OVERVIEW
Axtria is seeking an experienced Director, Data Strategy & AI Transformation to help Life Sciences organizations unlock the value of their data and accelerate AI-driven business transformation.
This leadership role sits at the intersection of business strategy, data modernization, analytics, and artificial intelligence. The successful candidate will partner with pharmaceutical and medical device clients to define enterprise data strategies, design modern data ecosystems, and enable innovative AI, analytics, and commercial solutions that improve business performance and patient outcomes.
The ideal candidate is equally comfortable engaging with C-level executives on business strategy, advising functional leaders on data transformation, and working with technical teams to bring complex initiatives to life.
This is a highly visible consulting and client-facing leadership role that combines strategic advisory, solution development, and delivery oversight.
KEY RESPONSIBILITIES
Strategic Data & AI Advisory
Serve as a trusted advisor to Life Sciences clients on enterprise data, analytics, and AI transformation initiatives
Develop data and AI roadmaps aligned to commercial, medical, patient services, and market access business objectives
Lead executive workshops to identify opportunities for modernization, automation, and AI-enabled decision making
Partner with client executives to define business cases, investment strategies, and measurable outcomes
Data Modernization & Architecture
Define modern data strategies leveraging cloud technologies, data platforms, and scalable architecture patterns
Lead planning and implementation of enterprise data ecosystems utilizing Azure, AWS, Snowflake, Databricks, and related technologies
Drive data product thinking and promote reusable, scalable data assets
Guide clients through data platform modernization, governance, integration, and master data initiatives
AI & Advanced Analytics Enablement
Identify and operationalize opportunities to apply AI, Generative AI, machine learning, and advanced analytics across the Life Sciences value chain
Partner with data science and engineering teams to translate business needs into scalable analytical solutions
Support development of AI-powered use cases across forecasting, omnichannel engagement, customer intelligence, patient analytics, medical affairs, and commercial operations
Help clients establish responsible AI practices and adoption strategies
Client Leadership & Consulting Excellence
Lead complex strategic engagements from discovery through execution
Manage executive stakeholder relationships and become a trusted advisor across multiple client functions
Facilitate strategic discussions and present recommendations to senior leadership and C-suite audiences
Drive alignment across business, technology, and analytics stakeholders
Practice Development & Growth
Support business development efforts, proposal creation, client presentations, and solution positioning
Collaborate with sales and account teams to identify expansion opportunities
Develop thought leadership around Data, AI, and Life Sciences transformation
Contribute to capability building, accelerators, and reusable frameworks
Team Leadership
Mentor consultants, architects, and data professionals
Foster a culture of innovation, collaboration, and continuous learning
Lead cross-functional global teams across strategy, engineering, analytics, and delivery functions
DESIRED EXPERIENCE
Required
15+ years of experience in data strategy, data management, analytics, or data transformation consulting
Experience serving pharmaceutical, biotechnology, or medical device clients
Experience leading enterprise-level data modernization initiatives
Strong understanding of cloud-based data ecosystems and modern data architecture
Experience with Azure and/or AWS
Experience with Snowflake, Databricks, or comparable cloud data platforms
Proven ability to engage executive stakeholders and translate business…