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Each day brings a mix of routine and challenge. You’ll start by reviewing system health and platform metrics, ensuring everything is running smoothly. From there, you’ll collaborate with teammates to prioritize work—whether it’s deploying infrastructure, refining automation, or addressing a new technical challenge. Some days you’ll be deep in Terraform modules or Kubernetes tuning; other days you’ll be troubleshooting unexpected issues or helping a colleague solve a complex problem. You’ll have space for focused work, but also plenty of opportunities to engage with others, share ideas, and contribute to solutions that drive real value. The environment is fast-paced but supportive, and your contributions will directly impact the reliability, scalability, and security of the platform.Key Responsibilities<ul><li>Ensure&nbsp;high&nbsp;availability&nbsp;and&nbsp;performance&nbsp;of&nbsp;cloud&nbsp;infrastructure&nbsp;and&nbsp;services&nbsp;(AWS,&nbsp;Azure)</li><li>Build&nbsp;and&nbsp;maintain&nbsp;monitoring,&nbsp;alerting,&nbsp;and&nbsp;observability&nbsp;systems&nbsp;(e.g.,&nbsp;Prometheus,&nbsp;Grafana,&nbsp;ELK)</li><li>Automate&nbsp;operational&nbsp;tasks&nbsp;using&nbsp;Terraform,&nbsp;Ansible,&nbsp;and&nbsp;scripting&nbsp;languages</li><li>Manage&nbsp;incident&nbsp;response,&nbsp;root&nbsp;cause&nbsp;analysis,&nbsp;and&nbsp;postmortems</li><li>Collaborate&nbsp;on&nbsp;CI/CD&nbsp;pipelines&nbsp;and&nbsp;deployment&nbsp;strategies&nbsp;using&nbsp;GitHub&nbsp;Actions</li><li>Maintain&nbsp;and&nbsp;improve&nbsp;container&nbsp;orchestration&nbsp;platforms&nbsp;(Kubernetes,&nbsp;Docker)</li><li>Administer&nbsp;systems,&nbsp;databases,&nbsp;and&nbsp;networks&nbsp;with&nbsp;a&nbsp;focus&nbsp;on&nbsp;reliability&nbsp;and&nbsp;security</li><li>Implement&nbsp;and&nbsp;enforce&nbsp;security&nbsp;and&nbsp;compliance&nbsp;best&nbsp;practices</li><li>Continuously&nbsp;evaluate&nbsp;and&nbsp;integrate&nbsp;tools&nbsp;to&nbsp;improve&nbsp;operational&nbsp;efficiency</li><li>Lead and grow a high-performing team of reliability and operations engineers</li></ul>BASIC QUALIFICATIONS&nbsp;&nbsp;<ul><li>Education: Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline)</li><li>6+&nbsp;years&nbsp;of&nbsp;experience&nbsp;in&nbsp;site&nbsp;reliability,&nbsp;operations,&nbsp;or&nbsp;infrastructure&nbsp;engineering</li><li>Strong&nbsp;experience&nbsp;with&nbsp;AWS&nbsp;or&nbsp;Azure</li><li>Proficiency&nbsp;in&nbsp;Terraform,&nbsp;Ansible,&nbsp;and&nbsp;GitHub</li><li>Solid&nbsp;understanding&nbsp;of&nbsp;Kubernetes,&nbsp;Docker,&nbsp;and&nbsp;container&nbsp;orchestration</li><li>Strong&nbsp;scripting&nbsp;skills&nbsp;(e.g.,&nbsp;Bash,&nbsp;Python, Typescript)</li><li>Experience&nbsp;with&nbsp;Linux/Unix&nbsp;system&nbsp;administration</li><li>Familiarity&nbsp;with&nbsp;networking,&nbsp;security,&nbsp;and&nbsp;database&nbsp;administration</li><li>Proven&nbsp;troubleshooting&nbsp;and&nbsp;incident&nbsp;management&nbsp;skills</li><li>Fluent in English; capable of clear technical communication across scientific and engineering disciplines</li><li>Candidate 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.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience&nbsp;with&nbsp;observability&nbsp;and&nbsp;logging&nbsp;tools&nbsp;(e.g.,&nbsp;OpenTelemetry, Prometheus,&nbsp;Grafana,&nbsp;ELK)</li><li>Knowledge&nbsp;of&nbsp;secrets&nbsp;management&nbsp;(e.g.,&nbsp;HashiCorp&nbsp;Vault,&nbsp;AWS&nbsp;Secrets&nbsp;Manager)</li><li>Experience&nbsp;working&nbsp;in&nbsp;regulated&nbsp;environments&nbsp;or&nbsp;with&nbsp;compliance&nbsp;frameworks&nbsp;(e.g.,&nbsp;GxP, SOC2,&nbsp;HIPAA)</li></ul>

