Technical Life Sciences Consultant, Pharma (Data Governance)

About the role

We are seeking a Technical Life-sciences Consultant to drive AI-led business transformations for Fortune 50 Life-sciences clients in New York and New Jersey. The role involves end-to-end client management, program management, and growth, ensuring solutions are scalable, secure, cost-efficient, and aligned with modern data engineering, analytics, and AI/ML best practices.

Responsibilities

• Drive senior client workshops, problem framing, and solution framing
• Engage with business and technical teams to align architecture with requirements
• Support RFP/RFI responses and architectural evaluations
• AI Foundations in Pharma: experience with life-sciences datasets, migration and modernization
• Define and enforce data modelling, metadata, lineage, and quality standards
• Implement CI/CD pipelines and monitoring frameworks
• Ensure architectures support observability, reliability, and operational excellence
• Architect end-to-end solutions on AWS and Databricks
• Define architectural standards, patterns, and best practices
• Review and guide solution designs for scalability, performance, and security
• Evaluate technology options and recommend long-term architectural strategies
• Translate business and analytical requirements into scalable data models
• Experience assessing current-state data architectures and defining future-state models
• Experience designing scalable data models for analytical and operational workloads
• Strong understanding of metadata, lineage, data quality, and governance frameworks
• Familiarity with distributed compute paradigms and cloud-native modeling patterns

Qualifications

• Core Technical Expertise: 10+ years in AI, software development, data engineering, or data architecture; 5+ years in life-sciences consulting; driven modernization initiatives for AI products with AI Foundations, governance, operational layers, context layers; strong experience with Databricks, dbt Core/Cloud, Python, Spark, SQL, distributed compute paradigms (in-memory, distributed, MPP); Data Vault 2.0 experience (including automate_dv)
• Experience with AWS services: S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, Kinesis
• Leadership & Collaboration: experience leading architecture across multi-team, onsite/offshore delivery models; executive presence to drive VP, Exec Director level meetings, steer-cos independently; drive proactive thought leadership, technical visioning, workshops, in-person client success initiatives; life-sciences experience preferred; AI Foundations; ability to translate complex analytical requirements into scalable architectures (data models, ETL pipelines, consumption layers)

Benefits

• Health, dental, vision, life insurance, and disability plans
• Discretionary bonus
• 11 paid holidays and 12 weeks of Parental Leave
• Free time PTO policy
• Company 401(k) Plan after 30 days of employment