Senior Delivery Consultant - Data, Professional Services, AWSI, Healthcare and Life Sciences

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Data engineering · Dataanalys

I korthet

The Amazon Web Services Professional Services team is seeking a Delivery Consultant specializing in Data for the Healthcare and Life Sciences practice. You will design and implement modern data platforms, architect data pipelines, and build enterprise RAG architectures to make organizations AI-ready. You will work hands-on in customer environments with complex data, regulatory overlays, and legacy systems.

Ansvarsområden

Design and implement production-grade data pipelines, data lakes, lakehouses, and data mesh architectures within enterprise HCLS environments, integrating with legacy systems and existing data governance frameworks.
Build data products that serve multiple downstream applications and use cases — from AI/ML model training to agentic AI systems, ensuring data quality, lineage, and reliability at scale.
Operate with a high degree of autonomy within fast-moving delivery engagements, making judgment calls on data modeling, pipeline design, and architecture without waiting for perfect specifications or constant oversight.
Navigate complex data access, security, and privacy requirements unique to pharma and healthcare including GxP compliance constraints, HIPAA, and regulatory data governance frameworks.
Architect contextual knowledge layers, including ontologies and knowledge graphs leveraging AWS Context, Amazon Bedrock Knowledge Bases, and custom ontology extensions to equip AI agents with the vocabulary and guardrails to reason accurately and execute autonomously within regulated environments.
Collaborate across organizational boundaries to secure data access, understand source system context, and resolve data quality challenges with teams across customer IT, business, and partner organizations.
Deliver iteratively when requirements are ambiguous, translating incomplete business needs into well-architected data solutions that can evolve as customer understanding matures.
Apply AI-DLC (AI-accelerated Development Life Cycle) methodologies to data delivery to redesign data workflows to become AI-native for accelerated scale and pace.

Krav

Bachelor's degree in business administration, finance, economics, computer science, data science, engineering, or other related field
Experience in advanced SQL & ability to write complex queries from scratch from multiple tables
Knowledge of data engineering pipelines, cloud solutions, ETL management, databases, visualizations and analytical platforms
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

Önskade kvalifikationer

Experience with compliance & security standards including PCI DSS, ISO 27001, HIPAA, and NIST
6+ years of solving problems with technology in the Healthcare/Life Sciences Industry experience
Experience in any Bigdata architecture, or experience in Hive/Spark/Hbase/Yarn and experience in Kafka
Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
AWS certifications in Data Analytics or Machine Learning Specialty preferred
Experience in clinical data standards (OMOP, CDISC, FHIR)
Experience with data governance and cataloging tools (e.g., AWS Glue Data Catalog, Collibra, Alation) and data lineage tracking and designing data access patterns that support identity and least-priviledge access
Experience collaborating with customer business teams, IT, and partner organizations to understand data requirements and resolve access challenges and conveying technical concepts to both technical and business audiences.
Proficiency in AI-DLC or equivalent AI-accelerated development methodologies — including prompt engineering as a development discipline, mob programming with AI, and experience validating AI-generated data pipeline code for production deployment in regulated environments

Förmåner

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply.
Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Färdigheter

AWSSQLRedshiftS3AWS GlueEMRKinesisFireHoseLambdaIAMPCI DSSISO 27001HIPAANISTBigdataHiveSparkHbaseYarnKafkaAI/MLGenAIAnalyticsDatabaseStorageOMOPCDISCFHIRCollibraAlationprompt engineering

#Data#AI#Healthcare#Life Sciences#AWS#Consultant#Professional Services

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