Principal Program Manager, Fractal
Databricks & Enterprise Data Platforms
$230-250k
This role is also eligible for a performance-based bonus tied to achieving sales goals related to new client acquisition and project growth
More information about location
5 days a week in office
AI-driven data analytics platform
Posted today
AI-driven data analytics platform
1001+ employees
Posted today
$230-250k
This role is also eligible for a performance-based bonus tied to achieving sales goals related to new client acquisition and project growth
More information about location
5 days a week in office
1001+ employees
Company mission
To reshape business through science and advanced data tools and uncomplicate decision-making, so human intelligence can be freed from the drudgery of monotonous work and committed to the pursuit of imagination and creative rewards.
Role
Who you are
- The ideal candidate is not just a strong technologist. They are 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 in a secure, scalable, governed, and cost-effective way
- 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
Desirable
- 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
What the job involves
- Fractal is seeking a Principal Program Manager to lead large-scale data, AI, and technology transformation initiatives for a leading global biopharmaceutical company based in the New Jersey region
- This is a senior, client-facing architecture leadership role for someone who can operate at the intersection of life sciences consulting, enterprise data platforms, AI/ML enablement, and cloud-native engineering
- The person will partner with senior client stakeholders, data product owners, engineering leaders, and business teams to define modernization roadmaps, establish scalable architecture patterns, and guide the delivery of enterprise AI and data platforms on AWS and Databricks
- Program Manager:
- Manage multiple concurrent Databricks initiatives for a leading global biopharmaceutical company, driving delivery across internal stakeholders and vendor partners
- Be the Clients’ Trusted Advisor
- 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
- Help drive client success by ensuring solutions are aligned to business outcomes, enterprise standards, and long-term scalability
- Enterprise AI & Data Architecture:
- 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
- AI Foundations in Life Sciences:
- Lead data and platform modernization efforts that support AI foundations, governance, operational layers, context layers, and ontology-driven architectures
- Apply life sciences domain context to platform and architecture decisions, including experience with pharma data ecosystems, modernization, migration, and analytical workloads
- Establish standards for data modeling, metadata management, lineage, data quality, governance, and operational excellence
- Partner with business and technical teams to design architectures that support advanced analytics, AI/ML, self-service insights, and enterprise data products
- Ensure solutions are built to support reliability, observability, automation, and long-term adoption
- Technical Leadership & Delivery Governance:
- 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 that support 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
Application process
- End Date: November 30, 2026
Our take
The analysis of business data is essential in making operational changes based on forecasting, managing supply chains, and optimizing revenue, but the mass of available data can be overwhelming. This can sometimes be combated with the power of AI-driven data analysis tools, but existing solutions are usually designed to solve specific problems within specialized industries.
Fractal develops AI-driven tools and platforms for businesses, including a conversational AI platform called Senseforth, a revenue growth AI tool called Samya, AI algorithms for medical imaging named Qure, and an all-in-one data analytics platform called Crux Intelligence. The company develops its solutions to be flexible and applicable within a wide range of industries including consumer packaged goods, healthcare, financial services, and media.
Whilst AI-driven business tools are commonplace, Fractal has taken the smart approach of developing a suite of flexible AI tools that can tackle problems in many industries, as opposed to focusing on a specific problem or industry. This strategy has positioned the company well for continued growth and impact, reflecting its broad applicability and potential in the market.
Steph
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jan 2022
$360m
GROWTH EQUITY VC
Jan 2019
$200m
GROWTH EQUITY VC
Total funding: $685m
Company HQ
World Trade Center, New York, NY
Articles
Leadership
Pranay Agrawal
(Co-Founder, CEO & EVP of Global Client Development)Pranay co-founded Fractal in 2001, serving as EV of Global Client Development since then and CEO since 2016.
Srikanth Velamakanni
(Co-Founder, Group Chief Executive & Executive Vice Chairman)After co-founding Fractal, Srikanth served as the CEO until moving into the role of Group Chief Executive & Executive Vice Chairman. He is also a Vice Chairperson at nasscom, Non Executive Chairman at ideaForge and co-founder & Trustee at Plaksha University.
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