Sr. Manager - Site Reliability/Operations Engineering Lead, R&D DP&TS Platform and Data Engineering

Each day brings a mix of routine and challenge. You’ll start by reviewing system health and platform metrics, ensuring everything is running smoothly. From there, you’ll collaborate with teammates to prioritize work—whether it’s deploying infrastructure, refining automation, or addressing a new technical challenge. Some days you’ll be deep in Terraform modules or Kubernetes tuning; other days you’ll be troubleshooting unexpected issues or helping a colleague solve a complex problem. You’ll have space for focused work, but also plenty of opportunities to engage with others, share ideas, and contribute to solutions that drive real value. The environment is fast-paced but supportive, and your contributions will directly impact the reliability, scalability, and security of the platform.ROLE RESPONSIBILITIES<ul><li>Design, build, and maintain AWS and Azure cloud infrastructure using Terraform, Ansible, and Kubernetes.</li><li>Develop and manage CI/CD pipelines using tools like GitHub Actions. Implement and enforce security best practices across infrastructure and applications.</li><li>Automate operational tasks and improve system reliability through scripting and tooling.</li><li>Collaborate with developers, data scientists, researchers, digital peers, and other stakeholders to understand platform needs and deliver solutions.</li><li>Manage containerized workloads using Docker and Kubernetes.</li><li>Administer&nbsp;systems,&nbsp;databases,&nbsp;and&nbsp;networks&nbsp;with&nbsp;a&nbsp;focus&nbsp;on&nbsp;scalability&nbsp;and&nbsp;resilience</li><li>Participate&nbsp;in&nbsp;incident&nbsp;response&nbsp;and&nbsp;root&nbsp;cause&nbsp;analysis</li><li>Continuously&nbsp;evaluate&nbsp;and&nbsp;integrate&nbsp;new&nbsp;technologies&nbsp;to&nbsp;improve&nbsp;platform&nbsp;capabilities</li><li>Lead and grow a high-performing team of software and infrastructure engineers</li></ul>BASIC QUALIFICATIONS&nbsp;&nbsp;<ul><li>Education: Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, Bioinformatics, Engineering, or related discipline)</li><li>6+&nbsp;years&nbsp;of&nbsp;experience&nbsp;in&nbsp;platform&nbsp;engineering,&nbsp;DevOps,&nbsp;or&nbsp;infrastructure&nbsp;roles</li><li>Strong&nbsp;hands-on&nbsp;experience&nbsp;with&nbsp;AWS&nbsp;or&nbsp;Azure</li><li>Proficiency&nbsp;in&nbsp;Terraform,&nbsp;Ansible,&nbsp;and&nbsp;GitHub</li><li>Solid&nbsp;understanding&nbsp;of&nbsp;Kubernetes,&nbsp;Docker,&nbsp;and&nbsp;container&nbsp;orchestration</li><li>Strong software development skills</li><li>Strong&nbsp;scripting&nbsp;skills&nbsp;(e.g.,&nbsp;Bash,&nbsp;Python, Typescript)</li><li>Experience&nbsp;with&nbsp;Linux/Unix&nbsp;system&nbsp;administration</li><li>Familiarity&nbsp;with&nbsp;networking,&nbsp;security,&nbsp;and&nbsp;database&nbsp;administration</li><li>Strong understanding of infrastructure security best practices, including IAM, secrets management, and secure configuration</li><li>Proven&nbsp;ability&nbsp;to&nbsp;troubleshoot&nbsp;complex&nbsp;systems&nbsp;and&nbsp;resolve&nbsp;issues&nbsp;independently</li><li>Fluent in English; capable of clear technical communication across scientific and engineering disciplines</li><li>Candidate 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.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience&nbsp;with&nbsp;observability&nbsp;tools&nbsp;(e.g.,&nbsp;OpenTelemetry, Prometheus,&nbsp;Grafana,&nbsp;ELK)</li><li>Knowledge&nbsp;of&nbsp;secrets&nbsp;management&nbsp;(e.g.,&nbsp;HashiCorp&nbsp;Vault,&nbsp;AWS&nbsp;Secrets&nbsp;Manager)</li><li>Experience implementing encryption at rest and in transit using cloud-native tools (e.g., AWS KMS, Azure Key Vault, TLS)</li><li>Experience&nbsp;working&nbsp;in&nbsp;regulated&nbsp;environments&nbsp;or&nbsp;with&nbsp;compliance&nbsp;frameworks&nbsp;(e.g.,&nbsp;GxP, SOC2,&nbsp;HIPAA)</li><li>Experience with and strong understanding of the software development lifecycle</li></ul>&nbsp;&nbsp;NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTSTravel up to 10% may be required for business activities.

