Technical Life Sciences Consultant, Pharma (Data Governance)

Fractal; New York (NY); On-site; USD 135,000 - 165,000; Full time

Job summary

Fractal seeks 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.

Qualifications

• 10+ years in AI, software development, data engineering, or data architecture.
• 5+ years in life-sciences consulting.
• Driven modernization initiatives for AI products with governance and data layers.
• Strong experience with Databricks, dbt Core/Cloud, Python, Spark, SQL and distributed compute.

Responsibilities

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

Skills

Databricks

dbt Core

Python

SQL

Spark

AWS

Data governance

Life sciences

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

Technical Life Sciences Consultant, Pharma (Data Governance)

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.

Role Overview

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.

Roles & Responsibilities

Stakeholder Engagement

• 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

AI Foundations in Pharma

• 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

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)
• Deep awareness 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)
• 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
• Experience implementing logging, monitoring, observability, and cost‑optimization frameworks
• Experience driving adoption of enterprise data platforms and modern data practices

Pay

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range Up to $150,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.

Benefits

As a full‑time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

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.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!