Technical Life Sciences Consultant, Pharma (Business Translator) 78103

 

We are a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. We are 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 we empower imagination with intelligence. We have 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 Intelligence for Imagination for more information about us.

Location:  New York + New Jersey

Note:  This position is not eligible for Immigration Sponsorship at this time.

Role Overview

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, using enterprise-scale data and platform architectures on AWS and Databricks.

The role is responsible for end-to-end client management, program management, business growth, and client success by ensuring solutions are scalable, secure, cost-efficient, and aligned with modern data engineering, analytics, and AI/ML best practices. The consultant will 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.

Roles and Responsibilities

Stakeholder Engagement

• Drive senior client workshops, problem framing, and solution framing
• Lead end-to-end client advisory, opportunity creation, and demand generation
• Engage with business and technical teams to align architecture with business requirements
• Support RFP and RFI responses and architectural evaluations

AI Foundations in Pharma

• Experience with Life Sciences datasets, migration, and modernization
• Understanding of operational layers L1, L2, and L3, along with ontology and context layers
• Define and enforce data modeling, 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
• Assess current-state data architectures and define future-state models
• Design scalable data models for analytical and operational workloads
• Demonstrate strong understanding of metadata, lineage, data quality, and governance frameworks
• Be familiar with distributed compute paradigms and cloud-native modeling patterns

Qualifications

Core Technical Expertise

• 10+ years of experience in AI, software development, data engineering, or data architecture
• 5+ years of Life Sciences consulting experience
• Experience driving modernization initiatives for AI products with AI foundations, governance, operational layers, and context layers
• Strong experience with Databricks, dbt Core or Cloud, Python, Spark, SQL, distributed compute paradigms including in-memory, distributed, and MPP architectures, and Data Vault 2.0 including automate_dv
• Deep knowledge of AWS services including S3, Glue, Redshift, EMR, DynamoDB, Lambda, Athena, and Kinesis

Leadership and Collaboration

• Experience leading architecture across multi-team onsite and offshore delivery models
• Executive presence to lead VP and Executive Director-level meetings and steering committees independently
• Ability to drive thought leadership, technical visioning, workshops, and client success initiatives
• Life Sciences experience preferred

AI Foundations

• Ability to translate complex analytical requirements into scalable architectures including data models, ETL pipelines, and consumption layers
• Experience designing and deploying dashboards and self-service analytics on relational and non-relational databases
• Strong understanding of CI/CD, DevOps, static code analysis, and test-driven development
• Experience with cloud migration patterns and modern data platform design
• Experience defining data standards, metadata models, lineage, quality rules, and governance patterns
• Experience implementing logging, monitoring, observability, and cost optimization frameworks
• Experience driving enterprise data platform adoption and modern data practices

Compensation

The salary range for this role is based on factors including skills, experience, education, certifications, and business needs. The range has not been adjusted for geographic differentials. Compensation decisions are based on individual qualifications and business requirements.

Salary: Up to USD

Employees may also be eligible for a discretionary performance bonus.

Benefits

Eligible full-time employees, and hourly employees working more than 30 hours per week, are entitled to:

• Health insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• Benefits starting on the first day of employment
• 401(k) eligibility after 30 days of employment
• 11 paid holidays
• 12 weeks of parental leave
• Flexible PTO policy for vacation and sick leave

Equal Opportunity Employer

We provide equal employment opportunities to all employees and applicants. Employment decisions are made without regard to race, color, religion, age, sex, national origin, disability, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.