Senior Manager

AstraZeneca is a global, innovation-driven biopharmaceutical business with a primary focus on the discovery, development, and commercialization of prescription medicines. Our purpose as a company is to push the boundaries of science to deliver life-changing medicines and greater efficiency & innovation in healthcare. As science moves forward, technology needs to keep pace. To support this, AstraZeneca continues to grow its world-class IT organization.The

Platform Engineer – Analytics Platforms

is part of the Data, Analytics, and AI (DAAI) team within the Solution and Service Delivery (SSD) arm of Commercial IT. With a global remit, this team is responsible for the delivery of capabilities that leverage data to drive successful business outcomes. Priorities are centered around the SSD demand portfolio, which is aligned to Global Capability roadmaps.The

Platform Engineer – Analytics Platforms

is responsible for leading the design, development, testing, and deployment of capabilities within the cloud-based platforms aligned to DAAI, primarily within AWS. This role is supported by the Platform Engineering Capability Lead and works collaboratively with Platform Engineering colleagues across hub locations and Global Innovation and Technology Center (GITC) sites. This role functions as an individual contributor, but works extensively with others within teams distributed across organizational boundaries and geographic locations.AccountabilitiesLead design, development, testing, and deployment activities for cloud-based Analytics Platforms within the DAAI portfolio.Maintain deep working knowledge of Analytics Platforms in order to continuously improve performance, efficiency, and capabilities, and maintain currency.Collaborate with Global Capability and Product Engineering colleagues to drive the platform backlog.Ensure Platform Engineering solutions align to both Enterprise and Solution Architecture standards and strategy, including those that relate to security, monitoring, governance, and compliance.Work closely with Product Engineering teams in order to promote effective usage of Analytics Platform capabilities and features.Evaluate new technology products and services, and provide recommendations with regards to fit and prioritization within platform roadmaps.Lead, mentor, and coach offshore Platform Engineering teams, in order to drive quality and ensure successful outcomes.Maintain partnerships with contract service providers and provide technical oversight of their delivery teams, ensuring adherence to AZ IT and Commercial IT standards.Partner with Platform Success colleagues to identify, prioritize, and act upon continuous improvement opportunities.Partner with Platform Delivery colleagues to ensure feature releases align to business and functional requirements and adhere to project schedules.Provide input into business cases, Request for Proposal (RFP) processes, supplier selection, and evaluation of proposals.Serve as an internal consultant for IT and business partners across regions and business areas (Commercial, Medical).Maintain expert understanding of and adherence to software engineering processes within AstraZeneca.Typical People Management Responsibility (direct / indirect reports)0Approximate number of people managed in total (all levels)Matrix Manager – (projects/dotted line)Manager of a teamGrandfather (manager of a manager)What is the global remit?(how many countries will the role operate in?)Operates in:Own countryAnother country2 or 3 countries at a minimum of 40% of time4 or more countries at a minimum of 40% of timeRemit which covers all AstraZeneca countriesQualifications, Skills, and ExperienceEssentialDesirableBachelor’s in Computer Science, Information Systems, or related field.7+ years of experience in a platform engineering or administration role.3+ years of experience developing analytics platform capabilities.Extensive platform-level experience with Databricks.Proven experience developing solutions using serverless principles and/or infrastructure as code (IaC).Understanding of data lake/lakehouse and medallion architecture concepts.Understanding of platforms and tools utilized within MLOps workflows ( MLflow, SageMaker).Expertise in Continuous Integration and Delivery (CI/CD) methods and tools ( Bamboo, Bitbucket, Github).Understanding of cloud security principles implemented via identity and access controls.Experience working within an Agile/Scrum development methodology.Proven experience working with complex integrated systems, using creative and strategic thinking to deliver exceptional results.Experience working in a global organization with a complex geographical structure.Proven experience developing and managing relationships with 3rd party suppliers.Strong interpersonal skills.Strong written and verbal communication skills.Experience working within a DevOps delivery model.Experience working in the pharmaceutical, biotech, or healthcare industry.Experience working within a commercial domain.Experience building and optimizing data pipelines.Experience with languages/libraries applicable within data/analytics contexts ( Python, PySpark, SQL).Understanding of a broad range of AWS Services ( IAM, EMR, Glue, S3, Lambda, Athena, MWAA, EC2, RDS).Experience with cloud-based data/analytics platforms ( Redshift, Snowflake).Experience with DevOps tools ( Terraform, Docker, Kubernetes).Working knowledge of ML frameworks, libraries, and technologies ( Tensorflow, PyTorch).Ability to interpret and communicate technical information into business language.Key RelationshipsInternal (to AZ or team)External (to AZ)Data & AI Global CapabilityArchitecture (Enterprise, Solution)Cloud Solutions EngineeringPlatform EngineeringProduct EngineeringPlatform SuccessPlatform DeliveryPlatform/software vendorsContract service providersDate Posted23-May-2024

Closing Date07-Jun-2024

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