Sr. Manager - Platform Engineering Lead, R&D DP&TS Platform and Data Engineering

We seek a DevOps Engineer who will support a portfolio of AI platforms and services. You will work alongside senior engineers to implement DevOps best practices, maintain CI/CD pipelines, and help ensure the security, reliability, and scalability of our AI infrastructure. This is an excellent opportunity to grow your career in DevOps while working with cutting-edge AI technologies.&nbsp;&nbsp;ROLE RESPONSIBILITIES&nbsp;&nbsp;The DevOps engineer colleague’s responsibilities include but are not limited to:&nbsp;Infrastructure &amp; Cloud Operations:&nbsp;<ul><li>Support AWS cloud infrastructure using Infrastructure as Code (CloudFormation)&nbsp;</li><li>Work with AWS services including ECS Fargate, Lambda, Step Functions, S3, DynamoDB, and ECR&nbsp;</li><li>Assist in managing multi-environment deployments (dev, test, prod, sandbox)&nbsp;</li><li>Help maintain and monitor cloud resources for performance and cost optimization&nbsp;</li><li>Participate in infrastructure lifecycle activities including patches and upgrades&nbsp;</li></ul>CI/CD &amp; Automation:&nbsp;<ul><li>Maintain and enhance CI/CD pipelines using GitHub Actions&nbsp;</li><li>Support deployment processes for microservices across multiple environments&nbsp;</li><li>Develop automation scripts (Python/Bash) for operational tasks&nbsp;</li><li>Manage Docker container builds and deployments&nbsp;</li><li>Contribute to GitOps practices and infrastructure as code initiatives&nbsp;</li></ul>Security &amp; Compliance:&nbsp;<ul><li>Implement security scanning in CI/CD pipelines (SonarQube, Snyk)&nbsp;</li><li>Help manage secrets and credentials using AWS Secrets Manager&nbsp;</li><li>Support compliance with enterprise security policies and tagging standards&nbsp;</li><li>Respond to security vulnerabilities and incidents under guidance&nbsp;</li><li>Participate in security reviews of infrastructure&nbsp;</li></ul>Monitoring &amp; Operations:&nbsp;<ul><li>Set up and maintain monitoring and alerting using Grafana, Dynatrace, and CloudWatch&nbsp;</li><li>Participate in incident response and troubleshooting&nbsp;</li><li>Document operational procedures and runbooks&nbsp;</li><li>Support on-call rotation for production systems&nbsp;</li><li>Help drive continuous improvement initiatives&nbsp;</li></ul>Collaboration:&nbsp;<ul><li>Work with development teams to understand deployment requirements&nbsp;</li><li>Document infrastructure changes and technical procedures&nbsp;</li><li>Participate in technical design discussions&nbsp;</li><li>Share knowledge and learn from senior team members&nbsp;</li></ul>&nbsp;BASIC QUALIFICATIONS&nbsp;&nbsp;<ul><li>Bachelor's degree in Computer Science, Engineering, or related field required&nbsp;</li><li>3-5 years of experience working with cloud platforms, preferably AWS&nbsp;</li><li>Experience with CI/CD pipelines and deployment automation&nbsp;</li><li>Hands-on experience with Docker and containerization&nbsp;</li><li>Familiarity with AWS services such as:&nbsp;</li><li>Compute: ECS, Lambda, or EC2&nbsp;</li><li>Storage: S3, DynamoDB&nbsp;</li><li>Container: ECR&nbsp;</li><li>Security: IAM, Secrets Manager&nbsp;</li><li>Experience with Infrastructure as Code (CloudFormation or Terraform)&nbsp;</li><li>Working knowledge of Git version control&nbsp;</li><li>Scripting &amp; Programming: Python or Bash scripting experience&nbsp;</li><li>CI/CD Tools: GitHub Actions, Jenkins, or similar&nbsp;</li><li>Monitoring Tools: Experience with CloudWatch, Grafana, Dynatrace, or similar&nbsp;</li><li>Security: Familiarity with security scanning tools&nbsp;</li><li>Operating Systems: Linux/Unix administration skills</li><li>Strong problem-solving and troubleshooting abilities&nbsp;</li><li>Good communication and collaboration skills&nbsp;</li><li>Eagerness to learn new technologies and best practices&nbsp;</li><li>Ability to work both independently and as part of a team&nbsp;</li><li>Attention to detail and commitment to quality&nbsp;</li><li>Self-motivated with good time management&nbsp;</li></ul>

