfolio of data science enablement capabilities.
- Develop business value estimates and success measures to inform prioritization and evaluate outcomes.
- Represent the voice of the customer and incorporate stakeholder feedback into product decisions.
- Partner with Data Scientists, Data Engineers, Software Engineers, and Architects to support the development, deployment, monitoring, and adoption of machine learning and AI solutions.
- Explore and evaluate technical solutions that improve model development, deployment, operational efficiency, and user experience.
- Drive the development and adoption of reusable patterns and platform capabilities that enable teams to more effectively deliver data science solutions.
- Partner with cross-functional teams to identify and prioritize technical debt reduction, DevOps, and MLOps improvements.
- Serve as Product Owner for assigned capabilities, developing, maintaining, and prioritizing product backlogs aligned to roadmap objectives and customer needs.
- Partner with delivery teams to support effective planning, execution, and delivery using Agile practices.
- Lead discussions, planning sessions, and stakeholder engagements for complex initiatives.
- Communicate product plans, priorities, recommendations, and outcomes to stakeholders and leadership.
Qualifications
- Asst Director, Data Science Product Management- Bachelor`s degree in quantitative field with 5 to 7 years of related experience within insurance, actuarial, data science or technology product management. Master`s degree preferred. ACAS helpful.
- Dir I, Data Science Product Management- Bachelor`s degree in quantitative field with 7+ years, typically 10 or more years, of related experience within insurance, actuarial, data science or technology product management preferred. FCAS / ACAS preferred
- Master`s degree preferred
- Strong understanding of data science concepts, machine learning workflows, experimentation practices, and model lifecycle management.
- Demonstrated understanding of the end-to-end data science lifecycle, including model development, deployment, monitoring, and business value realization.
- Experience working directly with Data Scientists and partnering with Engineering and Architecture teams to deliver technical capabilities and business outcomes.
- Familiarity with model deployment, monitoring, experimentation, DevOps, and MLOps practices.
- Familiarity with modern data, analytics, and AI technologies (AWS, Azure, Databricks, etc.).
- Experience supporting enterprise AI/ML platforms, data science enablement capabilities, or model operationalization efforts.
- Demonstrated ability to evaluate technical solutions and translate complex data science, AI, and engineering concepts into actionable product decisions and business outcomes.
- Experience working effectively in large, complex, and highly matrixed organizations.
- Strong communication, stakeholder management, influence, and organizational leadership skills.
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran’s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
Director I, Data Science Product Management
Job Description
Description
About the Team
The Enterprise Data & Data Science organization provides centralized product, platform, and technology support for Data Science teams across Liberty Mutual. Our team focuses on enabling the development, deployment, and adoption of AI/ML solutions through shared platforms, reusable capabilities, and enterprise-scale data science practices. We partner closely with Data Scientists, Engineers, Architects, and business stakeholders to accelerate innovation, improve operational efficiency, and help deliver business value through AI and machine learning.
Description
The Director, Data Science Product Management supports the organization, prioritization, and delivery of a portfolio of data science work that enables machine learning and AI solutions across Liberty Mutual. This role develops and drives product vision, represents the voice of the customer, and partners closely with Data Scientists, Engineers, Architects, and business stakeholders to deliver measurable business value.
This role serves as the Product Owner for a portfolio of data science enablement capabilities, partnering with engineering teams to translate customer needs into prioritized roadmaps, backlogs, and delivered solutions.
This role is ideal for a candidate who combines strong data science or technical expertise with product thinking and stakeholder leadership. Success requires the ability to understand the needs of Data Scientists, evaluate technical solutions, and translate complex technical concepts into product decisions and business outcomes.
This position may be filled as an Assistant Director or Director I, Data Science based on experience.
Asst Director, Data Science Product Management: $125,300 – $176,800
Dir I, Data Science Product Management: $142,800 – $201,300
Responsibilities
- Develop and drive product vision, roadmap, and prioritization for a portfolio of data science enablement capabilities.
- Develop business value estimates and success measures to inform prioritization and evaluate outcomes.
- Represent the voice of the customer and incorporate stakeholder feedback into product decisions.
- Partner with Data Scientists, Data Engineers, Software Engineers, and Architects to support the development, deployment, monitoring, and adoption of machine learning and AI solutions.
- Explore and evaluate technical solutions that improve model development, deployment, operational efficiency, and user experience.
- Drive the development and adoption of reusable patterns and platform capabilities that enable teams to more effectively deliver data science solutions.
- Partner with cross-functional teams to identify and prioritize technical debt reduction, DevOps, and MLOps improvements.
- Serve as Product Owner for assigned capabilities, developing, maintaining, and prioritizing product backlogs aligned to roadmap objectives and customer needs.
- Partner with delivery teams to support effective planning, execution, and delivery using Agile practices.
- Lead discussions, planning sessions, and stakeholder engagements for complex initiatives.
- Communicate product plans, priorities, recommendations, and outcomes to stakeholders and leadership.
Qualifications
- Asst Director, Data Science Product Management- Bachelor`s degree in quantitative field with 5 to 7 years of related experience within insurance, actuarial, data science or technology product management. Master`s degree preferred. ACAS helpful.
- Dir I, Data Science Product Management- Bachelor`s degree in quantitative field with 7+ years, typically 10 or more years, of related experience within insurance, actuarial, data science or technology product management preferred. FCAS / ACAS preferred
- Master`s degree preferred
- Strong understanding of data science concepts, machine learning workflows, experimentation practices, and model lifecycle management.
- Demonstrated understanding of the end-to-end data science lifecycle, including model development, deployment, monitoring, and business value realization.
- Experience working directly with Data Scientists and partnering with Engineering and Architecture teams to deliver technical capabilities and business outcomes.
- Familiarity with model deployment, monitoring, experimentation, DevOps, and MLOps practices.
- Familiarity with modern data, analytics, and AI technologies (AWS, Azure, Databricks, etc.).
- Experience supporting enterprise AI/ML platforms, data science enablement capabilities, or model operationalization efforts.
- Demonstrated ability to evaluate technical solutions and translate complex data science, AI, and engineering concepts into actionable product decisions and business outcomes.
- Experience working effectively in large, complex, and highly matrixed organizations.
- Strong communication, stakeholder management, influence, and organizational leadership skills.
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran’s status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
Delivery Solutions Architect - Communications, Media, Entertainment & Games
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