Technology Leader - Data, Analytics & AI | Healthcare & Life Sciences

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 24 sequential quarters of growth with $436.5M in Q4 FY26 revenue, up 17.4% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence™ Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix® Assessment 2025.

We are seeking a visionary and entrepreneurial Technology Leader to lead our Data, Analytics & AI practice within the Healthcare and Life Sciences (HLS) vertical. This is a pivotal leadership role that sits at the intersection of cutting-edge technology and one of the world's most impactful industries.

As Technology Leader, you will define and execute our technology strategy, build and scale next-generation AI/ML platforms, and act as the pre-eminent thought leader both internally and externally. You will work shoulder-to-shoulder with healthcare providers, payers, pharma companies, medical device manufacturers, and life sciences organizations to turn data into transformative, life-changing outcomes.

• Define and own the multi-year technology roadmap for Data, Analytics & AI across the HLS practice.
• Establish a differentiated AI/ML platform strategy that addresses unique healthcare data challenges including interoperability, regulatory compliance, and clinical safety.
• Evaluate and curate the technology ecosystem — cloud platforms (AWS, Azure, GCP), data architectures (lakehouse, mesh, fabric), and GenAI frameworks.
• Translate complex clinical and business problems into scalable, reliable technology solutions.
• Architect and govern enterprise-grade data and AI platforms handling EHR/EMR data, real-world evidence (RWE), genomics, claims, and clinical trial data.
• Drive adoption of Large Language Models (LLMs), generative AI, and responsible AI frameworks within regulated healthcare environments.
• Establish standards for data quality, lineage, observability, and governance in compliance with HIPAA, GDPR, FDA 21 CFR Part 11, and other applicable regulations.
• Champion federated learning, privacy-preserving AI, and synthetic data techniques for sensitive patient data.

• Serve as the senior-most technology advisor to CxO stakeholders at leading HLS organizations.
• Lead the technology response for major RFPs, pursuits, and strategic deals.
• Develop and deliver compelling point-of-view papers, executive briefings, and conference keynotes.
• Partner with sales and account teams to identify, shape, and close $10M+ engagements.

• Build and nurture a world-class team of data engineers, AI/ML scientists, architects, and healthcare domain experts.
• Establish centers of excellence (CoEs) and communities of practice around key technology domains.
• Define talent strategy including hiring, development, retention, and succession planning.
• Foster a culture of innovation, technical excellence, and continuous learning.

• Establish a portfolio of strategic technology partnerships with hyperscalers, ISVs, and…