Manager, DevOps Engineer

We are seeking a Senior Manager, DevOps Engineer who will be responsible for supporting a portfolio of AI/ML platforms and services. You will play a critical role in defining and implementing DevOps best practices, building robust CI/CD pipelines, and ensuring the security, reliability, and scalability of our AI infrastructure. Your expertise will help us accelerate the delivery of AI-powered solutions while maintaining the highest standards of operational excellence.&nbsp;&nbsp;ROLE RESPONSIBILITIES&nbsp;&nbsp;The Senior DevOps Engineer's responsibilities include but are not limited to:&nbsp;Infrastructure &amp; Cloud Operations:<ul><li>Design, deploy, and manage AWS cloud infrastructure for AI/ML applications using Infrastructure as Code&nbsp;</li><li>Architect and maintain highly available, fault-tolerant systems using AWS services (ECS Fargate, Lambda, Step Functions, S3, DynamoDB, ECR, etc.)&nbsp;</li><li>Implement auto-scaling strategies and optimize resource utilization for cost efficiency&nbsp;</li><li>Lead lifecycle management activities including upgrades, patches, capacity planning, and infrastructure retirement&nbsp;</li><li>Manage multi-environment deployments (dev, prod) with appropriate isolation and controls&nbsp;</li></ul>CI/CD &amp; Automation:&nbsp;<ul><li>Build and maintain sophisticated CI/CD pipelines using GitHub Actions for containerized microservices&nbsp;</li><li>Automate deployment processes for 50+ microservices across multiple environments&nbsp;</li><li>Implement GitOps practices and promote infrastructure/configuration as code&nbsp;</li><li>Develop automation scripts for operational tasks and deployment workflows&nbsp;</li><li>Manage Docker container builds and ECR repository lifecycle&nbsp;</li></ul>&nbsp;Security &amp; Compliance:&nbsp;<ul><li>Integrate security practices throughout the CI/CD pipeline (shift-left security)&nbsp;</li><li>Implement automated security scanning&nbsp;</li><li>Manage secrets and credentials using AWS Secrets Manager and secure CI/CD practices&nbsp;</li><li>Ensure compliance with enterprise security policies, tagging standards, and industry regulations&nbsp;</li><li>Monitor and respond to security incidents and vulnerabilities in a timely manner&nbsp;</li><li>Conduct security reviews of infrastructure and application architectures&nbsp;</li></ul>Monitoring &amp; Reliability:&nbsp;<ul><li>Implement comprehensive monitoring, logging, and alerting using Grafana, Dynatrace, and CloudWatch&nbsp;</li><li>Establish SLIs, SLOs for critical services&nbsp;</li><li>Participate in incident response, troubleshooting, and post-mortem analysis to identify root causes&nbsp;</li><li>Drive continuous improvement through metrics-driven insights and capacity planning&nbsp;</li><li>Optimize system performance through profiling, benchmarking, and tuning&nbsp;</li></ul>Collaboration &amp; Leadership:&nbsp;<ul><li>Work closely with AI/ML development teams to understand requirements and optimize deployment strategies&nbsp;</li><li>Provide technical guidance and mentorship on DevOps/MLOps best practices&nbsp;</li><li>Document infrastructure, runbooks, standard operating procedures, and architectural decisions&nbsp;</li><li>Contribute to technical design reviews and architectural decision-making&nbsp;</li><li>Foster a culture of automation, reliability, and continuous improvement&nbsp;</li></ul>&nbsp;BASIC QUALIFICATIONS ​&nbsp;<ul><li>BSc degree in Computer Science or Engineering is required. MSc is preferred.&nbsp;</li><li>7+ years of hands-on experience deploying and managing enterprise software solutions in AWS or other cloud environments&nbsp;</li><li>Proven experience building and maintaining production-grade CI/CD pipelines (GitHub Actions, Jenkins, or similar)&nbsp;</li><li>Extensive AWS expertise with services including:&nbsp;</li><li>Compute: ECS Fargate, Lambda, EC2, EKS&nbsp;</li><li>Storage: S3, DynamoDB&nbsp;</li><li>Container: ECR&nbsp;</li><li>Security: IAM, Secrets Manager, KMS&nbsp;</li><li>Deep expertise with Infrastructure as Code using CloudFormation and/or Terraform&nbsp;</li><li>Production experience with Docker containerization and orchestration&nbsp;</li><li>Strong proficiency with Git version control and branching strategies&nbsp;</li><li>Scripting &amp; Programming: Python (required), Bash, strong understanding of software development lifecycle&nbsp;</li><li>Monitoring &amp; Observability: Hands-on experience with Grafana, Dynatrace, CloudWatch, or similar tools&nbsp;</li><li>Security Tools: Experience with SonarQube, Snyk, or similar security scanning tools&nbsp;</li><li>Configuration Management: Experience with automated configuration management approaches&nbsp;</li><li>Performance Optimization: Proven ability in performance testing, profiling, and optimization&nbsp;</li><li>Demonstrated ability to own complex systems end-to-end and manage production deployments&nbsp;</li><li>Strong analytical and troubleshooting skills with systematic problem-solving approach&nbsp;</li></ul>&nbsp;GENERAL SKILLS REQUIREMENTS&nbsp;<ul><li> Excellent communication skills - able to explain technical concepts to diverse audiences&nbsp;</li><li>Experience contributing to technical specifications and design documentation&nbsp;</li><li>Collaborative mindset with ability to work effectively across distributed teams&nbsp;</li><li>Self-motivated with strong bias for action and results&nbsp;</li><li>Commitment to quality, security, and operational excellence&nbsp;</li></ul>

