Director, Full Stack Software Engineering & AI

Job Description

We are seeking a Full Stack Software Engineering & AI to lead the endtoend data product, analytics, and AI transformation of our Life Sciences & Healthcare portfolio. This is a unique opportunity to define and scale customerfacing data products built on strong software engineering foundations, robust data modeling, and productiongrade AIadvancing drug discovery, realworld evidence, patient journey modeling, and treatment effectiveness analytics.You will own the data product strategy, dimensional data architecture, engineering standards, platform design and AI roadmap, ensuring our data products are trusted, performant, discoverable, and monetizable.About You Experience, Skills & AccomplishmentsMinimum 15 years in data engineering, software engineering, analytics, or data product leadership, including 4 years managing managers and global teamsProven success building and scaling enterprise-grade data products using software engineering and data modeling best practicesDeep experience embedding AI, ML, and GenAI into data-centric and analytics-driven productsStrong data modeling expertise:Dimensional modeling (facts & dimensions)Star and snowflake schema designConformed dimensions and analytical data modelsModeling for BI, analytics, and AI/ML workloadsExperience creating domain-oriented data models, semantic layers, and metrics frameworksHands-on or architectural experience with cloud-native development (AWS, Azure, or GCP) and data platform engineeringProficiency in Python, Java, SQL, microservices, and data-centric application developmentGood knowledge of AWS services (EC2, Lambda, S3, RDS), Docker, Kubernetes, and CI/CD for data/AI workloadsExpertise with modern data platforms (Snowflake, Databricks, lakehouse architectures, Spark, and streaming frameworks )Background in AI/ML frameworks (TensorFlow, PyTorch), MLOps, feature stores, and model lifecycle management will be a plusExperience with Generative AI, LLMs, RAG architectures, agentic systems, and MCP (Model Context Protocol) a strong plusBachelors or Masters degree in Computer Science, Data Science, Engineering, or related fieldBonus PointsExperience delivering commercial data-as-a-product or analytics offeringsFamiliarity with Life Sciences/Healthcare domains (RWE, clinical, or commercial data models)Strong passion for customer outcomes, product thinking, and measurable business impactWhat You Will Be DoingData Product, Analytics & AI StrategyLead and scale a global organization of 30 engineers delivering large-scale, mission-critical data products trusted by top 20 global pharmaceutical companiesDefine and drive the data product, analytics, and AI roadmap across the LSH portfolioPartner with product and business leaders to design analytics-ready, customer-centric data productsEstablish data product ownership, SLAs, quality KPIs, and lifecycle managementEnsure governance, privacy, and compliance are embedded by designSoftware Engineering & Data ModelingLead the design and delivery of softwareengineered, modular, API-first data productsOwn enterprise analytical data models, including dimensional models, star/snowflake schemas, conformed dimensions, and reusable metricsEnsure data models support highperformance analytics, BI, ML, and GenAI use casesChampion engineering excellence: test automation, CI/CD, observability, data quality, performance optimizationData Platform & Analytics EngineeringOwn cloud data platform architecturelakehouse, streaming, and real-time analytics capabilitiesEnable semantic modeling, analytics engineering, and self-service BI through trusted dimensional modelsDefine standards for data quality, lineage, metadata, discoverability, and metric consistencyOptimize models for scalability, cost efficiency, and performanceAI, GenAI & Intelligent Data ProductsLead development of AI-powered data productspredictive analytics, GenAI, and LLM-based experiencesDrive MLOps and LLMOps to operationalize AI at scaleExplore advanced capabilities such as metrics-aware LLMs, semantic search over dimensional models, and agentic analyticsLeadership & Team DevelopmentBuild, mentor, and grow a high-impact global team across data modeling, data engineering, ML engineering, and platform engineeringFoster a data-model-driven, product-centric, engineering-first cultureLead hiring, talent development, and performance managementCollaboration & InfluencePartner with product, data science, BI, and business leaders to align metrics, dimensions, and analytical logicCommunicate data product strategy, modeling decisions, and AI outcomes to senior executivesAbout the TeamYou will join the Life Sciences & Healthcare Commercial Product Engineering organization, leading a globally distributed team across India and the United States focused on delivering high-quality, AI-powered, well-modeled data products at scale.Hours of workFull-time .

Keyskills :
Data EngineeringSoftware EngineeringData ModelingDimensional ModelingPythonJavaSQLMicroservices