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. Role: Technology Leader - Data, Analytics & Artificial Intelligence (Healthcare & Life Sciences Practice) Location: New Jersey, United States Function: Data, Analytics & AI (DA&AI) Practice Travel: Significant client facing travel expected About the Role: 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. Key Responsibilities: Enterprise Data & AI strategy for Healthcare & Lifesciences enterprises: 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. Client Engagement & Business Development: 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. Practice Development & Talent: 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. Innovation & Market Engagement: Establish a portfolio of strategic technology partnerships with hyperscalers, ISVs, and healthcare data platform providers (Epic, Cerner/Oracle Health, Veeva, Medidata, IQVIA, etc.). Drive IP creation through accelerators, frameworks, and proprietary datasets. Represent the organization at leading industry forums including HIMSS, ViVE, Bio-IT World, ASHP, and JPM Healthcare Conference. Contribute to academic and open-source communities to enhance brand equity and talent attraction. Required Qualifications: 20+ years of progressive technology leadership experience, with at least 5 years at VP/SVP/CTO level. Deep domain expertise in Healthcare and/or Life Sciences — with hands-on experience in clinical, payer, pharma, or genomics data environments. Proven track record solutioning and delivering complex, multi-year data programs across geographies, regulators, and C-suite stakeholders at Tier 1 or Tier 2 HLS institutions. Extensive client-facing experience, including board-level and CxO engagement. Strong command of modern data stack: data lakehouses, streaming (Kafka/Spark), cloud-native architectures, and MLOps frameworks. Expertise in healthcare data standards: HL7 FHIR, OMOP CDM, DICOM, ICD-10, SNOMED CT, and interoperability frameworks Bachelor's degree in Computer Science, Engineering, Biomedical Informatics, or a related field. Preferred Experience: Advanced degree (Master's or PhD) in Computer Science, Biomedical Engineering, Bioinformatics, or Data Science. Experience in management consulting or professional services in a Big 4 or top-tier technology firm. Background in clinical informatics, computational biology, or health economics outcomes research (HEOR). Published thought leadership in peer-reviewed journals or major technology conferences. Certifications in cloud platforms (AWS, Azure, GCP) and/or data governance frameworks. Data & AI Platforms: Databricks, Snowflake, dbt LLMs, RAG, LangChain Vector databases (Pinecone, Weaviate)

HL7 FHIR, OMOP, DICOM

Epic, Cerner, Oracle Health APIs HIPAA, GDPR, FDA 21 CFR Part 11 Clinical NLP & medical imaging AI RWE, genomics, claims analytics DataOps, MLOps, FinOps Zero-trust security architectures Data mesh & data fabric Strategic Vision: Ability to see around corners and build technology strategies that create durable competitive advantages. Executive Presence: Credibility and gravitas to influence board members, C-suite executives, and senior clinicians. Innovation Leadership: Champions a culture of bold experimentation, rapid prototyping, and disciplined scale-up of AI innovations. Talent Magnetism: Attracts, develops, and retains top-tier technical talent in a highly competitive market. Commercial Acumen: Deep understanding of P&L dynamics, deal structuring, and revenue growth in a services/consulting context. Responsible AI Stewardship: Uncompromising commitment to ethical AI, patient safety, data privacy, and equitable health outcomes. Competitive salary and benefits package. Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications. Opportunity to work with cutting-edge technologies. Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards. #J-18808-Ljbffr Persistent Systems