Senior Manager, DevOps Engineer

Reporting to the Sr Manager Data Management Lead of Enterprise Data and Solution Engineering, the&nbsp;UDH Data Quality Lead&nbsp;will&nbsp;build first in class data quality and management practice. Build capabilities that enact trust in data and products, that are critical for building advanced analytic solutions, self-service models and semantic data layer.<ul><li>Directs cross-functional team for Data Quality services in emerging tools.</li><li>Directs the portfolio of technology and implementation plans to modernize the service on cloud, leverage automation, reuse, and continuous improvement to expand into new domains.</li><li>Provides oversight and direction to a cross functional team to the onboarding of new data set and PGS systems on the roadmap.</li><li>Designs and implements quality assurance programs across data repositories.</li><li>Create and manage semantic layer to ensure data quality assessment data is available to Adv. Analytics and in advance visualizations for downstream.</li><li>Lead data standardization efforts where possible setup SLA’s and responsible for key metrics that measure data quality.</li><li>Maintain relationships with all data users, actively driving engagement, adoption and usage – and providing processes, training and support to ensure data quality standards are maintained.</li><li>Oversee data procedures for any errors or defects.</li><li>Enforces all the measures to ensure an asset-oriented view, control and quality assurance of data in a company.</li><li>Analyze data patterns and utilization with a constant eye toward continuous improvement.</li><li>Lead data standardization efforts where possible.</li><li>Establish a strong collaborative culture with peers and other functions across Pfizer Digital.</li><li>Promote a culture of success, pride, performance, discipline, innovation and creativity.</li><li>Build automation and AI driven process to continuously innovate and improve quality.</li><li>Liaison with senior leaders and stakeholders within Pfizer to data and quality standards to meet or exceed business requirements.</li><li>Creates business quality standards.</li><li>Accountable for the development and ongoing leadership of data stewardship protocols to meet requirement of strategic initiatives.</li><li>Analytical and critical thinking. Does not shy away from tough decisions and can articulate complex situations so that decisions can be made.</li><li>Consultative skills. Is able to define and structure vaguely defined problems, and influence stakeholders via effective communication.</li></ul>Basic Qualifications<ul><li>Must have a bachelor’s degree with at five years of relevant experience. </li><li>OR master’s degree with three years of relevant experience. &nbsp;</li><li>OR associate degree with eight years of relevant experience. </li><li>OR Ph.D. with 0+ years of experience. </li><li>Preference for advanced degree holders with a focus in strategy Analytics, Data science, Computer Science, Engineering or equivalent project-related experience</li><li>5+ years of strong multi-discipline experience, with experience in data quality concepts and technologies</li><li>Proficiency in Python, SQL, and familiarity with Java or Scala.</li><li>Strong expertise in developing data pipelines, data APIs and DQ rules</li><li>Over 2 years of experience in AI, machine learning, and large language models (LLMs) development and deployment.</li><li>Knowledge and understanding of data quality tools.</li><li>Demonstrated ability to interact with all levels of the organization in a professional manner.</li><li>Proven skills in working across diverse, cross-functional teams in solving data problems.</li><li>Strong collaboration and communication skills within and across teams.</li><li>Knowledge of analytic tools and platforms, e.g. Tableau, snowflake, Spark, SQL</li><li>Knowledge of Big Data, data science and statistical analysis skills, e.g. R, Python, machine learning, SAS</li><li>Knowledge of relational databases, information architecture, data warehousing and ETL</li><li>Proactively monitors the execution of the digital data governance processes including data quality and publishes the results.</li></ul>Nice-to-Have<ul><li>Master's degree</li><li>Relevant pharmaceutical industry experience</li><li>Experience with Agile Software Delivery and/or Scrum Master Certification</li><li>Knowledge of the pharmaceutical industry, preferably Commercial or sales and marketing</li></ul>&nbsp;

