Technical Life Sciences Consultant, Pharma; Business Translator

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Technical Life Sciences Consultant, Pharma (Business Translator)

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.

Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Location: New York + New Jersey
Note: This position is not eligible for Immigration Sponsorship at this time.

We are seeking Technical Life‑sciences Consultant driving AI‑led business transformations for Fortune 50 Life‑sciences clients in New York and New Jersey, using enterprise‑scale data and platform architectures on AWS and Databricks.

The role ensures end to end Client management, program management, growth and making clients successful by ensuring solutions are scalable, secure, cost‑efficient, and aligned with modern data engineering, analytics, and AI/ML best practices. They should partner with engineering teams, data product owners, and business stakeholders to establish architectural standards, design cloud‑native data platforms, and guide technical execution across complex programs.

• Drive Senior client workshops, problem framing, solution framing
• Driving e2e client advisory, opportunity creation, demand generation
• Engage with business and technical teams to align architecture with requirements
• Support RFP/RFI responses and architectural evaluations

• Experience with life‑sciences datasets, migration and modernization
• Understanding of operational layers (L1, L2, L3) and ontology/context layers
• 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
• Experience architecting 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
• Ability to 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

• 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 )
• Deep awareness with AWS services (S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, Kinesis)

• 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

• Ability to translate complex analytical requirements into scalable architectures (data models, ETL pipelines, consumption layers)
• Experience…