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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, utilizing enterprise-scale data and platform architectures on AWS and Databricks. This role ensures end-to-end client management, program management, growth, and client success by delivering scalable, secure, and cost-efficient solutions 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.

Responsibilities

Drive Senior client workshops, problem framing, and solution framing.
Manage end-to-end client advisory, opportunity creation, and demand generation.
Engage with business and technical teams to align architecture with requirements.
Support RFP/RFI responses and architectural evaluations.
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.
Implement logging, monitoring, observability, and cost-optimization frameworks.
Drive adoption of enterprise data platforms and modern data practices.

Requirements

10+ years in AI, software development, data engineering, or data architecture.
5+ years in life-sciences consulting.
Experience driving modernization initiatives for AI products with AI Foundations, governance, operational layers, and context layers.
Strong experience with Databricks, dbt Core/Cloud, Python, Spark, SQL, distributed compute paradigms (in-memory, distributed, MPP), and Data Vault 2.0 (including automate_dv).
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 and steer-cos independently.
Drive proactive thought leadership, technical visioning, workshops, and 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 designing and deploying dashboards and self-service analytics on relational and non-relational databases.
Strong grounding in 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.

Skills

AI
Software Development
Data Engineering
Data Architecture
Life Sciences
AWS
Databricks
dbt Core/Cloud
Python
Spark
SQL
Distributed Compute Paradigms
Data Vault 2.0
S3
Glue
Redshift
EMR
DynamoDB
Lambda
Athena
Kinesis
CI/CD
DevOps
Static Code Analysis
Test-Driven Development
Cloud Migration
Data Modeling
Metadata Management
Data Lineage
Data Quality
Data Governance
Observability
Reliability
Operational Excellence
Scalability
Performance
Security
Cost Optimization

Location

New York
New Jersey

Work Type

Onsite

Experience Level

10+ years in AI, software development, data engineering, or data architecture
5+ years in life-sciences consulting

Salary/Compensations

Up to $150,000

Benefits

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) Plan
11 paid holidays
12 weeks of Parental Leave
Flexible PTO (free time)

About the Company

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise.
Fractal is building an ecosystem where human imagination is at the heart of every decision.
Fractal has been featured as a Great Place to Work by The Economic Times and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Equal Opportunity

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.