Manager Data Quality Lead

In this role, you will act as the technical engineering lead for data solutions that function as standalone products or reusable platform templates for teams across the enterprise. You will need to balance leading cross-functional teams with hands-on development on the platform and managing stakeholder expectations. You will also be accountable for a team of around 5 colleagues.You may have a software development background, or an engineering background or you were raised in a modern data analytics culture from the start of your career. You will have the ability to work with technology vendors, support resources, delivery partners, Pfizer stakeholders, and apply emerging and traditional technologies for analytics improvements in support of enterprise analytics platform strategy.ROLE RESPONSIBILITIES&nbsp;<ul><li>Design, construct, install, test, and maintain robust and scalable Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) data pipelines to pull data from diverse internal and third-party sources.</li><li>Build and manage enterprise data warehouses and data lakes, ensuring optimal performance and data integrity.</li><li>Implement data platforms utilizing cloud services optimizing data delivery architecture to be highly available and fault-tolerant.</li><li>Develop processes for data monitoring and implement data quality checks to ensure the accuracy, completeness, and reliability of core datasets.</li><li>Optimize existing data systems for improved performance and efficiency, implementing automation where possible.</li><li>Partner with data analysts, data scientists, and software engineers to understand and address data needs, ensuring the infrastructure supports analytical goals.</li><li>Create and maintain documentation for all data pipelines, processes, and infrastructure, adhering to best practices in data engineering.</li><li>Drive strategic reuse and user enablement by:</li><li>Developing and maintaining reusable assets for consistency and scalability.</li><li>Defining standards and best practices in partnership with platform owners.</li><li>Assessing and adopting emerging enterprise platform capabilities.</li><li>Delivering end-to-end data solutions to integrate advanced features into business workflows.</li><li>Creating platform specific proof-of-concepts that demonstrate feasibility and readiness for enterprise utilization.&nbsp;</li><li>Ensuring cross-functional alignment for cohesive data and AI adoption across the organization.</li></ul>&nbsp;BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor's degree in Computer Science, Statistics, or related field.</li><li>At least 10 years of professional experience.</li><li>At least 5 years engineering or technical role experience, ideally involving a complex and rapidly evolving software/product.</li><li>Proven track record of executive level presentations and ability to effectively communicate to multiple audiences and partners.</li><li>Strong leadership skills with experience mentoring and managing development teams.</li><li>Grit when faced with technical issues&nbsp;- you don't rest until you understand what is happening and why things are not working.</li><li>Excellent problem solving and analytical skills with an aptitude for learning new technologies.</li><li>Excellent verbal and written communication skills.</li><li>and the ability to interface with both technical and non-technical individuals as needed.</li><li>Comfort working with and reading code.</li><li>Proven experience as a Data Engineer or similar role with a strongtrack record of delivering production-level data solutions.</li><li>Expertise in Python and proficiency in SQL. Experience with Java or Scala is a plus.</li><li>Strong experience with data warehouse and lake solutions (Snowflake, Redshift, BigQuery, Databricks) and orchestration tools (Apache Airflow, Prefect).</li><li>Big Data Frameworks:&nbsp;Familiarity with big data processing frameworks like Apache Spark or Kafka.</li><li>Solid understanding of data modeling principles, database design, and data governance concepts.</li><li>Hands-on experience and proficiency with DevOps and information tools – e.g., JIRA, Confluence, SharePoint, Yammer, etc.</li></ul>PREFERRED QUALIFICATIONS<ul><li>Experience with cloud platforms such as AWS, Azure, and GCP.</li><li>Experience with data visualization, data science, machine learning, and/or AI</li><li>Experience with web development&nbsp;</li><li>Agile / SAFE Certification</li></ul>

