Chief Data Strategist

1 week ago

udaipur, India beBeeSolution Full time

Job Title: Senior Solutions Architect – DataAs a seasoned Senior Solutions Architect, you will play a pivotal role in architecting technology stacks for customers in the Life Sciences industry. The ideal candidate will have a strong background in data engineering, architecture, or delivery leadership roles.The successful applicant will lead solution design and delivery execution for data, analytics, and AI programs across Clinical, Commercial, and Medical Affairs domains.They will provide architectural leadership, guide engineering teams, and ensure high-quality, compliant delivery for pharma clients.Key Responsibilities:Design end-to-end data platform architectures.Build scalable solutions on leading cloud platforms using best-practice patterns.Create data models and integrate pharma datasets (EDC, CTMS, IRT, CRM, 3PL, claims, hub, dispense, etc.).Produce solution blueprints, architecture diagrams, and implementation roadmaps.Lead technical delivery across multiple engagements.Conduct design reviews, guide development teams and ensure solution quality.Ensure adherence to Data governance, Security & Compliance.Oversee operational support activities, driving automation where possible and resolving data management and analytics-related issues.Contribute reusable assets, frameworks, and best practices for the practice.Bring practical knowledge of AI/ML or GenAI to enhance solution offerings.Identify opportunities & design solutions where AI can improve insights, automation, or workflow efficiency.Qualifications:Bachelor's degree in computer science/software engineering or equivalent combination of education and experience.10+ years in data engineering, architecture, or delivery leadership roles.At least 5 years of experience working in the Biotech/Pharma Industry supporting Clinical/Commercial business units to meet their Data and Reporting needs.Hands-on experience with leading cloud platforms & services including: AWS, Azure.Good-to-Have Skills:Experience with GenAI, ML pipelines, RAG architectures, embeddings, and vector DBs.Master Data Management (MDM) experience.Cloud/Data certifications (AWS/Azure/Snowflake/Databricks).CI/CD, Terraform, containerization (Docker/K8S).Deep understanding of specific business processes within the pharma value chain (e.g., clinical trial phases, supply chain logistics)Experience in designing and managing APIs for data ingestion and consumption

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