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About the Role

Fractal is seeking a Principal Program Manager to lead large-scale data, AI, and technology transformation initiatives for a leading global biopharmaceutical company. This is a senior, client-facing architecture leadership role operating at the intersection of life sciences consulting, enterprise data platforms, AI/ML enablement, and cloud-native engineering. The individual will partner with senior client stakeholders to define modernization roadmaps, establish scalable architecture patterns, and guide the delivery of enterprise AI and data platforms on AWS and Databricks. The ideal candidate is a trusted advisor who can frame ambiguous business problems, shape solution strategy, lead executive-level conversations, and help clients modernize their data and AI foundations.

Responsibilities

Manage multiple concurrent Databricks initiatives, driving delivery across internal stakeholders and vendor partners.
Drive senior client workshops focused on problem framing, solution strategy, modernization roadmaps, and AI/data platform transformation.
Serve as a trusted technical advisor to VP, Executive Director, and senior business/technology stakeholders.
Translate business priorities and analytical needs into scalable architecture strategies, data models, platform designs, and delivery roadmaps.
Partner with client stakeholders to identify new opportunities where AI, analytics, data engineering, and cloud platforms can drive measurable business impact.
Ensure solutions are aligned to business outcomes, enterprise standards, and long-term scalability.
Own the architecture vision for modern life sciences data and AI platforms across complex, multi-team programs.
Define reference architectures, reusable patterns, governance models, and engineering standards for AI-ready data platforms.
Design scalable data architectures across ingestion, transformation, modeling, metadata, lineage, quality, consumption, and observability layers.
Guide architecture decisions across Databricks, distributed compute, data engineering, analytics, and AI/ML enablement.
Evaluate current-state data ecosystems and define practical future-state modernization roadmaps.
Ensure platform designs are secure, reliable, observable, cost-efficient, and aligned with enterprise architecture best practices.
Lead data and platform modernization efforts supporting AI foundations, governance, operational layers, context layers, and ontology-driven architectures.
Apply life sciences domain context to platform and architecture decisions.
Establish standards for data modeling, metadata management, lineage, data quality, governance, and operational excellence.
Partner with business and technical teams to design architectures supporting advanced analytics, AI/ML, self-service insights, and enterprise data products.
Ensure solutions are built to support reliability, observability, automation, and long-term adoption.
Provide architecture leadership across onsite/offshore teams, engineering squads, data product teams, and client stakeholders.
Review solution designs for scalability, performance, security, maintainability, and cost optimization.
Guide technical execution across complex programs without becoming a bottleneck for delivery teams.
Establish CI/CD, DevOps, testing, monitoring, and operational practices supporting enterprise-grade platform delivery.
Mentor architects, engineers, and technical leads on modern data platform design and AI-ready architecture patterns.
Drive technical visioning, thought leadership, in-person workshops, and client-facing architecture discussions.

Requirements

12+ years of experience in data architecture, software engineering, cloud platforms, AI/ML platforms, data engineering, or enterprise solution architecture.
7+ years of experience in consulting, client advisory, or complex enterprise technology transformation.
Strong experience working with life sciences, pharmaceutical, healthcare, or regulated enterprise data environments.
Proven ability to lead architecture across large, multi-team programs with business, technology, and executive stakeholders.
Experience developing modernization roadmaps, future-state architecture models, platform strategies, and technical governance frameworks.
Executive presence with the ability to independently lead senior stakeholder conversations, steering committee discussions, and solution strategy sessions.
Strong hands-on architecture experience with Databricks, AWS, Spark, SQL, Python, and modern data engineering practices.
Experience with cloud-native data platforms, distributed compute, MPP systems, lakehouse architectures, and enterprise-scale analytical workloads.
Strong understanding of data modeling, metadata, lineage, data quality, governance, and platform observability.
Experience with CI/CD, DevOps, automated testing, monitoring, logging, and cost optimization practices.
Familiarity with dbt Core/Cloud, Data Vault 2.0, data product architecture, and modern data transformation patterns.
Experience designing architectures across ingestion, transformation, modeling, semantic/context layers, and consumption layers.
Experience with life sciences data ecosystems, pharma data modernization, migration, and governance.
Understanding of AI foundation concepts including operational layers, context/ontology layers, data readiness, governance, and scalable platform enablement.
Ability to connect life sciences business problems to practical AI, analytics, and data platform solutions.
Experience driving adoption of enterprise data platforms, modern data practices, and AI-ready engineering standards.
Experience advising Fortune 500 or Fortune 50 clients in life sciences, healthcare, pharma, or regulated industries.
Experience with AWS services such as S3, Glue, Redshift, EMR, Lambda, Athena, Kinesis, DynamoDB, or related cloud-native services.
Experience with Databricks platform architecture, Lakehouse patterns, Unity Catalog, ML/AI enablement, or large-scale migration programs.
Experience contributing to thought leadership, solution accelerators, reusable architecture patterns, or client-facing transformation offerings.
Experience working in a global delivery model with onsite/offshore engineering and architecture teams.

Skills

Data Architecture
Software Engineering
Cloud Platforms
AI/ML Platforms
Data Engineering
Enterprise Solution Architecture
Consulting
Client Advisory
Technology Transformation
Life Sciences Data
Pharmaceutical Data
Healthcare Data
Regulated Enterprise Data
Databricks
AWS
Spark
SQL
Python
Modern Data Engineering Practices
Cloud-Native Data Platforms
Distributed Compute
MPP Systems
Lakehouse Architectures
Enterprise-Scale Analytical Workloads
Data Modeling
Metadata Management
Data Lineage
Data Quality
Data Governance
Platform Observability
CI/CD
DevOps
Automated Testing
Monitoring
Logging
Cost Optimization
dbt Core/Cloud
Data Vault 2.0
Data Product Architecture
Modern Data Transformation Patterns
Ingestion Architecture
Transformation Architecture
Modeling Architecture
Semantic/Context Layer Architecture
Consumption Layer Architecture
Pharma Data Modernization
Pharma Data Migration
AI Foundations
Operational Layers
Context Layers
Ontology-Driven Architectures
AWS S3
AWS Glue
AWS Redshift
AWS EMR
AWS Lambda
AWS Athena
AWS Kinesis
AWS DynamoDB
Databricks Platform Architecture
Databricks Lakehouse Patterns
Databricks Unity Catalog
Databricks ML/AI Enablement
Large-Scale Migration Programs
Thought Leadership
Solution Accelerators
Reusable Architecture Patterns
Client-Facing Transformation Offerings
Global Delivery Model
Onsite/Offshore Engineering
Onsite/Offshore Architecture

Location

New Jersey (Client onsite)

Work Type

Client onsite
Full-time

Experience Level

Principal
Senior
12+ years
7+ years

Salary/Compensations

$230,000

Benefits

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

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

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.