Director - TL, Data Engineering

As a Sr. Associate,&nbsp;Software&nbsp;Engineer,&nbsp;you will work with senior members of the team to design, implement, and&nbsp;maintain&nbsp;automated systems for infrastructure provisioning, configuration management, and deployment. You will be working&nbsp;to design and build REST APIS, build and support&nbsp;open-source&nbsp;platforms,&nbsp;and&nbsp;maintain&nbsp;build and deploy pipelines that ensure our services&nbsp;remain&nbsp;available and scalable.&nbsp;Ideal candidate has an experience working as a&nbsp;software&nbsp;engineer in a global team structure.&nbsp; This role requires strong collaboration skills, the ability to work independently with a focus on high quality and&nbsp;a strong sense&nbsp;of accountability. The role also requires&nbsp;a strong desire&nbsp;for continuous learning to stay current with the rapidly evolving global technology landscape and significant attention to detail and quality.&nbsp; ROLE RESPONSIBILITIES&nbsp;<ul><li>Design and build REST APIs services in Java to automate manual processes across the organization.&nbsp;</li><li>Collaborate with cross-functional teams to gather&nbsp;technical&nbsp;requirements.&nbsp;</li><li>Work with engineering lead and business owner to&nbsp;optimize&nbsp;and improve&nbsp;how the team delivers automations in the most efficient way possible.&nbsp;</li><li>Work with security team to ensure&nbsp;compliance with security and regulatory requirements in all infrastructure and tooling configurations.&nbsp;</li><li>Collaborate with development teams to&nbsp;identify&nbsp;and implement best practices for continuous integration and deployment.&nbsp;</li><li>Create and&nbsp;maintain&nbsp;documentation related to&nbsp;services,&nbsp;infrastructure, tooling, and configuration processes.&nbsp;</li><li>Stay up to date with the latest industry trends and best practices related to configuration management&nbsp;tools&nbsp;and infrastructure automation.&nbsp;</li></ul>BASIC QUALIFICATIONS&nbsp;<ul><li>Bachelor’s degree in computer science, Engineering, or a related field (or equivalent experience).&nbsp;</li><li>A minimum of 2&nbsp;years of experience working&nbsp;as a&nbsp;software engineering.&nbsp;</li><li>Proven experience working with Java.&nbsp;</li><li>Experience with version control systems (e.g., Git) and CI/CD pipelines.&nbsp;</li><li>Strong problem-solving skills, with the ability to troubleshoot and resolve issues efficiently.&nbsp;</li><li>Excellent communication and collaboration skills,&nbsp;work well as part of a team.&nbsp;</li></ul>PREFERRED QUALIFICATIONS&nbsp;<ul><li>Experience with SpringBoot and/or Quarkus.</li><li>Basic understanding of cloud platforms (e.g., AWS, Azure).&nbsp;</li><li>Experience&nbsp;with containerization technologies (e.g., Docker, Kubernetes) and their integration with infrastructure automation tools.&nbsp;</li><li>Experience&nbsp;with tools such as Terraform and Ansible, is a huge plus.&nbsp;</li><li>Certification in relevant technologies (e.g., AWS&nbsp;Cloud Practitioner, Terraform Certified Associate).&nbsp;&nbsp;</li></ul>

Sr. Associate, Software Engineer

JOB SUMMARY<ul><li>This internship role is a hands-on statistical data scientist supporting study and asset teams with statistical data sciences and analytics deliverables.</li><li>Ensures excellence in the delivery of analysis ready datasets, analysis results and displays and qc work for which they are responsible.</li><li>Ensures adherence to high quality statistical data sciences principles, processes and techniques in their daily work.</li></ul>JOB RESPONSIBILITIES<ul><li>Will be learning in the space of statistical data sciences and data standards.</li><li>Accountable for their assigned work supporting the statistical data sciences leads for a particular study or asset deliverable.</li><li>Ensures appropriate documentation and QC documentation for their deliverables.</li><li>May provide supportive QC work for other statistical data scientists deliverables.</li><li>Works with statistical data sciences leads to ensure clear specifications for their deliverables are in place.</li></ul>QUALIFICATIONS / SKILLS<ul><li>Bachelor or Master (preferred) Degree in Statistics, Data Sciences, Biological Sciences, IT, or related field.</li><li>Some experience in SAS, R, or Python programming and knowledge of clinical trials would be considered as an asset.</li><li>Strong written and oral communication skills, and time management skills.</li><li>Proven ability to manage timelines.</li><li>Fluent in English.</li></ul>

Assistant, Statistical Data Scientist (Intern - 6 months fixed term)

As part of the Clinical Data &amp; Information Sciences (CDIS) group, an integral delivery unit within the Clinical Development &amp; Operations (CD&amp;O) organization, the Senior Data Manager is responsible for timely and high quality data review and query management of clinical data supporting the Pfizer portfolio.&nbsp;The SeniorData Manager develops and maintains key data management deliverables used to collect, review, monitor, and ensure the integrity of clinical data.ROLE RESPONSIBILITIES&nbsp;&nbsp;<ul><li>Serve as Lead Data Manager for one or more clinical trials assuming responsibility for CDS activities including selection and application of data acquisition standards, database design (including specification documentation and testing of clinical data collection tools, both CRF and non-CRF, using an EDC system and/or other data collection systems), development and maintenance of the Data Management Plan, data review and query management, data access and visualization, Data Management metrics reporting, database release, and submission related activities.&nbsp;</li></ul><ul><li>Independently lead the daily DM activities and allocate study DM resource in the appropriate way.&nbsp;</li></ul><ul><li>Coach junior Data Managers in the study and perform peer review of study DM's deliverables for quality control.&nbsp;&nbsp;</li></ul><ul><li>Be responsible to achieve the study DM milestone on time with good quality.&nbsp;</li></ul><ul><li>In collaboration with the Clinical Data Scientist (CDS), ensure operational excellence across all deliverables.&nbsp;</li></ul><ul><li>Ensure work carried out in accordance with applicable SOPs and working practices.&nbsp;</li></ul><ul><li>Ensure the required study-specific CDIS documents in the Trial Master File (TMF) are of high quality and are filed contemporaneously to support downstream inspection and submission readiness activities.&nbsp;&nbsp;</li></ul><ul><li>Ensure operational excellence in collaboration with CDS for application of standards, data acquisition, proactive data review and query management, data cleaning, e-data processing, data access and visualization, DM metrics reporting, database release, and submission related activities.&nbsp;</li></ul><ul><li>Ensure lessons learnt during the course of the study are documented and shared with other study teams to facilitate cross study learning.&nbsp;&nbsp;</li></ul><ul><li>Be capable to contribute on the DM related continuous improvement activities.</li></ul>QUALIFICATIONS&nbsp;&nbsp;<ul><li>Bachelor’s degree minimum requirement. &nbsp;</li><li>Minimum 3 years Data Management experience required.&nbsp;</li><li>Demonstrated knowledge of clinical development process including knowledge and understanding of the principles of GCP.&nbsp;</li><li>Demonstrated knowledge of data management processes and principles in area of responsibility.&nbsp;</li><li>Working knowledge of clinical research, FDA &amp; ICH, GCP, GCDMP, and related regulatory requirements.</li><li>Working knowledge of all phases of clinical trials and ability to assess and determine study requirement from protocol review.&nbsp;</li><li>Familiarity with MedDRA/WHO-Drug.&nbsp;&nbsp;</li><li>Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.).&nbsp;</li><li>Demonstrates strong verbal and written communication skills including ability to communicate remotely.&nbsp;&nbsp;</li><li>Proficient experience using commercial clinical data management systems and/or EDC products (e.g. Inform preferred).&nbsp;&nbsp;</li><li>Experience using data visualization tools (e.g. Spotfire,&nbsp;J-Review) preferred.&nbsp;</li><li>Experience of project management skill in terms of resource management and timeline and quality control preferred.&nbsp;</li></ul>

Senior Data Manager, Clinical Data Management Psychiko

Senior Data Manager, Clinical Data Management Pylaia

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